--- EXPERIMENT NOTES
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken.
#
### General parameters ###
#
# The maximum number of sequences to use for the master file
sequence_limit=90
# The random seed
random_seed=3976763
#
### Alignment ###
#
# The alignment method: clustalw, muscle, kalign, t_coffee, or amap
align_method=muscle
# Minimum support value for amino acid positions in the alignment
tcoffee_min_score=3
#
### MrBayes ###
#
# Number of iterations in MrBayes
mrbayes_generations=1000000
# MrBayes burnin
mrbayes_burnin=2500
#
### FUBAR ###
#
# The maximum number of sequences to be used by FUBAR.
fubar_sequence_limit=90
# The number of FUBAR runs
fubar_runs=1
#
### codeML ###
#
# The maximum number of sequences to be used by CodeML
codeml_sequence_limit=30
# The number of CodeML runs
codeml_runs=1
# The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'.
codeml_models=1 2 7 8
#
### OmegaMap ###
#
# The maximum number of sequences to use in OmegaMap
omegamap_sequence_limit=90
# The number of OmegaMap runs
omegamap_runs=1
# The number of OmegaMap iterations
omegamap_iterations=2500
--- EXPERIMENT PROPERTIES
--- PSRF SUMMARY
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -703.19 -723.49
2 -702.62 -720.98
--------------------------------------
TOTAL -702.86 -722.88
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.071554 0.000609 0.031372 0.118848 0.066702 249.66 460.50 1.000
r(A<->C){all} 0.047443 0.002108 0.000061 0.143547 0.033003 205.65 222.70 1.000
r(A<->G){all} 0.369725 0.010883 0.185455 0.579342 0.364672 78.63 79.24 1.000
r(A<->T){all} 0.022129 0.000465 0.000005 0.065063 0.016177 390.71 434.83 1.000
r(C<->G){all} 0.049648 0.002419 0.000040 0.151526 0.033923 131.48 133.52 1.000
r(C<->T){all} 0.463129 0.011066 0.264417 0.663237 0.460671 90.18 138.37 1.001
r(G<->T){all} 0.047927 0.001087 0.000412 0.111007 0.041068 289.98 336.23 1.002
pi(A){all} 0.248161 0.000474 0.206170 0.291312 0.248059 1012.21 1025.36 1.001
pi(C){all} 0.148911 0.000288 0.117113 0.182207 0.148354 940.43 983.96 1.000
pi(G){all} 0.239452 0.000427 0.198005 0.277497 0.238743 738.75 918.08 1.000
pi(T){all} 0.363475 0.000550 0.315593 0.407617 0.363062 900.82 942.57 1.003
alpha{1,2} 0.400466 0.438994 0.000468 1.712459 0.151900 406.44 423.74 1.000
alpha{3} 1.791556 1.558223 0.001470 4.200368 1.537731 569.28 775.92 1.000
pinvar{all} 0.513429 0.054434 0.067314 0.849455 0.565450 250.71 260.79 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
--- CODEML SUMMARY
Model 1: NearlyNeutral -626.619715
Model 2: PositiveSelection -626.619715
Model 7: beta -626.731496
Model 8: beta&w>1 -626.618492
Model 2 vs 1 0
Model 8 vs 7 .226008
-- Starting log on Sat Nov 05 01:39:45 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.09 sec, SCORE=1000, Nseq=26, Len=135
C1 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C2 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C3 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C4 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C5 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPISNCIKMLSNGAG
C6 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C7 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C8 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C9 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C10 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C11 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C12 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C13 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C14 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C15 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C16 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C17 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C18 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C19 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C20 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C21 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C22 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C23 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C24 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C25 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C26 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
*************************************:************
C1 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C2 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C3 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C4 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C5 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C6 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C7 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C8 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C9 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C10 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C11 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C12 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C13 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C14 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C15 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C16 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C17 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C18 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C19 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C20 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C21 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C22 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C23 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C24 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C25 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C26 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
**************************************************
C1 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C2 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C3 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C4 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C5 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C6 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C7 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C8 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C9 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C10 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C11 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C12 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C13 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C14 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C15 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C16 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C17 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C18 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C19 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C20 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C21 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C22 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C23 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C24 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C25 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C26 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
***********************************
-- Starting log on Sat Nov 05 01:40:11 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.16 sec, SCORE=1000, Nseq=26, Len=135
C1 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C2 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C3 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C4 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C5 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPISNCIKMLSNGAG
C6 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C7 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C8 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C9 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C10 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C11 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C12 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C13 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C14 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C15 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C16 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C17 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C18 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C19 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C20 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C21 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C22 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C23 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C24 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C25 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C26 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
*************************************:************
C1 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C2 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C3 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C4 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C5 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C6 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C7 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C8 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C9 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C10 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C11 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C12 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C13 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C14 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C15 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C16 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C17 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C18 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C19 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C20 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C21 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C22 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C23 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C24 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C25 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C26 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
**************************************************
C1 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C2 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C3 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C4 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C5 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C6 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C7 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C8 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C9 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C10 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C11 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C12 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C13 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C14 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C15 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C16 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C17 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C18 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C19 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C20 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C21 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C22 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C23 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C24 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C25 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C26 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
***********************************
-- Starting log on Sat Nov 05 02:43:22 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/gapped_alignment/codeml,NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1--
MrBayes v3.2.6 x64
(Bayesian Analysis of Phylogeny)
Distributed under the GNU General Public License
Type "help" or "help <command>" for information
on the commands that are available.
Type "about" for authorship and general
information about the program.
Executing file "/data/mrbayes_input.nex"
UNIX line termination
Longest line length = 63
Parsing file
Expecting NEXUS formatted file
Reading data block
Allocated taxon set
Allocated matrix
Defining new matrix with 26 taxa and 405 characters
Missing data coded as ?
Data matrix is interleaved
Data is Dna
Gaps coded as -
Matching characters coded as .
Taxon 1 -> C1
Taxon 2 -> C10
Taxon 3 -> C11
Taxon 4 -> C12
Taxon 5 -> C13
Taxon 6 -> C14
Taxon 7 -> C15
Taxon 8 -> C16
Taxon 9 -> C17
Taxon 10 -> C18
Taxon 11 -> C19
Taxon 12 -> C2
Taxon 13 -> C20
Taxon 14 -> C21
Taxon 15 -> C22
Taxon 16 -> C23
Taxon 17 -> C24
Taxon 18 -> C25
Taxon 19 -> C26
Taxon 20 -> C3
Taxon 21 -> C4
Taxon 22 -> C5
Taxon 23 -> C6
Taxon 24 -> C7
Taxon 25 -> C8
Taxon 26 -> C9
Successfully read matrix
Setting default partition (does not divide up characters)
Setting model defaults
Seed (for generating default start values) = 1667616204
Setting output file names to "/data/mrbayes_input.nex.run<i>.<p|t>"
Exiting data block
Reading mrbayes block
Setting autoclose to yes
Setting nowarnings to yes
Defining charset called 'first_pos'
Defining charset called 'second_pos'
Defining charset called 'third_pos'
Defining partition called 'by_codon'
Setting by_codon as the partition, dividing characters into 3 parts.
Setting model defaults
Seed (for generating default start values) = 1746760034
Setting Nst to 6 for partition 1
Setting Nst to 6 for partition 2
Setting Nst to 6 for partition 3
Setting Rates to Invgamma for partition 1
Setting Rates to Invgamma for partition 2
Setting Rates to Invgamma for partition 3
Successfully set likelihood model parameters to all
applicable data partitions
Unlinking
Setting number of generations to 1000000
Running Markov chain
MCMC stamp = 3919013160
Seed = 104775156
Swapseed = 1667616204
Model settings:
Settings for partition 1 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 2 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Settings for partition 3 --
Datatype = DNA
Nucmodel = 4by4
Nst = 6
Substitution rates, expressed as proportions
of the rate sum, have a Dirichlet prior
(1.00,1.00,1.00,1.00,1.00,1.00)
Covarion = No
# States = 4
State frequencies have a Dirichlet prior
(1.00,1.00,1.00,1.00)
Rates = Invgamma
The distribution is approximated using 4 categories.
Likelihood summarized over all rate categories in each generation.
Shape parameter is exponentially
distributed with parameter (1.00).
Proportion of invariable sites is uniformly dist-
ributed on the interval (0.00,1.00).
Active parameters:
Partition(s)
Parameters 1 2 3
---------------------------
Revmat 1 1 1
Statefreq 2 2 2
Shape 3 3 4
Pinvar 5 5 5
Ratemultiplier 6 6 6
Topology 7 7 7
Brlens 8 8 8
---------------------------
Parameters can be linked or unlinked across partitions using 'link' and 'unlink'
1 -- Parameter = Revmat{all}
Type = Rates of reversible rate matrix
Prior = Dirichlet(1.00,1.00,1.00,1.00,1.00,1.00)
Partitions = All
2 -- Parameter = Pi{all}
Type = Stationary state frequencies
Prior = Dirichlet
Partitions = All
3 -- Parameter = Alpha{1,2}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partitions = 1 and 2
4 -- Parameter = Alpha{3}
Type = Shape of scaled gamma distribution of site rates
Prior = Exponential(1.00)
Partition = 3
5 -- Parameter = Pinvar{all}
Type = Proportion of invariable sites
Prior = Uniform(0.00,1.00)
Partitions = All
6 -- Parameter = Ratemultiplier{all}
Type = Partition-specific rate multiplier
Prior = Fixed(1.0)
Partitions = All
7 -- Parameter = Tau{all}
Type = Topology
Prior = All topologies equally probable a priori
Partitions = All
Subparam. = V{all}
8 -- Parameter = V{all}
Type = Branch lengths
Prior = Unconstrained:GammaDir(1.0,0.1000,1.0,1.0)
Partitions = All
The MCMC sampler will use the following moves:
With prob. Chain will use move
0.91 % Dirichlet(Revmat{all})
0.91 % Slider(Revmat{all})
0.91 % Dirichlet(Pi{all})
0.91 % Slider(Pi{all})
1.82 % Multiplier(Alpha{1,2})
1.82 % Multiplier(Alpha{3})
1.82 % Slider(Pinvar{all})
9.09 % ExtSPR(Tau{all},V{all})
9.09 % ExtTBR(Tau{all},V{all})
9.09 % NNI(Tau{all},V{all})
9.09 % ParsSPR(Tau{all},V{all})
36.36 % Multiplier(V{all})
12.73 % Nodeslider(V{all})
5.45 % TLMultiplier(V{all})
Division 1 has 6 unique site patterns
Division 2 has 4 unique site patterns
Division 3 has 22 unique site patterns
Initializing conditional likelihoods
Using standard SSE likelihood calculator for division 1 (single-precision)
Using standard SSE likelihood calculator for division 2 (single-precision)
Using standard SSE likelihood calculator for division 3 (single-precision)
Initializing invariable-site conditional likelihoods
Initial log likelihoods and log prior probs for run 1:
Chain 1 -- -1137.380042 -- 74.568658
Chain 2 -- -1141.449048 -- 74.568658
Chain 3 -- -1112.534904 -- 74.568658
Chain 4 -- -1147.902768 -- 74.568658
Initial log likelihoods and log prior probs for run 2:
Chain 1 -- -1144.041195 -- 74.568658
Chain 2 -- -1124.344915 -- 74.568658
Chain 3 -- -1149.506572 -- 74.568658
Chain 4 -- -1144.201258 -- 74.568658
Using a relative burnin of 25.0 % for diagnostics
Chain results (1000000 generations requested):
0 -- [-1137.380] (-1141.449) (-1112.535) (-1147.903) * [-1144.041] (-1124.345) (-1149.507) (-1144.201)
1000 -- [-732.050] (-761.947) (-746.470) (-758.549) * (-740.427) (-769.666) [-756.241] (-761.707) -- 0:00:00
2000 -- (-742.567) [-721.728] (-732.802) (-734.007) * (-727.912) [-724.491] (-741.453) (-731.573) -- 0:08:19
3000 -- [-717.903] (-718.733) (-746.402) (-728.134) * [-714.663] (-718.218) (-734.457) (-732.693) -- 0:05:32
4000 -- (-716.186) [-716.812] (-723.621) (-721.638) * [-712.159] (-717.600) (-747.637) (-721.316) -- 0:04:09
5000 -- (-718.606) (-719.777) (-719.627) [-717.894] * [-710.163] (-719.874) (-729.373) (-726.309) -- 0:06:38
Average standard deviation of split frequencies: 0.074559
6000 -- [-708.145] (-714.731) (-725.971) (-713.571) * (-718.265) [-713.188] (-733.371) (-722.893) -- 0:05:31
7000 -- [-709.326] (-712.624) (-757.021) (-724.609) * [-716.630] (-717.811) (-721.992) (-712.235) -- 0:07:05
8000 -- [-708.843] (-718.040) (-759.509) (-720.824) * [-710.950] (-729.167) (-726.564) (-719.669) -- 0:06:12
9000 -- (-712.890) [-707.499] (-749.779) (-709.130) * [-712.435] (-709.910) (-732.923) (-725.990) -- 0:05:30
10000 -- [-717.880] (-717.976) (-751.786) (-713.546) * [-711.815] (-739.409) (-721.907) (-709.029) -- 0:06:36
Average standard deviation of split frequencies: 0.068546
11000 -- [-711.839] (-712.486) (-750.119) (-712.201) * [-719.727] (-748.556) (-725.301) (-721.179) -- 0:05:59
12000 -- (-720.741) [-711.400] (-757.484) (-714.245) * (-709.197) (-757.209) [-713.368] (-718.765) -- 0:06:51
13000 -- (-709.334) [-713.839] (-761.993) (-721.792) * [-707.490] (-729.183) (-718.260) (-726.757) -- 0:06:19
14000 -- (-714.484) [-708.824] (-754.637) (-708.539) * (-710.177) (-754.528) [-706.027] (-723.351) -- 0:05:52
15000 -- (-714.940) [-709.174] (-749.266) (-716.481) * (-722.775) (-747.645) [-718.861] (-714.524) -- 0:06:34
Average standard deviation of split frequencies: 0.056176
16000 -- (-712.560) [-702.779] (-752.413) (-718.109) * (-719.070) (-755.943) [-714.594] (-717.808) -- 0:06:09
17000 -- (-703.637) [-699.457] (-749.824) (-739.972) * [-709.071] (-758.913) (-709.469) (-709.422) -- 0:05:46
18000 -- [-714.593] (-705.293) (-754.256) (-730.311) * [-702.460] (-748.874) (-733.637) (-715.068) -- 0:06:21
19000 -- [-711.085] (-710.903) (-759.654) (-725.094) * [-703.904] (-767.746) (-723.415) (-705.339) -- 0:06:01
20000 -- (-719.486) (-713.440) (-746.603) [-714.501] * [-706.033] (-757.319) (-721.061) (-713.901) -- 0:06:32
Average standard deviation of split frequencies: 0.049024
21000 -- (-714.488) [-708.419] (-755.517) (-721.771) * (-709.849) (-746.662) (-720.116) [-713.358] -- 0:06:12
22000 -- [-703.543] (-715.929) (-747.695) (-728.201) * [-711.999] (-755.248) (-716.533) (-730.118) -- 0:05:55
23000 -- [-705.027] (-725.256) (-740.442) (-714.762) * [-703.839] (-751.089) (-731.414) (-717.043) -- 0:06:22
24000 -- (-710.641) [-714.495] (-748.802) (-734.519) * [-719.057] (-755.713) (-722.025) (-715.777) -- 0:06:06
25000 -- [-707.770] (-720.869) (-748.846) (-724.510) * [-710.763] (-748.069) (-718.984) (-704.388) -- 0:05:51
Average standard deviation of split frequencies: 0.043377
26000 -- (-711.117) [-715.862] (-738.030) (-718.533) * [-708.651] (-754.704) (-712.771) (-714.435) -- 0:06:14
27000 -- (-710.599) [-715.402] (-764.798) (-733.894) * [-708.977] (-758.951) (-712.459) (-713.554) -- 0:06:00
28000 -- (-712.871) [-713.306] (-759.055) (-717.827) * (-716.896) (-747.619) [-708.844] (-728.209) -- 0:05:47
29000 -- (-711.887) [-709.133] (-759.954) (-728.870) * [-709.007] (-755.789) (-736.063) (-715.482) -- 0:06:08
30000 -- (-708.564) [-716.439] (-746.318) (-717.068) * [-710.424] (-756.615) (-751.246) (-721.785) -- 0:05:55
Average standard deviation of split frequencies: 0.041136
31000 -- (-711.583) [-713.851] (-751.768) (-715.085) * [-710.237] (-755.468) (-748.238) (-721.147) -- 0:06:15
32000 -- (-716.331) [-717.770] (-747.918) (-726.452) * [-715.614] (-748.521) (-748.492) (-719.298) -- 0:06:03
33000 -- (-717.060) [-709.598] (-753.310) (-714.682) * [-708.949] (-743.204) (-744.210) (-716.905) -- 0:05:51
34000 -- (-737.067) [-713.880] (-756.347) (-719.277) * [-710.774] (-761.757) (-747.427) (-714.024) -- 0:06:09
35000 -- (-719.108) [-708.537] (-764.454) (-718.242) * [-709.164] (-746.702) (-747.804) (-702.701) -- 0:05:58
Average standard deviation of split frequencies: 0.041043
36000 -- (-765.016) [-709.819] (-748.765) (-714.010) * [-704.298] (-743.513) (-753.932) (-706.118) -- 0:05:48
37000 -- (-745.874) (-716.671) (-744.026) [-707.836] * [-710.808] (-748.474) (-751.665) (-706.257) -- 0:06:04
38000 -- (-747.237) (-725.621) (-747.017) [-709.475] * [-706.430] (-755.637) (-744.863) (-709.547) -- 0:05:54
39000 -- (-751.300) (-719.105) (-742.716) [-712.624] * [-711.314] (-752.673) (-748.753) (-715.180) -- 0:06:09
40000 -- (-749.793) (-711.185) (-749.438) [-711.777] * [-710.848] (-753.989) (-746.434) (-708.892) -- 0:06:00
Average standard deviation of split frequencies: 0.042438
41000 -- (-747.421) (-706.936) (-757.091) [-722.445] * [-712.716] (-757.752) (-742.290) (-713.407) -- 0:05:50
42000 -- (-753.447) [-708.561] (-749.021) (-720.200) * [-704.433] (-752.082) (-746.543) (-717.848) -- 0:06:04
43000 -- (-745.987) (-714.195) (-746.015) [-717.064] * [-715.624] (-752.649) (-750.140) (-706.462) -- 0:05:56
44000 -- (-746.416) [-713.578] (-749.974) (-714.694) * [-717.296] (-749.346) (-741.321) (-723.582) -- 0:05:47
45000 -- (-738.187) (-714.115) (-750.121) [-708.907] * [-710.027] (-739.744) (-751.775) (-722.250) -- 0:06:00
Average standard deviation of split frequencies: 0.039655
46000 -- (-755.886) (-716.693) (-756.469) [-706.376] * [-715.893] (-748.601) (-738.268) (-720.778) -- 0:05:52
47000 -- (-760.225) [-716.111] (-748.327) (-718.451) * [-705.580] (-747.739) (-742.948) (-720.147) -- 0:06:04
48000 -- (-745.842) [-712.143] (-760.649) (-718.836) * [-707.531] (-760.480) (-748.209) (-716.845) -- 0:05:57
49000 -- (-763.480) (-720.139) (-756.417) [-712.458] * [-705.724] (-744.874) (-745.757) (-709.516) -- 0:05:49
50000 -- (-747.151) [-708.235] (-744.127) (-718.056) * [-707.026] (-746.265) (-746.694) (-705.374) -- 0:06:01
Average standard deviation of split frequencies: 0.038693
51000 -- (-742.514) [-710.715] (-744.950) (-719.522) * [-711.523] (-751.686) (-758.559) (-717.079) -- 0:05:53
52000 -- (-749.417) [-704.663] (-745.427) (-712.583) * [-709.777] (-743.149) (-749.449) (-721.589) -- 0:05:46
53000 -- (-750.325) [-707.722] (-746.843) (-716.921) * [-706.811] (-750.077) (-751.675) (-715.324) -- 0:05:57
54000 -- (-764.337) (-711.315) (-748.294) [-709.471] * [-709.661] (-751.908) (-752.095) (-715.820) -- 0:05:50
55000 -- (-743.403) [-702.815] (-757.564) (-708.946) * [-707.306] (-757.379) (-751.233) (-714.461) -- 0:05:43
Average standard deviation of split frequencies: 0.035496
56000 -- (-750.790) [-703.930] (-741.851) (-717.630) * [-707.107] (-742.007) (-746.900) (-725.960) -- 0:05:54
57000 -- (-752.059) [-707.461] (-744.911) (-722.945) * [-710.405] (-745.953) (-749.826) (-724.576) -- 0:05:47
58000 -- (-753.048) [-707.254] (-752.595) (-719.778) * [-707.945] (-754.190) (-755.604) (-712.294) -- 0:05:57
59000 -- (-748.060) (-716.899) (-753.214) [-712.270] * [-714.361] (-752.689) (-763.452) (-708.245) -- 0:05:50
60000 -- (-753.372) [-705.928] (-744.157) (-714.700) * [-710.187] (-760.852) (-756.815) (-717.736) -- 0:05:44
Average standard deviation of split frequencies: 0.032610
61000 -- (-748.762) [-707.905] (-748.627) (-710.128) * (-716.887) (-754.603) (-744.337) [-708.468] -- 0:05:54
62000 -- (-750.397) (-715.109) (-748.603) [-711.626] * [-708.237] (-768.127) (-745.604) (-711.445) -- 0:05:47
63000 -- (-746.175) (-714.983) (-752.929) [-712.686] * (-711.077) (-760.037) (-747.381) [-707.267] -- 0:05:42
64000 -- (-739.500) [-712.085] (-749.370) (-712.371) * (-715.545) (-757.543) (-756.581) [-702.973] -- 0:05:51
65000 -- (-751.202) [-705.433] (-746.829) (-711.266) * (-715.643) (-761.559) (-750.229) [-707.946] -- 0:05:45
Average standard deviation of split frequencies: 0.030837
66000 -- (-748.823) [-711.564] (-741.127) (-719.284) * [-702.069] (-752.832) (-745.602) (-705.715) -- 0:05:39
67000 -- (-757.990) [-714.308] (-743.402) (-710.245) * (-706.706) (-755.685) (-747.507) [-707.886] -- 0:05:48
68000 -- (-755.631) [-702.658] (-753.249) (-706.044) * (-706.973) (-755.106) (-744.593) [-709.409] -- 0:05:42
69000 -- (-755.998) [-710.822] (-766.489) (-712.534) * [-702.641] (-743.710) (-745.173) (-707.591) -- 0:05:50
70000 -- (-745.767) (-702.860) (-745.794) [-712.729] * (-711.937) (-757.719) (-741.831) [-709.709] -- 0:05:45
Average standard deviation of split frequencies: 0.029266
71000 -- (-758.674) [-705.273] (-741.352) (-714.548) * (-709.571) (-749.060) (-745.646) [-715.087] -- 0:05:40
72000 -- (-753.203) (-707.054) (-747.616) [-710.985] * (-708.108) (-740.171) (-748.684) [-707.308] -- 0:05:48
73000 -- (-755.431) (-707.396) (-747.832) [-715.551] * (-706.490) (-736.756) (-736.945) [-708.143] -- 0:05:42
74000 -- (-743.850) (-718.641) (-751.818) [-702.736] * (-709.214) (-750.933) (-746.441) [-705.743] -- 0:05:37
75000 -- (-746.990) [-705.800] (-756.567) (-714.418) * (-718.136) (-749.794) (-746.769) [-706.048] -- 0:05:45
Average standard deviation of split frequencies: 0.027085
76000 -- (-750.077) [-709.442] (-747.771) (-719.187) * (-707.734) (-749.407) (-746.677) [-710.483] -- 0:05:40
77000 -- (-756.247) [-707.222] (-749.226) (-716.138) * (-704.841) (-742.868) (-749.514) [-710.397] -- 0:05:35
78000 -- (-751.346) (-722.288) (-754.284) [-705.562] * (-705.105) (-747.654) (-742.131) [-711.689] -- 0:05:42
79000 -- (-755.408) [-708.099] (-744.871) (-709.797) * (-709.434) (-740.800) (-754.851) [-705.418] -- 0:05:38
80000 -- (-753.339) (-705.898) (-748.069) [-714.088] * (-709.096) (-749.403) (-744.676) [-707.430] -- 0:05:45
Average standard deviation of split frequencies: 0.027455
81000 -- (-754.808) (-710.485) (-743.333) [-713.203] * (-713.290) (-749.832) (-746.149) [-710.012] -- 0:05:40
82000 -- (-747.561) (-721.293) (-750.831) [-706.727] * (-723.479) (-742.555) (-748.280) [-708.598] -- 0:05:35
83000 -- (-752.314) (-717.124) (-744.584) [-712.933] * (-718.136) (-751.884) (-756.662) [-708.047] -- 0:05:42
84000 -- (-758.839) (-713.594) (-745.248) [-710.998] * (-707.425) (-747.715) (-744.099) [-712.349] -- 0:05:38
85000 -- (-749.976) [-711.413] (-744.408) (-725.914) * [-708.010] (-740.529) (-746.148) (-709.962) -- 0:05:44
Average standard deviation of split frequencies: 0.028155
86000 -- (-752.210) (-712.028) (-747.263) [-714.372] * (-713.028) (-746.256) (-764.770) [-706.432] -- 0:05:40
87000 -- (-748.991) (-709.681) (-747.122) [-703.572] * (-703.685) (-761.182) (-761.773) [-705.712] -- 0:05:35
88000 -- (-741.486) [-699.402] (-747.965) (-706.689) * (-709.118) (-748.470) (-754.062) [-705.927] -- 0:05:42
89000 -- (-758.409) [-709.920] (-750.677) (-720.254) * (-715.199) (-755.356) (-751.696) [-716.884] -- 0:05:37
90000 -- (-745.120) (-717.154) (-764.463) [-701.326] * (-714.234) (-753.028) (-757.176) [-712.864] -- 0:05:33
Average standard deviation of split frequencies: 0.026423
91000 -- (-740.478) [-704.477] (-754.569) (-707.233) * (-706.353) (-745.740) (-747.673) [-721.228] -- 0:05:39
92000 -- (-749.010) (-710.888) (-753.083) [-713.061] * (-722.499) (-747.358) (-751.566) [-705.482] -- 0:05:35
93000 -- (-739.774) (-722.210) (-753.861) [-704.228] * (-708.612) (-750.344) (-751.558) [-705.821] -- 0:05:31
94000 -- (-753.304) (-716.501) (-749.768) [-708.272] * (-714.908) (-744.166) (-751.971) [-708.364] -- 0:05:37
95000 -- (-744.780) (-715.749) (-745.357) [-706.309] * (-716.546) (-742.048) (-748.509) [-711.630] -- 0:05:33
Average standard deviation of split frequencies: 0.025967
96000 -- (-755.030) (-708.156) (-749.566) [-711.958] * (-712.621) (-747.145) (-748.762) [-714.352] -- 0:05:39
97000 -- (-748.442) [-709.872] (-756.010) (-713.324) * (-710.698) (-741.269) (-752.678) [-713.118] -- 0:05:35
98000 -- (-745.296) (-715.445) (-744.347) [-710.962] * (-713.991) (-753.684) (-739.069) [-707.805] -- 0:05:31
99000 -- (-754.270) (-718.228) (-755.557) [-707.350] * (-719.210) (-751.780) (-743.863) [-708.875] -- 0:05:36
100000 -- (-746.499) [-704.503] (-754.398) (-709.547) * (-719.030) (-754.741) (-749.184) [-706.274] -- 0:05:33
Average standard deviation of split frequencies: 0.025714
101000 -- (-745.820) [-707.385] (-751.128) (-706.956) * (-719.350) (-744.810) (-746.979) [-717.394] -- 0:05:29
102000 -- (-745.961) (-706.037) (-750.145) [-705.746] * (-708.360) (-738.190) (-744.140) [-717.986] -- 0:05:34
103000 -- (-753.907) (-713.801) (-755.549) [-698.396] * (-715.232) (-747.503) (-756.435) [-712.797] -- 0:05:30
104000 -- (-744.791) [-711.752] (-745.694) (-709.936) * (-716.221) (-747.344) (-755.138) [-711.270] -- 0:05:27
105000 -- (-750.341) [-709.406] (-761.110) (-707.183) * (-718.600) (-741.642) (-757.217) [-709.171] -- 0:05:32
Average standard deviation of split frequencies: 0.024707
106000 -- (-752.148) [-707.022] (-760.689) (-700.424) * (-718.904) (-733.736) (-746.925) [-708.933] -- 0:05:28
107000 -- (-755.265) [-704.724] (-745.833) (-713.218) * (-717.589) (-741.206) (-751.240) [-707.482] -- 0:05:33
108000 -- (-743.737) (-715.274) (-746.813) [-710.004] * (-722.938) (-744.896) (-752.697) [-705.137] -- 0:05:30
109000 -- (-756.473) [-704.247] (-754.336) (-709.403) * (-718.565) (-756.253) (-753.579) [-709.041] -- 0:05:26
110000 -- (-757.788) [-704.339] (-743.404) (-715.647) * (-709.973) (-746.508) (-739.003) [-704.773] -- 0:05:31
Average standard deviation of split frequencies: 0.027614
111000 -- (-750.104) [-708.243] (-768.301) (-712.314) * (-714.907) (-747.025) (-746.504) [-703.105] -- 0:05:28
112000 -- (-746.221) [-703.074] (-748.474) (-722.315) * (-714.060) (-745.797) (-749.611) [-706.783] -- 0:05:25
113000 -- (-753.502) [-704.468] (-747.549) (-729.685) * (-720.832) (-743.170) (-746.465) [-710.564] -- 0:05:29
114000 -- (-759.480) (-704.061) (-756.739) [-716.912] * (-722.131) (-766.925) (-741.683) [-706.297] -- 0:05:26
115000 -- (-757.057) [-716.390] (-741.114) (-709.444) * (-711.644) (-746.850) (-738.900) [-714.499] -- 0:05:23
Average standard deviation of split frequencies: 0.026345
116000 -- (-749.704) [-704.455] (-754.360) (-713.459) * (-719.888) (-748.649) (-746.723) [-713.523] -- 0:05:27
117000 -- (-755.434) (-708.681) (-751.710) [-708.096] * [-710.234] (-757.773) (-761.089) (-708.513) -- 0:05:24
118000 -- (-760.090) [-710.715] (-744.913) (-705.760) * (-717.458) (-757.923) (-758.952) [-704.913] -- 0:05:28
119000 -- (-754.472) [-710.146] (-749.649) (-713.841) * [-703.097] (-750.318) (-741.411) (-712.030) -- 0:05:25
120000 -- (-746.495) [-704.089] (-748.239) (-709.657) * [-707.683] (-745.017) (-754.067) (-708.564) -- 0:05:22
Average standard deviation of split frequencies: 0.026044
121000 -- (-760.222) [-711.367] (-751.527) (-719.363) * [-698.952] (-745.096) (-746.843) (-723.013) -- 0:05:26
122000 -- (-749.354) [-708.129] (-761.637) (-721.020) * [-709.068] (-741.397) (-750.032) (-720.279) -- 0:05:23
123000 -- (-755.405) (-709.508) (-761.689) [-717.710] * [-709.875] (-744.571) (-746.399) (-714.475) -- 0:05:20
124000 -- (-745.090) (-712.723) (-748.251) [-705.156] * [-709.298] (-744.988) (-750.077) (-708.246) -- 0:05:24
125000 -- (-751.058) (-712.312) (-752.365) [-714.150] * (-718.533) (-740.005) (-750.624) [-712.708] -- 0:05:22
Average standard deviation of split frequencies: 0.024189
126000 -- (-761.516) (-715.239) (-752.850) [-709.049] * [-704.428] (-747.865) (-751.576) (-717.696) -- 0:05:26
127000 -- (-749.335) (-719.993) (-747.786) [-706.440] * (-713.008) (-749.502) (-746.018) [-707.984] -- 0:05:23
128000 -- (-749.172) (-712.375) (-744.734) [-703.980] * [-702.813] (-754.224) (-751.773) (-725.414) -- 0:05:20
129000 -- (-751.367) [-713.241] (-742.370) (-708.807) * [-708.574] (-752.530) (-746.667) (-712.123) -- 0:05:24
130000 -- (-744.538) [-702.894] (-750.997) (-711.924) * [-712.343] (-741.849) (-753.554) (-712.002) -- 0:05:21
Average standard deviation of split frequencies: 0.023892
131000 -- (-753.341) [-714.081] (-735.561) (-711.670) * [-716.818] (-748.633) (-745.815) (-709.700) -- 0:05:18
132000 -- (-756.911) (-713.974) (-743.787) [-714.202] * [-714.535] (-752.240) (-749.587) (-714.489) -- 0:05:22
133000 -- (-763.687) [-709.594] (-745.350) (-711.838) * [-713.727] (-744.734) (-756.755) (-732.593) -- 0:05:19
134000 -- (-753.280) [-700.644] (-745.902) (-713.272) * [-720.402] (-746.957) (-742.809) (-722.420) -- 0:05:16
135000 -- (-755.724) [-699.993] (-748.280) (-711.280) * (-715.333) (-753.378) (-744.886) [-709.392] -- 0:05:20
Average standard deviation of split frequencies: 0.025234
136000 -- (-746.617) [-702.394] (-748.108) (-708.927) * [-710.183] (-741.722) (-741.021) (-711.479) -- 0:05:17
137000 -- (-756.530) [-705.072] (-748.862) (-721.186) * [-711.414] (-750.691) (-748.685) (-723.301) -- 0:05:21
138000 -- (-743.563) [-705.233] (-755.637) (-709.857) * [-706.211] (-755.765) (-750.637) (-709.503) -- 0:05:18
139000 -- (-749.859) (-709.803) (-761.537) [-709.633] * [-708.514] (-744.661) (-749.538) (-710.453) -- 0:05:15
140000 -- (-758.873) (-712.941) (-754.332) [-713.156] * [-706.959] (-752.365) (-750.892) (-715.190) -- 0:05:19
Average standard deviation of split frequencies: 0.022234
141000 -- (-749.182) (-716.412) (-750.457) [-718.322] * [-709.446] (-751.076) (-750.889) (-721.991) -- 0:05:16
142000 -- (-743.500) (-700.576) (-740.876) [-718.752] * [-709.954] (-745.867) (-751.446) (-709.849) -- 0:05:14
143000 -- (-745.761) (-717.818) (-751.330) [-713.184] * [-721.228] (-750.681) (-753.883) (-717.629) -- 0:05:17
144000 -- (-746.455) (-714.794) (-750.307) [-715.097] * [-705.163] (-752.717) (-760.027) (-713.008) -- 0:05:15
145000 -- (-743.845) [-704.813] (-746.818) (-709.246) * [-708.386] (-750.779) (-751.514) (-713.584) -- 0:05:18
Average standard deviation of split frequencies: 0.021838
146000 -- (-763.855) (-725.492) (-748.686) [-714.869] * [-714.802] (-749.495) (-756.114) (-711.032) -- 0:05:15
147000 -- (-746.642) (-710.128) (-741.334) [-719.226] * [-714.171] (-736.885) (-749.814) (-709.388) -- 0:05:13
148000 -- (-764.719) [-710.003] (-748.982) (-705.142) * [-709.779] (-749.449) (-743.336) (-724.706) -- 0:05:16
149000 -- (-753.076) [-709.026] (-745.585) (-719.928) * [-708.072] (-743.650) (-744.650) (-708.073) -- 0:05:14
150000 -- (-756.087) (-711.710) (-744.001) [-708.853] * [-715.439] (-748.716) (-740.721) (-710.336) -- 0:05:11
Average standard deviation of split frequencies: 0.021902
151000 -- (-763.648) (-713.210) (-744.674) [-712.831] * (-716.249) (-744.689) (-756.054) [-706.767] -- 0:05:14
152000 -- (-745.155) [-700.167] (-750.045) (-701.686) * (-711.766) (-754.199) (-740.902) [-710.603] -- 0:05:12
153000 -- (-749.555) (-712.770) (-750.623) [-706.065] * (-711.610) (-754.545) (-742.610) [-712.146] -- 0:05:10
154000 -- (-755.612) (-703.903) (-748.071) [-703.350] * [-707.516] (-741.804) (-738.953) (-719.329) -- 0:05:13
155000 -- (-754.927) [-703.509] (-739.517) (-707.551) * (-710.447) (-752.169) (-747.206) [-706.421] -- 0:05:10
Average standard deviation of split frequencies: 0.020125
156000 -- (-744.768) (-704.603) (-752.083) [-706.838] * [-714.041] (-744.110) (-747.428) (-713.183) -- 0:05:13
157000 -- (-742.658) (-708.811) (-750.185) [-712.876] * (-714.822) (-757.056) (-748.515) [-710.962] -- 0:05:11
158000 -- (-757.802) (-711.171) (-746.547) [-708.647] * (-715.949) (-738.427) (-746.888) [-706.014] -- 0:05:09
159000 -- (-749.265) (-714.716) (-743.227) [-709.599] * (-714.092) (-749.405) (-750.474) [-703.429] -- 0:05:12
160000 -- (-754.581) (-713.944) (-749.058) [-710.643] * (-713.099) (-764.967) (-750.128) [-705.385] -- 0:05:09
Average standard deviation of split frequencies: 0.019848
161000 -- (-760.168) (-717.051) (-750.284) [-705.097] * (-715.966) (-747.150) (-747.156) [-711.736] -- 0:05:07
162000 -- (-756.212) (-717.606) (-752.208) [-709.771] * [-708.501] (-757.604) (-752.215) (-710.079) -- 0:05:10
163000 -- (-745.727) (-714.539) (-753.797) [-705.713] * (-718.890) (-746.279) (-753.367) [-704.049] -- 0:05:08
164000 -- (-743.360) (-727.270) (-749.322) [-697.920] * [-718.300] (-750.163) (-759.960) (-725.408) -- 0:05:10
165000 -- (-752.710) (-712.290) (-754.241) [-707.192] * [-712.357] (-741.683) (-754.201) (-707.566) -- 0:05:08
Average standard deviation of split frequencies: 0.019986
166000 -- (-755.635) (-712.690) (-752.977) [-720.088] * [-706.822] (-752.858) (-760.696) (-707.068) -- 0:05:06
167000 -- (-751.637) (-704.903) (-749.512) [-702.524] * [-712.362] (-749.872) (-745.926) (-711.339) -- 0:05:09
168000 -- (-752.623) (-709.950) (-742.953) [-705.920] * [-720.523] (-750.574) (-744.808) (-702.933) -- 0:05:07
169000 -- (-747.587) (-716.499) (-745.146) [-709.502] * [-715.736] (-748.862) (-748.962) (-716.935) -- 0:05:04
170000 -- (-753.950) (-720.809) (-759.144) [-709.676] * (-723.393) (-746.701) (-746.708) [-705.184] -- 0:05:07
Average standard deviation of split frequencies: 0.019497
171000 -- (-757.949) [-713.189] (-754.252) (-715.894) * (-707.124) (-754.443) (-752.507) [-707.355] -- 0:05:05
172000 -- (-750.018) [-712.838] (-750.914) (-714.038) * (-719.271) (-763.164) (-750.922) [-705.463] -- 0:05:08
173000 -- (-748.364) [-715.145] (-749.675) (-712.529) * (-716.917) (-756.479) (-745.960) [-704.736] -- 0:05:05
174000 -- (-740.505) [-714.451] (-753.974) (-716.018) * (-716.037) (-753.399) (-743.632) [-705.597] -- 0:05:03
175000 -- (-753.593) [-706.518] (-741.930) (-709.294) * (-711.254) (-752.642) (-749.498) [-704.452] -- 0:05:06
Average standard deviation of split frequencies: 0.018959
176000 -- (-755.984) [-707.489] (-752.968) (-712.831) * [-704.139] (-746.038) (-745.137) (-703.723) -- 0:05:04
177000 -- (-758.533) [-705.393] (-748.674) (-713.169) * [-706.784] (-744.813) (-745.995) (-717.103) -- 0:05:02
178000 -- (-750.389) [-719.930] (-748.521) (-720.563) * [-704.734] (-761.116) (-749.115) (-702.030) -- 0:05:04
179000 -- (-751.882) [-704.457] (-748.701) (-719.905) * [-709.509] (-748.842) (-755.799) (-705.046) -- 0:05:02
180000 -- (-751.563) [-707.818] (-758.983) (-717.299) * [-704.447] (-750.222) (-746.507) (-709.323) -- 0:05:00
Average standard deviation of split frequencies: 0.017573
181000 -- (-753.401) [-717.537] (-746.999) (-718.957) * [-709.627] (-736.946) (-741.318) (-709.309) -- 0:05:03
182000 -- (-744.693) [-710.371] (-748.049) (-722.603) * [-708.831] (-747.261) (-745.571) (-708.971) -- 0:05:01
183000 -- (-745.969) [-709.911] (-766.371) (-722.053) * [-714.495] (-745.276) (-758.240) (-716.639) -- 0:05:03
184000 -- (-753.828) [-707.336] (-749.415) (-712.746) * [-702.618] (-744.294) (-751.457) (-712.172) -- 0:05:01
185000 -- (-742.632) (-715.391) (-743.071) [-706.437] * [-705.905] (-757.059) (-743.162) (-712.667) -- 0:04:59
Average standard deviation of split frequencies: 0.016747
186000 -- (-749.660) [-708.240] (-740.900) (-714.001) * [-704.040] (-741.307) (-747.487) (-708.155) -- 0:05:01
187000 -- (-746.286) (-720.718) (-745.058) [-706.443] * [-704.457] (-756.991) (-741.158) (-721.455) -- 0:04:59
188000 -- (-751.389) (-718.244) (-772.395) [-711.316] * [-707.006] (-756.477) (-742.459) (-710.521) -- 0:04:58
189000 -- (-747.326) [-705.810] (-749.925) (-715.734) * [-711.577] (-752.015) (-744.647) (-713.047) -- 0:05:00
190000 -- (-749.311) (-715.659) (-751.589) [-715.726] * [-712.469] (-753.704) (-744.679) (-707.902) -- 0:04:58
Average standard deviation of split frequencies: 0.017010
191000 -- (-743.738) (-713.541) (-750.861) [-711.249] * [-712.621] (-761.025) (-749.332) (-714.303) -- 0:05:00
192000 -- (-750.512) (-712.104) (-745.999) [-713.206] * [-710.896] (-750.597) (-739.927) (-715.079) -- 0:04:58
193000 -- (-747.238) [-719.642] (-752.927) (-721.547) * [-714.127] (-744.867) (-748.710) (-705.821) -- 0:04:56
194000 -- (-749.351) [-718.246] (-750.773) (-721.246) * [-707.373] (-742.535) (-749.780) (-704.127) -- 0:04:59
195000 -- (-748.141) (-717.430) (-751.037) [-703.691] * (-715.081) (-762.377) (-745.090) [-714.241] -- 0:04:57
Average standard deviation of split frequencies: 0.016590
196000 -- (-748.301) (-721.832) (-758.688) [-708.366] * (-720.715) (-751.126) (-737.619) [-704.627] -- 0:04:55
197000 -- (-740.478) (-715.765) (-746.913) [-711.442] * (-707.548) (-752.339) (-740.619) [-707.443] -- 0:04:57
198000 -- (-751.170) (-722.940) (-745.659) [-699.523] * (-719.148) (-743.338) (-747.449) [-709.493] -- 0:04:55
199000 -- (-758.657) (-707.126) (-741.740) [-712.410] * (-712.143) (-741.711) (-746.579) [-707.263] -- 0:04:57
200000 -- (-753.967) (-712.263) (-742.394) [-703.676] * (-712.780) (-748.823) (-751.896) [-713.406] -- 0:04:56
Average standard deviation of split frequencies: 0.016780
201000 -- (-745.265) [-707.401] (-747.975) (-713.867) * (-713.183) (-755.355) (-740.719) [-712.905] -- 0:04:54
202000 -- (-751.424) (-720.611) (-742.496) [-709.001] * [-710.503] (-752.482) (-747.762) (-716.628) -- 0:04:56
203000 -- (-766.367) (-709.653) (-744.239) [-713.152] * [-716.668] (-749.443) (-750.993) (-713.655) -- 0:04:54
204000 -- (-745.469) [-721.934] (-754.717) (-719.714) * [-710.252] (-748.899) (-750.293) (-713.397) -- 0:04:52
205000 -- (-741.579) (-716.936) (-751.750) [-715.138] * [-708.271] (-747.649) (-754.541) (-714.428) -- 0:04:54
Average standard deviation of split frequencies: 0.016467
206000 -- (-740.926) (-713.588) (-758.419) [-716.344] * (-707.828) (-740.035) (-753.068) [-706.756] -- 0:04:52
207000 -- (-743.673) [-711.236] (-748.584) (-714.982) * (-715.684) (-755.854) (-746.837) [-712.355] -- 0:04:51
208000 -- (-759.133) (-718.064) (-754.535) [-720.468] * (-704.393) (-745.512) (-744.024) [-707.922] -- 0:04:53
209000 -- (-756.512) [-714.159] (-751.928) (-715.528) * (-719.444) (-749.966) (-743.879) [-704.357] -- 0:04:51
210000 -- (-747.005) [-705.189] (-745.387) (-705.020) * (-719.790) (-753.074) (-744.480) [-705.447] -- 0:04:53
Average standard deviation of split frequencies: 0.016761
211000 -- (-745.598) (-711.628) (-750.609) [-711.115] * [-715.955] (-746.333) (-747.200) (-717.542) -- 0:04:51
212000 -- (-746.691) (-717.645) (-750.187) [-705.851] * [-709.287] (-743.387) (-744.067) (-706.923) -- 0:04:49
213000 -- (-746.033) (-733.238) (-755.369) [-707.277] * [-708.140] (-746.178) (-755.757) (-720.602) -- 0:04:51
214000 -- (-752.653) (-731.767) (-747.930) [-702.546] * (-705.115) (-742.801) (-750.674) [-705.463] -- 0:04:50
215000 -- (-752.862) [-708.430] (-749.640) (-707.801) * (-709.380) (-750.095) (-747.011) [-703.979] -- 0:04:48
Average standard deviation of split frequencies: 0.017103
216000 -- (-748.596) [-716.322] (-749.316) (-706.532) * (-706.782) (-744.312) (-749.989) [-703.168] -- 0:04:50
217000 -- (-744.600) (-722.275) (-744.716) [-714.777] * (-716.126) (-750.720) (-751.661) [-716.669] -- 0:04:48
218000 -- (-742.242) (-717.259) (-746.204) [-704.401] * (-710.751) (-744.790) (-752.894) [-706.114] -- 0:04:50
219000 -- (-753.843) [-716.640] (-742.351) (-707.305) * (-714.011) (-749.337) (-752.544) [-704.932] -- 0:04:48
220000 -- (-746.334) (-718.329) (-747.126) [-704.889] * (-709.819) (-746.595) (-753.931) [-703.574] -- 0:04:47
Average standard deviation of split frequencies: 0.016957
221000 -- (-743.403) [-710.642] (-746.702) (-707.720) * (-719.612) (-744.455) (-741.931) [-709.737] -- 0:04:49
222000 -- (-743.113) [-708.344] (-740.706) (-709.441) * (-713.412) (-748.189) (-741.966) [-705.403] -- 0:04:47
223000 -- (-747.665) [-713.938] (-748.952) (-710.692) * [-714.108] (-756.877) (-737.901) (-706.049) -- 0:04:45
224000 -- (-752.364) (-704.834) (-751.519) [-703.214] * (-723.055) (-752.883) (-748.799) [-709.731] -- 0:04:47
225000 -- (-745.421) (-712.139) (-756.869) [-709.664] * (-717.186) (-749.493) (-749.779) [-708.540] -- 0:04:45
Average standard deviation of split frequencies: 0.017686
226000 -- (-749.114) [-709.226] (-742.703) (-707.149) * (-720.851) (-759.223) (-757.968) [-705.815] -- 0:04:47
227000 -- (-748.298) [-715.881] (-752.141) (-716.389) * (-729.269) (-756.907) (-754.104) [-715.627] -- 0:04:46
228000 -- (-745.521) [-708.924] (-745.015) (-702.016) * [-726.705] (-752.233) (-748.491) (-702.414) -- 0:04:44
229000 -- (-761.083) [-703.782] (-744.902) (-709.671) * [-706.473] (-748.021) (-747.697) (-710.924) -- 0:04:46
230000 -- (-757.593) (-719.393) (-741.108) [-705.376] * (-708.889) (-745.668) (-750.900) [-712.131] -- 0:04:44
Average standard deviation of split frequencies: 0.017499
231000 -- (-750.686) [-709.444] (-744.214) (-711.517) * (-712.684) (-756.235) (-750.399) [-707.111] -- 0:04:42
232000 -- (-759.126) (-708.811) (-740.904) [-707.747] * [-712.017] (-744.558) (-752.658) (-712.401) -- 0:04:44
233000 -- (-760.836) (-703.785) (-749.291) [-713.452] * [-708.123] (-756.980) (-748.931) (-721.957) -- 0:04:43
234000 -- (-748.429) [-714.058] (-744.035) (-722.458) * [-705.239] (-746.335) (-748.925) (-710.264) -- 0:04:41
235000 -- (-760.246) [-708.649] (-743.712) (-712.227) * (-706.093) (-746.793) (-747.016) [-705.967] -- 0:04:43
Average standard deviation of split frequencies: 0.017311
236000 -- (-760.715) [-707.966] (-751.401) (-712.013) * (-708.127) (-757.291) (-744.811) [-710.012] -- 0:04:41
237000 -- (-748.421) (-705.319) (-740.754) [-707.337] * (-708.126) (-750.630) (-748.846) [-713.593] -- 0:04:43
238000 -- (-750.196) [-712.274] (-742.282) (-710.861) * (-715.274) (-761.010) (-738.035) [-700.641] -- 0:04:41
239000 -- (-744.553) [-702.888] (-746.131) (-719.456) * (-716.022) (-761.226) (-749.268) [-702.325] -- 0:04:40
240000 -- (-748.450) (-710.423) (-742.584) [-706.360] * (-716.135) (-753.331) (-755.747) [-713.186] -- 0:04:41
Average standard deviation of split frequencies: 0.016438
241000 -- (-748.196) [-714.086] (-754.402) (-708.326) * (-719.973) (-740.872) (-742.148) [-714.454] -- 0:04:40
242000 -- (-743.559) (-706.530) (-744.629) [-711.156] * (-706.939) (-759.183) (-743.137) [-709.657] -- 0:04:38
243000 -- (-763.786) [-704.736] (-747.100) (-718.547) * (-707.306) (-762.659) (-748.549) [-714.046] -- 0:04:40
244000 -- (-746.007) [-701.766] (-747.240) (-721.016) * (-707.332) (-758.251) (-745.145) [-704.455] -- 0:04:38
245000 -- (-757.332) (-706.028) (-747.267) [-705.500] * [-706.291] (-737.617) (-750.317) (-716.558) -- 0:04:40
Average standard deviation of split frequencies: 0.015945
246000 -- (-753.928) (-708.639) (-756.338) [-707.981] * [-713.384] (-751.250) (-753.865) (-721.216) -- 0:04:38
247000 -- (-748.735) (-716.387) (-747.233) [-702.488] * (-709.064) (-751.699) (-749.286) [-710.576] -- 0:04:37
248000 -- (-738.879) (-714.605) (-756.085) [-710.327] * [-703.003] (-752.278) (-746.015) (-713.535) -- 0:04:38
249000 -- (-756.070) [-703.671] (-746.569) (-702.616) * [-715.133] (-736.277) (-742.597) (-710.862) -- 0:04:37
250000 -- (-752.008) [-709.548] (-746.983) (-715.595) * (-706.980) (-745.624) (-757.372) [-704.530] -- 0:04:36
Average standard deviation of split frequencies: 0.015913
251000 -- (-754.233) (-723.752) (-744.891) [-705.221] * [-707.250] (-741.993) (-752.236) (-717.077) -- 0:04:37
252000 -- (-750.685) (-716.382) (-738.016) [-712.084] * [-713.730] (-749.954) (-757.349) (-714.747) -- 0:04:36
253000 -- (-744.449) (-718.818) (-745.398) [-715.191] * [-709.532] (-758.643) (-755.688) (-708.666) -- 0:04:34
254000 -- (-755.056) (-712.171) (-748.835) [-706.207] * [-707.455] (-753.153) (-744.184) (-709.990) -- 0:04:36
255000 -- (-744.329) (-705.959) (-747.668) [-703.597] * (-716.462) (-749.568) (-751.989) [-709.687] -- 0:04:34
Average standard deviation of split frequencies: 0.015510
256000 -- (-746.824) (-712.635) (-748.634) [-711.983] * [-710.645] (-759.031) (-744.772) (-707.516) -- 0:04:36
257000 -- (-755.074) (-705.919) (-744.265) [-701.140] * (-714.549) (-766.576) (-741.829) [-707.778] -- 0:04:34
258000 -- (-742.566) (-713.786) (-754.260) [-704.945] * [-707.943] (-761.060) (-742.462) (-715.509) -- 0:04:33
259000 -- (-751.278) (-714.258) (-754.840) [-707.316] * (-705.319) (-757.356) (-755.333) [-707.412] -- 0:04:34
260000 -- (-742.094) (-708.637) (-745.947) [-707.025] * (-713.968) (-735.238) (-751.702) [-700.891] -- 0:04:33
Average standard deviation of split frequencies: 0.014398
261000 -- (-750.802) (-711.291) (-748.815) [-710.777] * (-725.913) (-744.268) (-748.860) [-710.529] -- 0:04:31
262000 -- (-756.775) [-703.492] (-749.969) (-712.654) * (-709.853) (-741.494) (-749.950) [-703.259] -- 0:04:33
263000 -- (-750.275) [-699.913] (-747.812) (-703.644) * (-711.166) (-749.329) (-744.177) [-706.069] -- 0:04:31
264000 -- (-752.542) (-701.764) (-756.240) [-698.958] * [-705.498] (-752.792) (-736.186) (-713.692) -- 0:04:33
265000 -- (-750.133) [-704.773] (-752.518) (-720.234) * (-712.810) (-758.125) (-756.660) [-703.991] -- 0:04:31
Average standard deviation of split frequencies: 0.014109
266000 -- (-745.217) [-701.694] (-745.996) (-713.300) * (-716.466) (-750.264) (-749.862) [-704.162] -- 0:04:30
267000 -- (-753.573) [-705.547] (-744.763) (-708.752) * [-710.951] (-753.176) (-749.546) (-708.268) -- 0:04:31
268000 -- (-748.558) (-703.889) (-751.273) [-709.014] * (-718.075) (-751.547) (-745.413) [-712.644] -- 0:04:30
269000 -- (-745.784) (-704.088) (-760.000) [-713.155] * (-713.568) (-751.756) (-749.669) [-706.715] -- 0:04:29
270000 -- (-748.273) (-711.786) (-751.558) [-709.731] * (-720.718) (-762.265) (-746.627) [-702.080] -- 0:04:30
Average standard deviation of split frequencies: 0.014034
271000 -- (-744.915) [-712.281] (-746.158) (-708.186) * (-712.035) (-759.944) (-744.532) [-705.857] -- 0:04:29
272000 -- (-743.733) [-704.046] (-746.011) (-713.621) * (-711.717) (-756.118) (-751.771) [-718.673] -- 0:04:27
273000 -- (-750.533) [-704.649] (-743.443) (-715.965) * (-705.885) (-747.630) (-748.216) [-702.328] -- 0:04:28
274000 -- (-750.638) [-703.844] (-750.888) (-712.873) * [-710.313] (-750.083) (-742.553) (-709.272) -- 0:04:27
275000 -- (-756.587) (-712.643) (-750.597) [-709.824] * (-705.375) (-755.413) (-748.740) [-709.858] -- 0:04:28
Average standard deviation of split frequencies: 0.014058
276000 -- (-746.804) [-713.025] (-748.034) (-708.248) * (-706.230) (-760.091) (-759.469) [-706.519] -- 0:04:27
277000 -- (-754.409) (-718.895) (-741.930) [-705.934] * (-706.090) (-752.537) (-748.432) [-707.803] -- 0:04:26
278000 -- (-757.197) (-710.419) (-757.576) [-710.940] * (-711.040) (-744.408) (-748.516) [-709.312] -- 0:04:27
279000 -- (-747.713) (-712.766) (-739.902) [-708.267] * [-712.084] (-741.181) (-748.831) (-710.572) -- 0:04:26
280000 -- (-748.971) [-705.570] (-742.978) (-717.239) * (-719.151) (-753.313) (-749.627) [-724.429] -- 0:04:24
Average standard deviation of split frequencies: 0.014157
281000 -- (-744.700) (-708.897) (-750.181) [-706.953] * [-718.049] (-761.226) (-741.732) (-708.999) -- 0:04:26
282000 -- (-748.717) (-713.722) (-755.836) [-703.360] * (-720.608) (-749.745) (-743.827) [-713.517] -- 0:04:24
283000 -- (-741.535) (-715.447) (-747.058) [-716.905] * (-707.926) (-761.239) (-751.456) [-708.847] -- 0:04:23
284000 -- (-752.593) (-710.294) (-747.416) [-712.017] * (-714.888) (-750.028) (-744.309) [-711.341] -- 0:04:24
285000 -- (-747.905) (-717.313) (-761.485) [-713.671] * (-708.091) (-753.450) (-747.755) [-716.879] -- 0:04:23
Average standard deviation of split frequencies: 0.013644
286000 -- (-750.464) (-715.847) (-744.223) [-711.412] * (-709.928) (-754.823) (-753.024) [-700.796] -- 0:04:24
287000 -- (-750.455) [-716.752] (-749.005) (-710.058) * [-706.126] (-742.546) (-755.426) (-724.116) -- 0:04:23
288000 -- (-740.926) [-708.241] (-757.153) (-715.869) * [-710.050] (-750.363) (-752.187) (-719.539) -- 0:04:22
289000 -- (-750.777) [-707.289] (-744.459) (-721.986) * (-716.384) (-742.569) (-744.755) [-702.123] -- 0:04:23
290000 -- (-746.234) (-704.919) (-746.082) [-711.488] * (-721.438) (-753.433) (-745.880) [-705.279] -- 0:04:21
Average standard deviation of split frequencies: 0.013674
291000 -- (-738.627) [-711.244] (-752.796) (-713.545) * (-702.562) (-746.826) (-764.540) [-705.185] -- 0:04:20
292000 -- (-751.872) [-712.337] (-747.304) (-725.546) * (-718.824) (-744.642) (-767.615) [-704.927] -- 0:04:21
293000 -- (-740.557) [-706.958] (-752.999) (-709.880) * [-704.514] (-749.960) (-742.586) (-708.366) -- 0:04:20
294000 -- (-745.937) [-708.897] (-746.553) (-708.961) * (-726.733) (-754.156) (-749.042) [-710.475] -- 0:04:19
295000 -- (-747.039) (-716.159) (-745.168) [-711.321] * [-725.231] (-760.944) (-748.317) (-714.053) -- 0:04:20
Average standard deviation of split frequencies: 0.013384
296000 -- (-751.688) [-714.253] (-745.835) (-720.315) * (-725.593) (-752.241) (-749.772) [-713.871] -- 0:04:19
297000 -- (-748.256) [-706.840] (-747.614) (-714.152) * (-703.686) (-749.301) (-747.506) [-715.367] -- 0:04:20
298000 -- (-756.911) (-709.832) (-746.390) [-712.908] * (-709.941) (-752.603) (-756.613) [-712.657] -- 0:04:19
299000 -- (-753.436) [-709.909] (-745.519) (-712.206) * (-707.403) (-754.687) (-755.588) [-714.469] -- 0:04:17
300000 -- (-750.031) [-706.008] (-749.228) (-714.836) * (-713.047) (-749.058) (-759.723) [-705.525] -- 0:04:19
Average standard deviation of split frequencies: 0.013937
301000 -- (-747.663) [-705.785] (-747.680) (-710.484) * (-705.515) (-756.373) (-749.420) [-707.554] -- 0:04:17
302000 -- (-749.280) [-710.061] (-742.861) (-721.379) * (-722.296) (-740.483) (-751.929) [-706.457] -- 0:04:16
303000 -- (-749.140) (-705.437) (-756.283) [-715.908] * [-706.699] (-741.922) (-741.916) (-717.079) -- 0:04:17
304000 -- (-745.202) (-718.953) (-742.406) [-712.754] * [-711.038] (-740.646) (-745.495) (-711.619) -- 0:04:16
305000 -- (-750.193) (-703.941) (-748.384) [-709.107] * [-708.207] (-749.233) (-735.303) (-716.970) -- 0:04:17
Average standard deviation of split frequencies: 0.013585
306000 -- (-755.184) [-701.889] (-751.897) (-707.358) * [-711.561] (-745.524) (-745.921) (-710.304) -- 0:04:16
307000 -- (-751.140) (-705.818) (-745.287) [-703.762] * (-716.810) (-752.527) (-741.533) [-709.005] -- 0:04:15
308000 -- (-751.108) [-709.090] (-748.103) (-711.618) * (-710.693) (-748.659) (-753.150) [-716.251] -- 0:04:16
309000 -- (-775.322) (-707.164) (-744.262) [-711.485] * (-722.011) (-741.383) (-752.011) [-711.666] -- 0:04:14
310000 -- (-753.476) (-707.561) (-748.143) [-701.777] * (-708.421) (-745.183) (-751.977) [-711.782] -- 0:04:13
Average standard deviation of split frequencies: 0.013873
311000 -- (-747.370) [-707.437] (-751.928) (-713.878) * (-715.459) (-745.567) (-759.169) [-703.336] -- 0:04:14
312000 -- (-749.426) [-713.403] (-755.146) (-716.703) * (-711.802) (-750.289) (-737.700) [-705.787] -- 0:04:13
313000 -- (-757.719) [-704.727] (-752.313) (-709.705) * (-718.921) (-756.181) (-746.273) [-702.854] -- 0:04:12
314000 -- (-743.104) (-706.812) (-760.763) [-707.699] * (-724.834) (-746.938) (-752.413) [-708.729] -- 0:04:13
315000 -- (-749.096) (-713.267) (-754.328) [-706.338] * (-712.928) (-748.135) (-744.073) [-704.061] -- 0:04:12
Average standard deviation of split frequencies: 0.014200
316000 -- (-747.756) [-705.022] (-742.953) (-714.503) * (-714.455) (-745.597) (-744.652) [-710.232] -- 0:04:13
317000 -- (-750.262) [-707.365] (-744.248) (-708.204) * [-709.815] (-759.004) (-749.351) (-708.767) -- 0:04:12
318000 -- (-752.279) [-704.302] (-750.721) (-708.855) * [-706.117] (-747.278) (-749.901) (-719.393) -- 0:04:10
319000 -- (-744.455) [-715.584] (-750.967) (-709.980) * [-706.677] (-759.415) (-756.946) (-715.404) -- 0:04:11
320000 -- (-756.304) [-709.283] (-743.338) (-707.035) * (-697.565) (-754.585) (-744.201) [-704.529] -- 0:04:10
Average standard deviation of split frequencies: 0.014211
321000 -- (-742.399) (-717.144) (-750.539) [-701.924] * (-706.282) (-752.196) (-748.068) [-708.735] -- 0:04:11
322000 -- (-743.881) (-718.162) (-744.542) [-704.937] * (-712.054) (-746.827) (-744.123) [-705.686] -- 0:04:10
323000 -- (-743.271) (-715.520) (-745.215) [-707.009] * (-715.332) (-742.575) (-748.068) [-704.467] -- 0:04:09
324000 -- (-747.165) (-720.583) (-743.053) [-717.316] * [-707.975] (-751.085) (-747.887) (-712.292) -- 0:04:10
325000 -- (-753.473) (-711.607) (-758.106) [-709.436] * [-701.393] (-759.510) (-739.675) (-707.883) -- 0:04:09
Average standard deviation of split frequencies: 0.013416
326000 -- (-749.888) (-720.928) (-749.557) [-718.354] * [-706.979] (-750.040) (-738.968) (-713.938) -- 0:04:08
327000 -- (-744.939) (-712.920) (-759.762) [-709.779] * [-712.034] (-756.187) (-749.520) (-713.756) -- 0:04:09
328000 -- (-747.294) [-708.216] (-753.954) (-700.827) * [-708.703] (-749.417) (-749.097) (-721.536) -- 0:04:07
329000 -- (-745.875) (-703.402) (-743.579) [-705.502] * [-711.129] (-748.205) (-745.678) (-728.332) -- 0:04:06
330000 -- (-741.471) (-707.609) (-759.142) [-708.348] * [-715.306] (-747.782) (-749.385) (-704.763) -- 0:04:07
Average standard deviation of split frequencies: 0.012197
331000 -- (-749.569) (-723.241) (-747.284) [-706.528] * [-708.606] (-756.702) (-756.712) (-707.549) -- 0:04:06
332000 -- (-754.775) (-717.510) (-756.549) [-701.196] * [-710.512] (-753.468) (-744.385) (-706.519) -- 0:04:07
333000 -- (-748.925) (-709.129) (-761.214) [-707.994] * (-709.972) (-759.091) (-741.944) [-711.806] -- 0:04:06
334000 -- (-748.951) (-716.878) (-750.020) [-708.414] * [-712.576] (-748.553) (-747.142) (-709.225) -- 0:04:05
335000 -- (-751.234) (-714.476) (-752.813) [-704.210] * (-712.503) (-757.860) (-748.980) [-707.604] -- 0:04:06
Average standard deviation of split frequencies: 0.011806
336000 -- (-752.808) (-722.063) (-749.483) [-704.347] * [-702.729] (-750.492) (-755.479) (-713.206) -- 0:04:05
337000 -- (-751.075) (-722.470) (-750.337) [-706.527] * (-707.657) (-751.383) (-748.415) [-712.303] -- 0:04:03
338000 -- (-761.110) (-711.751) (-745.968) [-711.227] * [-697.712] (-746.585) (-744.714) (-715.703) -- 0:04:04
339000 -- (-747.336) (-713.420) (-753.046) [-717.489] * [-707.327] (-746.265) (-747.002) (-715.681) -- 0:04:03
340000 -- (-746.042) (-704.078) (-749.500) [-723.154] * [-708.127] (-756.514) (-745.397) (-720.284) -- 0:04:04
Average standard deviation of split frequencies: 0.011890
341000 -- (-749.891) [-706.467] (-746.166) (-714.221) * (-712.888) (-756.119) (-749.939) [-723.947] -- 0:04:03
342000 -- (-752.924) [-708.328] (-741.015) (-711.445) * [-704.159] (-751.035) (-760.955) (-706.625) -- 0:04:02
343000 -- (-750.486) (-714.518) (-744.618) [-710.768] * [-705.673] (-770.278) (-747.239) (-707.639) -- 0:04:03
344000 -- (-747.465) [-708.092] (-755.638) (-716.911) * [-716.031] (-749.909) (-744.511) (-710.162) -- 0:04:02
345000 -- (-750.642) (-714.633) (-747.207) [-699.739] * [-714.187] (-763.742) (-751.131) (-715.414) -- 0:04:01
Average standard deviation of split frequencies: 0.011266
346000 -- (-757.328) (-714.748) (-750.351) [-707.672] * (-711.213) (-755.792) (-745.335) [-705.551] -- 0:04:01
347000 -- (-748.902) (-708.094) (-748.932) [-708.607] * [-709.979] (-754.611) (-754.114) (-714.507) -- 0:04:00
348000 -- (-741.030) [-711.422] (-750.488) (-719.549) * [-706.059] (-751.319) (-746.245) (-706.905) -- 0:03:59
349000 -- (-752.780) [-714.927] (-745.964) (-710.823) * [-715.219] (-748.664) (-753.551) (-707.728) -- 0:04:00
350000 -- (-745.905) (-720.790) (-742.829) [-706.734] * [-713.892] (-748.280) (-748.814) (-711.583) -- 0:03:59
Average standard deviation of split frequencies: 0.011617
351000 -- (-752.595) [-698.373] (-743.874) (-710.225) * (-718.068) (-749.773) (-749.678) [-704.927] -- 0:04:00
352000 -- (-746.413) [-703.350] (-749.301) (-710.814) * (-711.702) (-747.270) (-746.213) [-701.795] -- 0:03:59
353000 -- (-756.937) [-709.532] (-745.753) (-706.908) * (-719.220) (-755.008) (-748.821) [-706.307] -- 0:03:58
354000 -- (-755.525) (-713.392) (-743.365) [-712.588] * (-719.176) (-753.320) (-748.359) [-705.730] -- 0:03:59
355000 -- (-753.194) (-718.383) (-757.063) [-705.232] * (-711.706) (-758.826) (-748.112) [-709.738] -- 0:03:58
Average standard deviation of split frequencies: 0.011841
356000 -- (-750.927) [-706.811] (-764.841) (-712.468) * (-710.477) (-752.001) (-754.320) [-714.212] -- 0:03:56
357000 -- (-753.932) [-713.759] (-750.752) (-712.741) * (-716.340) (-739.981) (-748.336) [-714.028] -- 0:03:57
358000 -- (-760.416) [-707.850] (-753.148) (-711.667) * [-704.844] (-748.144) (-752.206) (-708.248) -- 0:03:56
359000 -- (-756.080) [-710.123] (-752.790) (-716.629) * [-711.792] (-754.704) (-746.006) (-713.992) -- 0:03:57
360000 -- (-755.265) (-712.992) (-759.595) [-711.332] * [-707.690] (-747.224) (-749.622) (-716.933) -- 0:03:56
Average standard deviation of split frequencies: 0.011714
361000 -- (-758.853) (-719.220) (-767.758) [-709.602] * [-709.989] (-750.332) (-743.835) (-715.595) -- 0:03:55
362000 -- (-755.591) (-717.853) (-751.780) [-713.335] * (-712.835) (-740.068) (-756.951) [-709.106] -- 0:03:56
363000 -- (-770.384) [-715.450] (-761.841) (-712.169) * (-713.570) (-758.258) (-741.305) [-712.288] -- 0:03:55
364000 -- (-764.684) (-728.179) (-752.782) [-711.446] * (-709.475) (-747.604) (-741.023) [-709.438] -- 0:03:54
365000 -- (-757.483) [-708.150] (-739.511) (-718.477) * (-718.515) (-745.865) (-750.044) [-720.944] -- 0:03:54
Average standard deviation of split frequencies: 0.010924
366000 -- (-755.879) (-709.551) (-745.676) [-713.349] * [-704.964] (-747.423) (-746.013) (-713.641) -- 0:03:53
367000 -- (-750.448) (-713.047) (-757.208) [-713.288] * (-722.160) (-742.801) (-750.484) [-715.577] -- 0:03:52
368000 -- (-744.182) [-709.323] (-761.399) (-710.156) * (-717.599) (-744.633) (-756.094) [-710.574] -- 0:03:53
369000 -- (-760.746) [-707.980] (-761.684) (-712.775) * (-723.511) (-755.458) (-752.114) [-710.994] -- 0:03:52
370000 -- (-755.125) [-704.143] (-754.094) (-712.885) * (-727.745) (-754.450) (-750.060) [-708.588] -- 0:03:53
Average standard deviation of split frequencies: 0.011079
371000 -- (-763.810) [-721.665] (-741.912) (-712.379) * (-709.307) (-745.740) (-754.053) [-708.339] -- 0:03:52
372000 -- (-753.066) [-706.588] (-744.863) (-712.933) * (-713.009) (-747.746) (-743.240) [-712.365] -- 0:03:51
373000 -- (-744.348) [-702.855] (-751.823) (-718.218) * [-714.489] (-765.201) (-758.575) (-726.330) -- 0:03:51
374000 -- (-746.615) [-702.853] (-748.134) (-720.365) * [-706.552] (-743.566) (-750.711) (-718.410) -- 0:03:50
375000 -- (-756.420) [-711.531] (-756.079) (-717.884) * (-709.782) (-748.471) (-745.749) [-708.499] -- 0:03:50
Average standard deviation of split frequencies: 0.010881
376000 -- (-757.583) (-715.079) (-746.472) [-705.356] * (-715.337) (-745.019) (-755.845) [-710.837] -- 0:03:50
377000 -- (-740.876) (-713.891) (-744.505) [-701.979] * (-713.872) (-738.715) (-755.175) [-713.600] -- 0:03:49
378000 -- (-741.474) (-707.762) (-752.484) [-709.779] * (-719.630) (-748.500) (-744.740) [-703.769] -- 0:03:50
379000 -- (-750.396) (-704.905) (-743.455) [-712.418] * [-704.021] (-747.994) (-749.698) (-712.362) -- 0:03:49
380000 -- (-746.112) [-712.351] (-748.663) (-715.284) * (-717.905) (-758.434) (-747.010) [-705.759] -- 0:03:48
Average standard deviation of split frequencies: 0.010611
381000 -- (-746.503) (-704.479) (-757.178) [-707.593] * (-718.196) (-765.465) (-750.780) [-719.495] -- 0:03:49
382000 -- (-741.564) [-707.367] (-753.287) (-724.760) * [-715.183] (-754.772) (-747.695) (-713.791) -- 0:03:48
383000 -- (-758.090) [-705.367] (-759.422) (-708.857) * [-719.662] (-747.211) (-760.325) (-717.971) -- 0:03:47
384000 -- (-746.196) [-701.753] (-746.619) (-711.842) * [-704.164] (-747.551) (-755.562) (-712.899) -- 0:03:47
385000 -- (-749.163) [-709.717] (-752.819) (-705.244) * (-717.834) (-748.401) (-764.419) [-720.200] -- 0:03:46
Average standard deviation of split frequencies: 0.010357
386000 -- (-761.377) [-707.291] (-756.231) (-710.236) * (-708.779) (-749.591) (-751.681) [-712.541] -- 0:03:47
387000 -- (-747.556) [-705.066] (-759.656) (-712.141) * [-712.696] (-744.127) (-747.375) (-702.412) -- 0:03:46
388000 -- (-749.388) [-703.221] (-751.988) (-714.827) * [-711.630] (-749.205) (-749.396) (-709.176) -- 0:03:45
389000 -- (-756.291) [-701.819] (-745.658) (-713.728) * [-710.178] (-758.252) (-751.146) (-706.940) -- 0:03:46
390000 -- (-743.356) (-711.774) (-751.529) [-712.407] * (-730.471) (-740.257) (-756.944) [-702.224] -- 0:03:45
Average standard deviation of split frequencies: 0.009795
391000 -- (-744.947) [-703.224] (-749.528) (-710.235) * (-729.817) (-755.046) (-745.371) [-714.382] -- 0:03:44
392000 -- (-755.085) [-713.066] (-753.629) (-713.928) * (-719.864) (-760.881) (-746.388) [-706.475] -- 0:03:44
393000 -- (-748.194) [-709.905] (-751.398) (-707.934) * (-707.577) (-745.585) (-750.170) [-707.093] -- 0:03:43
394000 -- (-753.356) (-712.703) (-746.128) [-712.980] * (-712.862) (-746.997) (-741.684) [-707.160] -- 0:03:44
395000 -- (-747.843) [-703.308] (-747.590) (-710.777) * [-707.386] (-750.205) (-752.191) (-712.296) -- 0:03:43
Average standard deviation of split frequencies: 0.009809
396000 -- (-755.490) [-710.979] (-749.112) (-711.001) * (-710.831) (-747.372) (-752.236) [-715.380] -- 0:03:42
397000 -- (-756.044) [-708.404] (-747.147) (-700.998) * [-707.898] (-739.707) (-752.759) (-707.777) -- 0:03:43
398000 -- (-751.271) [-706.327] (-757.087) (-713.973) * (-712.393) (-741.060) (-756.177) [-708.221] -- 0:03:42
399000 -- (-746.710) [-704.114] (-760.831) (-721.182) * (-722.544) (-750.365) (-741.164) [-707.292] -- 0:03:41
400000 -- (-741.996) [-703.769] (-748.577) (-707.748) * (-713.350) (-755.713) (-751.803) [-714.866] -- 0:03:42
Average standard deviation of split frequencies: 0.009320
401000 -- (-749.673) [-708.847] (-749.004) (-702.814) * (-705.097) (-749.407) (-747.439) [-715.407] -- 0:03:41
402000 -- (-749.498) [-711.705] (-750.690) (-710.654) * (-708.343) (-749.055) (-759.196) [-713.302] -- 0:03:40
403000 -- (-755.104) [-706.250] (-747.026) (-720.796) * [-711.469] (-741.007) (-750.592) (-722.211) -- 0:03:40
404000 -- (-754.791) [-709.678] (-756.750) (-711.123) * [-709.844] (-746.683) (-751.112) (-721.699) -- 0:03:39
405000 -- (-761.348) [-715.530] (-749.673) (-714.608) * (-711.772) (-741.572) (-765.076) [-714.210] -- 0:03:40
Average standard deviation of split frequencies: 0.009004
406000 -- (-752.749) (-707.252) (-757.818) [-712.769] * [-706.653] (-739.968) (-754.237) (-715.741) -- 0:03:39
407000 -- (-752.429) (-711.160) (-746.649) [-720.090] * [-708.453] (-744.849) (-739.615) (-723.379) -- 0:03:38
408000 -- (-752.225) (-719.746) (-739.583) [-702.369] * (-717.900) (-744.809) (-754.985) [-708.553] -- 0:03:39
409000 -- (-751.128) (-711.998) (-739.190) [-714.441] * (-720.115) (-748.379) (-752.410) [-709.782] -- 0:03:38
410000 -- (-749.017) (-715.065) (-749.178) [-710.194] * (-710.785) (-751.363) (-751.713) [-706.950] -- 0:03:37
Average standard deviation of split frequencies: 0.009053
411000 -- (-744.993) [-705.656] (-750.921) (-705.064) * [-704.972] (-749.365) (-748.691) (-706.014) -- 0:03:37
412000 -- (-743.532) (-711.844) (-747.545) [-717.467] * (-706.027) (-747.981) (-741.990) [-703.292] -- 0:03:36
413000 -- (-747.580) (-714.102) (-744.218) [-709.224] * [-705.304] (-754.408) (-751.251) (-715.159) -- 0:03:37
414000 -- (-745.935) (-714.534) (-761.980) [-711.632] * [-708.344] (-745.452) (-757.863) (-714.118) -- 0:03:36
415000 -- (-752.929) (-715.311) (-748.420) [-710.907] * [-717.060] (-755.041) (-753.611) (-713.947) -- 0:03:35
Average standard deviation of split frequencies: 0.009177
416000 -- (-762.854) (-712.493) (-755.018) [-706.179] * (-715.255) (-754.008) (-759.260) [-726.301] -- 0:03:36
417000 -- (-750.562) (-722.300) (-753.713) [-709.733] * (-712.866) (-751.574) (-756.198) [-705.664] -- 0:03:35
418000 -- (-742.734) (-717.835) (-755.571) [-704.869] * (-705.978) (-743.943) (-744.042) [-707.458] -- 0:03:34
419000 -- (-757.885) (-717.043) (-756.881) [-701.630] * (-729.361) (-748.510) (-750.461) [-708.481] -- 0:03:34
420000 -- (-746.644) [-707.963] (-749.580) (-705.635) * (-707.920) (-755.083) (-758.491) [-711.957] -- 0:03:34
Average standard deviation of split frequencies: 0.008853
421000 -- (-747.948) [-705.307] (-754.821) (-706.438) * (-707.744) (-752.892) (-741.061) [-716.915] -- 0:03:34
422000 -- (-755.603) [-711.547] (-758.359) (-710.828) * (-704.251) (-757.371) (-757.226) [-706.131] -- 0:03:33
423000 -- (-757.787) [-712.542] (-765.382) (-704.080) * (-706.766) (-737.991) (-747.821) [-706.453] -- 0:03:32
424000 -- (-746.344) [-710.899] (-750.204) (-707.603) * (-718.582) (-746.038) (-749.932) [-706.038] -- 0:03:33
425000 -- (-745.483) [-705.558] (-749.664) (-719.056) * (-707.791) (-750.367) (-751.433) [-707.717] -- 0:03:32
Average standard deviation of split frequencies: 0.008894
426000 -- (-740.689) [-710.514] (-744.007) (-712.622) * [-710.279] (-746.712) (-740.573) (-712.275) -- 0:03:31
427000 -- (-743.908) [-707.426] (-755.988) (-715.106) * (-711.000) (-745.667) (-757.830) [-704.198] -- 0:03:32
428000 -- (-743.097) [-709.246] (-746.073) (-706.154) * [-707.300] (-743.099) (-744.500) (-707.469) -- 0:03:31
429000 -- (-756.117) [-712.879] (-742.619) (-708.690) * (-719.736) (-745.058) (-752.091) [-705.051] -- 0:03:30
430000 -- (-743.313) [-704.323] (-743.055) (-706.704) * [-703.538] (-747.709) (-739.295) (-712.492) -- 0:03:30
Average standard deviation of split frequencies: 0.008504
431000 -- (-745.115) (-708.935) (-756.931) [-713.073] * [-708.678] (-744.366) (-748.363) (-708.752) -- 0:03:29
432000 -- (-748.866) (-713.537) (-749.210) [-711.263] * (-712.999) (-747.656) (-741.903) [-703.569] -- 0:03:30
433000 -- (-742.623) [-706.239] (-750.217) (-710.391) * (-704.045) (-747.795) (-754.794) [-703.579] -- 0:03:29
434000 -- (-760.476) [-706.087] (-747.915) (-714.345) * (-713.593) (-751.999) (-743.185) [-704.727] -- 0:03:28
435000 -- (-752.581) (-723.066) (-752.546) [-706.718] * (-713.225) (-760.525) (-741.547) [-706.343] -- 0:03:29
Average standard deviation of split frequencies: 0.008416
436000 -- (-742.554) [-705.706] (-746.713) (-716.485) * [-708.324] (-743.814) (-751.853) (-714.643) -- 0:03:28
437000 -- (-745.160) [-703.890] (-754.210) (-710.921) * [-706.954] (-748.151) (-741.388) (-715.585) -- 0:03:27
438000 -- (-748.611) (-708.763) (-745.868) [-712.493] * [-702.010] (-749.021) (-751.479) (-713.127) -- 0:03:27
439000 -- (-759.160) (-713.559) (-751.168) [-714.343] * (-713.902) (-772.459) (-747.290) [-712.689] -- 0:03:27
440000 -- (-744.632) (-714.047) (-754.268) [-709.060] * [-706.409] (-750.324) (-750.373) (-709.668) -- 0:03:27
Average standard deviation of split frequencies: 0.008558
441000 -- (-739.772) (-708.739) (-748.735) [-703.297] * (-702.319) (-738.400) (-749.460) [-705.318] -- 0:03:26
442000 -- (-733.088) (-704.758) (-748.729) [-708.000] * (-713.310) (-747.485) (-753.522) [-704.014] -- 0:03:25
443000 -- (-741.380) [-712.902] (-750.729) (-721.674) * [-716.684] (-744.650) (-757.051) (-709.976) -- 0:03:26
444000 -- (-746.453) (-718.801) (-753.425) [-708.260] * [-712.050] (-742.357) (-755.197) (-710.734) -- 0:03:25
445000 -- (-747.798) (-716.734) (-754.146) [-718.026] * [-715.815] (-746.248) (-744.960) (-713.177) -- 0:03:24
Average standard deviation of split frequencies: 0.008615
446000 -- (-748.306) [-708.913] (-764.090) (-712.489) * [-711.539] (-751.170) (-754.039) (-707.211) -- 0:03:24
447000 -- (-746.537) [-708.230] (-753.151) (-713.303) * [-710.035] (-758.699) (-748.090) (-719.168) -- 0:03:24
448000 -- (-748.649) [-709.219] (-747.984) (-717.170) * [-703.824] (-744.621) (-758.568) (-716.909) -- 0:03:23
449000 -- (-749.713) [-713.121] (-758.897) (-717.081) * [-711.057] (-742.068) (-753.709) (-722.723) -- 0:03:23
450000 -- (-746.574) (-713.993) (-752.368) [-711.641] * [-704.301] (-745.239) (-746.593) (-717.836) -- 0:03:22
Average standard deviation of split frequencies: 0.008650
451000 -- (-753.863) (-720.542) (-754.372) [-704.453] * (-718.067) (-746.526) (-752.052) [-711.434] -- 0:03:23
452000 -- (-746.566) (-713.824) (-751.925) [-703.672] * (-709.283) (-750.868) (-752.621) [-707.077] -- 0:03:22
453000 -- (-740.898) [-712.644] (-747.543) (-711.952) * (-710.839) (-748.423) (-759.927) [-703.255] -- 0:03:21
454000 -- (-754.158) (-709.864) (-744.406) [-714.294] * [-708.905] (-747.454) (-751.268) (-715.680) -- 0:03:22
455000 -- (-762.909) [-705.045] (-743.499) (-725.921) * (-709.859) (-749.875) (-746.253) [-702.771] -- 0:03:21
Average standard deviation of split frequencies: 0.008608
456000 -- (-740.322) (-711.019) (-742.477) [-715.113] * (-712.748) (-740.315) (-743.040) [-704.869] -- 0:03:20
457000 -- (-748.963) (-717.185) (-749.089) [-711.659] * (-706.592) (-747.673) (-741.573) [-707.152] -- 0:03:20
458000 -- (-761.051) (-715.708) (-746.826) [-704.104] * [-709.383] (-751.770) (-748.374) (-711.549) -- 0:03:19
459000 -- (-745.707) (-711.635) (-744.467) [-720.576] * (-710.631) (-746.750) (-749.029) [-718.454] -- 0:03:20
460000 -- (-749.720) (-716.500) (-756.421) [-710.071] * [-706.760] (-740.027) (-748.479) (-721.950) -- 0:03:19
Average standard deviation of split frequencies: 0.008364
461000 -- (-748.806) (-717.551) (-755.781) [-707.237] * [-707.904] (-749.757) (-752.811) (-718.992) -- 0:03:18
462000 -- (-751.948) (-714.919) (-747.295) [-705.861] * (-716.164) (-747.255) (-749.557) [-710.260] -- 0:03:19
463000 -- (-756.478) (-712.865) (-744.621) [-707.416] * (-708.813) (-752.412) (-742.983) [-721.948] -- 0:03:18
464000 -- (-744.762) (-713.609) (-755.240) [-705.073] * (-709.193) (-752.804) (-746.364) [-706.944] -- 0:03:17
465000 -- (-750.510) [-706.352] (-746.770) (-713.485) * (-704.956) (-754.800) (-754.257) [-708.718] -- 0:03:17
Average standard deviation of split frequencies: 0.008203
466000 -- (-751.874) [-706.398] (-741.982) (-709.519) * [-700.775] (-756.591) (-762.048) (-729.062) -- 0:03:17
467000 -- (-750.044) (-717.210) (-756.625) [-711.325] * [-701.903] (-755.912) (-753.236) (-724.980) -- 0:03:16
468000 -- (-748.140) (-718.318) (-754.202) [-711.300] * [-706.601] (-750.286) (-750.523) (-712.612) -- 0:03:16
469000 -- (-744.351) [-707.096] (-742.615) (-714.159) * [-705.266] (-747.146) (-744.063) (-717.964) -- 0:03:15
470000 -- (-753.782) [-709.783] (-745.196) (-713.922) * [-704.810] (-751.450) (-751.814) (-728.753) -- 0:03:16
Average standard deviation of split frequencies: 0.008588
471000 -- (-753.219) (-710.288) (-753.142) [-706.963] * [-710.070] (-746.322) (-736.741) (-721.179) -- 0:03:15
472000 -- (-746.671) [-716.223] (-746.499) (-712.263) * [-705.429] (-742.636) (-744.227) (-710.646) -- 0:03:14
473000 -- (-748.832) [-707.609] (-740.228) (-713.841) * [-715.405] (-743.216) (-751.670) (-717.686) -- 0:03:14
474000 -- (-745.687) [-713.884] (-750.172) (-705.950) * [-704.739] (-759.960) (-753.100) (-706.462) -- 0:03:14
475000 -- (-755.685) [-712.405] (-756.441) (-709.793) * [-703.393] (-747.112) (-750.315) (-717.717) -- 0:03:13
Average standard deviation of split frequencies: 0.008950
476000 -- (-748.925) (-708.620) (-764.114) [-705.125] * [-702.936] (-757.118) (-742.000) (-704.501) -- 0:03:13
477000 -- (-745.461) (-710.658) (-761.916) [-705.743] * [-716.725] (-755.087) (-748.550) (-714.786) -- 0:03:12
478000 -- (-741.660) [-705.891] (-743.952) (-720.504) * [-713.684] (-756.145) (-750.411) (-713.889) -- 0:03:12
479000 -- (-750.457) (-712.080) (-753.264) [-722.824] * [-707.052] (-749.438) (-742.497) (-721.519) -- 0:03:12
480000 -- (-745.852) (-717.894) (-754.885) [-715.518] * [-715.661] (-755.905) (-758.845) (-724.083) -- 0:03:11
Average standard deviation of split frequencies: 0.008883
481000 -- (-748.364) [-705.751] (-754.085) (-709.430) * [-708.192] (-757.111) (-749.733) (-712.891) -- 0:03:12
482000 -- (-757.203) [-702.642] (-755.375) (-704.919) * [-709.263] (-748.655) (-751.628) (-711.370) -- 0:03:11
483000 -- (-760.585) (-708.575) (-745.691) [-711.722] * (-713.230) (-742.238) (-753.857) [-716.163] -- 0:03:10
484000 -- (-749.146) [-706.791] (-742.181) (-706.678) * [-718.629] (-747.472) (-751.322) (-710.984) -- 0:03:10
485000 -- (-749.410) (-706.355) (-743.873) [-710.316] * [-712.445] (-745.181) (-748.941) (-716.625) -- 0:03:10
Average standard deviation of split frequencies: 0.008851
486000 -- (-751.778) (-720.064) (-744.785) [-711.782] * [-702.704] (-747.655) (-750.325) (-725.145) -- 0:03:09
487000 -- (-758.955) [-705.048] (-756.464) (-713.162) * [-706.411] (-747.980) (-751.688) (-712.727) -- 0:03:09
488000 -- (-756.964) (-706.966) (-746.551) [-708.733] * (-715.159) (-756.944) (-753.037) [-709.494] -- 0:03:08
489000 -- (-755.918) [-714.330] (-749.952) (-708.182) * [-712.143] (-742.155) (-751.807) (-718.432) -- 0:03:09
490000 -- (-753.735) [-707.026] (-743.976) (-713.396) * (-705.754) (-765.141) (-751.462) [-705.278] -- 0:03:08
Average standard deviation of split frequencies: 0.008891
491000 -- (-753.505) [-708.944] (-750.167) (-714.232) * (-719.198) (-769.587) (-750.781) [-702.073] -- 0:03:07
492000 -- (-756.432) (-715.253) (-749.558) [-714.333] * [-703.983] (-749.668) (-759.090) (-707.007) -- 0:03:07
493000 -- (-748.301) (-717.857) (-750.345) [-714.343] * (-710.981) (-753.564) (-746.368) [-713.109] -- 0:03:07
494000 -- (-746.891) [-709.333] (-763.875) (-710.472) * (-722.202) (-752.409) (-754.619) [-706.117] -- 0:03:06
495000 -- (-750.342) (-718.244) (-746.163) [-709.089] * (-711.265) (-753.948) (-760.703) [-713.494] -- 0:03:06
Average standard deviation of split frequencies: 0.009193
496000 -- (-739.860) (-716.099) (-747.897) [-712.070] * (-710.759) (-746.618) (-746.866) [-707.124] -- 0:03:05
497000 -- (-757.216) [-723.078] (-755.894) (-706.364) * (-706.691) (-749.492) (-746.259) [-707.099] -- 0:03:06
498000 -- (-749.304) (-718.840) (-749.258) [-713.779] * [-706.702] (-753.239) (-755.375) (-709.612) -- 0:03:05
499000 -- (-752.657) (-715.254) (-748.907) [-705.692] * (-702.975) (-743.459) (-753.435) [-712.977] -- 0:03:04
500000 -- (-744.963) (-702.964) (-753.447) [-720.479] * (-717.040) (-742.473) (-753.780) [-716.631] -- 0:03:05
Average standard deviation of split frequencies: 0.009090
501000 -- (-740.501) (-709.553) (-752.356) [-704.660] * (-707.242) (-755.830) (-748.072) [-705.768] -- 0:03:04
502000 -- (-747.816) (-711.344) (-756.517) [-702.834] * [-707.268] (-760.386) (-751.861) (-713.339) -- 0:03:03
503000 -- (-754.511) (-712.695) (-755.953) [-703.379] * [-703.945] (-743.606) (-750.775) (-707.029) -- 0:03:03
504000 -- (-757.805) (-715.279) (-753.724) [-706.655] * (-716.721) (-744.805) (-745.962) [-712.337] -- 0:03:03
505000 -- (-772.384) (-705.014) (-748.948) [-702.251] * [-710.545] (-753.554) (-749.924) (-714.326) -- 0:03:02
Average standard deviation of split frequencies: 0.009017
506000 -- (-750.294) (-716.775) (-755.426) [-711.058] * (-726.249) (-747.662) (-751.622) [-708.091] -- 0:03:02
507000 -- (-740.393) (-719.072) (-756.104) [-705.728] * (-705.367) (-756.501) (-745.842) [-705.254] -- 0:03:01
508000 -- (-744.355) (-710.731) (-750.360) [-717.437] * (-709.657) (-754.515) (-739.234) [-706.741] -- 0:03:02
509000 -- (-751.099) [-703.217] (-750.857) (-709.007) * [-709.570] (-748.496) (-744.181) (-712.311) -- 0:03:01
510000 -- (-745.301) [-710.724] (-750.133) (-714.749) * (-712.315) (-754.792) (-740.768) [-706.530] -- 0:03:00
Average standard deviation of split frequencies: 0.009402
511000 -- (-764.537) (-713.192) (-753.839) [-702.418] * (-713.262) (-757.086) (-748.736) [-702.052] -- 0:03:00
512000 -- (-753.562) (-720.151) (-757.560) [-705.975] * (-718.448) (-743.728) (-751.309) [-712.516] -- 0:03:00
513000 -- (-743.861) [-712.952] (-755.446) (-712.431) * [-709.112] (-742.327) (-758.942) (-715.193) -- 0:02:59
514000 -- (-749.243) [-702.856] (-750.666) (-717.685) * [-706.058] (-756.864) (-744.701) (-717.949) -- 0:02:59
515000 -- (-743.830) [-705.445] (-757.605) (-708.307) * (-706.861) (-755.026) (-747.268) [-713.864] -- 0:02:58
Average standard deviation of split frequencies: 0.009653
516000 -- (-751.092) [-708.463] (-745.806) (-707.716) * (-716.055) (-745.750) (-759.480) [-711.463] -- 0:02:59
517000 -- (-747.833) [-707.519] (-740.934) (-708.857) * (-720.424) (-740.729) (-754.309) [-707.418] -- 0:02:58
518000 -- (-757.737) (-708.755) (-761.439) [-713.278] * (-718.608) (-746.632) (-747.674) [-709.685] -- 0:02:57
519000 -- (-745.748) [-706.182] (-755.031) (-716.568) * [-706.547] (-749.412) (-766.182) (-707.796) -- 0:02:57
520000 -- (-745.083) [-705.736] (-759.595) (-711.820) * [-713.550] (-749.315) (-759.298) (-707.397) -- 0:02:57
Average standard deviation of split frequencies: 0.009423
521000 -- (-752.241) [-705.805] (-750.037) (-709.642) * (-707.684) (-746.849) (-755.954) [-706.010] -- 0:02:56
522000 -- (-744.300) [-707.443] (-742.611) (-706.069) * [-710.089] (-744.871) (-747.087) (-710.902) -- 0:02:56
523000 -- (-750.903) (-705.707) (-747.589) [-713.511] * [-709.094] (-746.470) (-752.819) (-713.113) -- 0:02:56
524000 -- (-752.852) (-713.248) (-755.871) [-714.416] * [-715.858] (-750.447) (-752.331) (-716.242) -- 0:02:55
525000 -- (-753.449) (-714.302) (-756.923) [-704.869] * [-710.305] (-755.245) (-748.529) (-714.674) -- 0:02:55
Average standard deviation of split frequencies: 0.009646
526000 -- (-745.184) [-705.503] (-752.808) (-710.748) * (-709.405) (-750.639) (-742.802) [-710.259] -- 0:02:54
527000 -- (-762.006) [-706.871] (-746.688) (-711.669) * (-710.036) (-755.594) (-748.724) [-711.391] -- 0:02:55
528000 -- (-754.363) (-713.991) (-750.502) [-720.846] * (-713.035) (-752.549) (-755.124) [-706.528] -- 0:02:54
529000 -- (-746.095) (-712.206) (-741.417) [-707.766] * (-703.120) (-749.431) (-749.333) [-699.048] -- 0:02:53
530000 -- (-743.097) (-716.807) (-749.460) [-705.831] * (-708.828) (-749.815) (-741.396) [-706.408] -- 0:02:53
Average standard deviation of split frequencies: 0.009804
531000 -- (-751.069) (-706.364) (-744.775) [-709.682] * [-707.722] (-745.853) (-751.788) (-710.829) -- 0:02:53
532000 -- (-742.340) (-710.332) (-752.140) [-708.068] * (-713.762) (-737.461) (-741.461) [-708.860] -- 0:02:52
533000 -- (-754.415) (-705.357) (-747.570) [-709.571] * [-709.658] (-740.102) (-743.698) (-713.592) -- 0:02:52
534000 -- (-745.507) [-707.549] (-754.709) (-713.561) * (-715.122) (-744.411) (-742.530) [-710.947] -- 0:02:51
535000 -- (-749.191) (-706.838) (-756.511) [-700.499] * (-709.104) (-742.744) (-745.001) [-703.175] -- 0:02:52
Average standard deviation of split frequencies: 0.009575
536000 -- (-755.088) (-706.703) (-770.310) [-708.985] * (-712.313) (-742.887) (-751.323) [-705.742] -- 0:02:51
537000 -- (-749.507) (-705.328) (-759.876) [-709.115] * (-703.278) (-757.037) (-755.081) [-713.934] -- 0:02:50
538000 -- (-755.583) (-703.759) (-760.014) [-699.867] * (-703.628) (-755.087) (-749.384) [-708.013] -- 0:02:50
539000 -- (-750.671) [-708.813] (-751.929) (-704.065) * (-714.837) (-748.273) (-744.179) [-706.418] -- 0:02:50
540000 -- (-741.723) [-707.236] (-751.594) (-716.860) * [-706.225] (-753.026) (-757.704) (-713.507) -- 0:02:49
Average standard deviation of split frequencies: 0.009492
541000 -- (-743.198) (-722.645) (-749.589) [-711.540] * (-712.258) (-754.373) (-759.443) [-713.734] -- 0:02:49
542000 -- (-755.910) (-706.486) (-749.354) [-717.200] * (-709.669) (-753.195) (-756.254) [-706.316] -- 0:02:49
543000 -- (-744.890) (-704.009) (-749.690) [-709.236] * [-702.848] (-747.219) (-757.525) (-715.634) -- 0:02:49
544000 -- (-741.540) (-718.016) (-756.430) [-704.578] * [-709.125] (-745.238) (-753.641) (-704.612) -- 0:02:48
545000 -- (-750.716) (-715.355) (-753.750) [-705.417] * [-710.606] (-758.452) (-737.484) (-715.947) -- 0:02:47
Average standard deviation of split frequencies: 0.009105
546000 -- (-744.272) (-707.536) (-752.336) [-713.801] * (-713.119) (-744.856) (-754.618) [-711.790] -- 0:02:47
547000 -- (-754.498) (-711.749) (-747.035) [-707.076] * [-707.720] (-745.785) (-750.367) (-717.533) -- 0:02:47
548000 -- (-762.475) (-714.635) (-765.535) [-707.223] * [-706.294] (-751.791) (-749.168) (-712.349) -- 0:02:46
549000 -- (-743.964) (-719.785) (-750.706) [-707.511] * [-707.679] (-750.935) (-747.242) (-714.228) -- 0:02:46
550000 -- (-751.124) (-709.571) (-743.106) [-707.822] * (-712.795) (-743.793) (-766.602) [-712.030] -- 0:02:46
Average standard deviation of split frequencies: 0.009337
551000 -- (-754.240) (-714.013) (-739.279) [-710.295] * [-705.130] (-751.727) (-751.586) (-718.419) -- 0:02:46
552000 -- (-757.562) (-710.901) (-747.367) [-714.313] * [-704.370] (-743.875) (-753.440) (-721.615) -- 0:02:45
553000 -- (-753.310) [-713.485] (-749.207) (-709.741) * [-702.174] (-754.436) (-756.586) (-710.104) -- 0:02:44
554000 -- (-739.637) [-711.871] (-748.049) (-713.246) * [-714.967] (-748.892) (-752.429) (-712.894) -- 0:02:45
555000 -- (-753.882) [-712.648] (-767.893) (-715.011) * (-710.255) (-751.793) (-754.517) [-703.293] -- 0:02:44
Average standard deviation of split frequencies: 0.009248
556000 -- (-746.780) [-705.034] (-755.414) (-710.951) * [-709.447] (-741.599) (-746.130) (-710.308) -- 0:02:43
557000 -- (-739.614) [-703.663] (-744.829) (-716.177) * [-719.673] (-740.952) (-751.819) (-711.123) -- 0:02:43
558000 -- (-741.376) [-706.606] (-741.277) (-713.176) * (-721.341) (-748.667) (-756.433) [-706.140] -- 0:02:43
559000 -- (-750.024) [-712.581] (-736.795) (-726.520) * (-719.319) (-754.694) (-758.759) [-712.861] -- 0:02:42
560000 -- (-746.915) (-711.940) (-744.082) [-703.106] * (-715.305) (-746.478) (-744.652) [-709.848] -- 0:02:42
Average standard deviation of split frequencies: 0.009046
561000 -- (-755.304) [-707.907] (-761.986) (-712.429) * (-707.296) (-748.381) (-759.504) [-718.185] -- 0:02:41
562000 -- (-755.566) [-702.216] (-757.807) (-708.284) * (-707.334) (-745.081) (-750.505) [-708.290] -- 0:02:42
563000 -- (-753.521) [-705.785] (-752.172) (-715.126) * (-704.310) (-753.215) (-745.120) [-710.872] -- 0:02:41
564000 -- (-755.575) [-705.544] (-747.640) (-706.925) * (-714.374) (-756.016) (-744.620) [-707.696] -- 0:02:40
565000 -- (-757.837) [-705.297] (-748.954) (-714.579) * (-712.006) (-752.633) (-744.727) [-704.022] -- 0:02:40
Average standard deviation of split frequencies: 0.009102
566000 -- (-748.733) [-702.563] (-746.353) (-713.470) * [-710.873] (-747.911) (-747.764) (-709.761) -- 0:02:40
567000 -- (-756.172) [-712.777] (-744.180) (-715.902) * [-710.453] (-747.047) (-752.225) (-705.091) -- 0:02:39
568000 -- (-761.755) (-708.017) (-754.354) [-712.686] * [-708.413] (-753.961) (-748.859) (-707.739) -- 0:02:39
569000 -- (-748.579) [-706.692] (-743.736) (-719.356) * [-717.114] (-764.550) (-751.292) (-711.136) -- 0:02:39
570000 -- (-759.443) [-705.485] (-752.559) (-712.541) * (-707.861) (-751.495) (-753.863) [-704.674] -- 0:02:39
Average standard deviation of split frequencies: 0.008816
571000 -- (-751.668) [-716.930] (-741.303) (-714.640) * (-710.874) (-752.930) (-752.703) [-705.172] -- 0:02:38
572000 -- (-747.735) [-711.736] (-744.437) (-719.640) * (-710.434) (-744.103) (-754.701) [-704.526] -- 0:02:37
573000 -- (-742.240) [-702.883] (-763.245) (-709.819) * (-709.587) (-746.365) (-753.520) [-708.227] -- 0:02:37
574000 -- (-745.499) [-706.781] (-754.066) (-716.708) * (-710.593) (-749.994) (-751.311) [-711.849] -- 0:02:37
575000 -- (-757.449) [-701.896] (-751.381) (-710.169) * (-714.833) (-745.652) (-759.342) [-702.685] -- 0:02:36
Average standard deviation of split frequencies: 0.008912
576000 -- (-756.746) [-713.456] (-751.701) (-722.114) * (-723.767) (-743.416) (-752.368) [-720.725] -- 0:02:36
577000 -- (-743.655) (-710.118) (-750.284) [-705.442] * (-712.094) (-750.244) (-750.968) [-711.727] -- 0:02:36
578000 -- (-747.660) (-713.776) (-745.034) [-709.560] * (-707.863) (-746.471) (-751.023) [-704.740] -- 0:02:35
579000 -- (-749.186) [-712.800] (-755.253) (-721.576) * (-716.800) (-747.283) (-758.836) [-707.206] -- 0:02:35
580000 -- (-746.816) [-705.991] (-749.278) (-707.189) * (-729.479) (-754.724) (-752.216) [-707.533] -- 0:02:34
Average standard deviation of split frequencies: 0.008709
581000 -- (-747.227) [-721.009] (-741.806) (-716.169) * (-718.990) (-753.091) (-753.497) [-712.351] -- 0:02:35
582000 -- (-755.036) [-714.543] (-738.400) (-727.305) * (-709.196) (-748.082) (-748.641) [-703.525] -- 0:02:34
583000 -- (-746.772) (-710.386) (-738.427) [-713.951] * (-706.417) (-746.552) (-740.427) [-711.797] -- 0:02:33
584000 -- (-754.954) (-709.295) (-754.012) [-707.754] * (-706.140) (-754.392) (-752.150) [-711.397] -- 0:02:33
585000 -- (-753.366) (-723.008) (-742.576) [-711.177] * (-712.299) (-751.152) (-738.659) [-719.473] -- 0:02:33
Average standard deviation of split frequencies: 0.008483
586000 -- (-745.956) [-707.457] (-744.057) (-715.867) * (-720.732) (-748.696) (-748.270) [-714.180] -- 0:02:32
587000 -- (-755.361) [-707.793] (-745.663) (-707.410) * [-708.639] (-759.149) (-739.604) (-712.071) -- 0:02:32
588000 -- (-748.437) [-707.384] (-743.077) (-706.794) * [-703.448] (-748.068) (-752.217) (-709.177) -- 0:02:32
589000 -- (-760.503) [-714.698] (-749.575) (-703.821) * [-713.908] (-743.556) (-751.823) (-717.691) -- 0:02:32
590000 -- (-762.858) [-703.866] (-754.011) (-714.523) * [-705.734] (-743.090) (-752.722) (-717.557) -- 0:02:31
Average standard deviation of split frequencies: 0.008217
591000 -- (-756.272) (-711.101) (-752.359) [-708.668] * (-709.134) (-756.953) (-747.812) [-708.757] -- 0:02:30
592000 -- (-745.169) (-711.259) (-749.788) [-708.740] * [-707.777] (-754.202) (-748.754) (-713.388) -- 0:02:30
593000 -- (-746.545) (-711.831) (-748.712) [-709.087] * (-724.364) (-740.776) (-752.567) [-705.521] -- 0:02:30
594000 -- (-760.619) [-703.225] (-747.380) (-707.563) * (-713.393) (-745.385) (-743.151) [-711.765] -- 0:02:29
595000 -- (-742.788) [-704.071] (-747.011) (-715.288) * [-711.838] (-741.089) (-747.031) (-707.228) -- 0:02:29
Average standard deviation of split frequencies: 0.008158
596000 -- (-753.698) [-704.021] (-749.542) (-712.868) * [-709.766] (-737.697) (-751.242) (-705.370) -- 0:02:29
597000 -- (-760.321) [-711.218] (-742.208) (-722.989) * [-712.677] (-748.356) (-745.694) (-707.936) -- 0:02:29
598000 -- (-760.732) [-705.271] (-746.392) (-720.975) * (-708.529) (-743.842) (-751.668) [-716.626] -- 0:02:28
599000 -- (-754.404) [-705.902] (-743.393) (-713.178) * [-705.425] (-743.101) (-743.680) (-706.466) -- 0:02:27
600000 -- (-748.727) [-710.502] (-752.152) (-720.745) * [-710.454] (-748.594) (-749.798) (-709.891) -- 0:02:28
Average standard deviation of split frequencies: 0.008095
601000 -- (-759.296) [-704.710] (-744.229) (-713.326) * [-709.498] (-749.996) (-742.108) (-713.508) -- 0:02:27
602000 -- (-746.801) [-706.176] (-750.740) (-714.567) * [-711.002] (-744.312) (-745.732) (-711.785) -- 0:02:26
603000 -- (-757.751) [-708.533] (-747.617) (-709.134) * [-700.873] (-748.839) (-744.559) (-709.929) -- 0:02:26
604000 -- (-768.515) [-707.788] (-746.534) (-710.069) * [-703.939] (-745.102) (-742.679) (-714.941) -- 0:02:26
605000 -- (-761.177) [-698.846] (-749.673) (-707.587) * [-698.721] (-754.357) (-754.552) (-712.633) -- 0:02:25
Average standard deviation of split frequencies: 0.007894
606000 -- (-750.193) [-705.893] (-756.152) (-716.971) * [-710.837] (-746.751) (-751.448) (-714.614) -- 0:02:25
607000 -- (-762.288) (-709.645) (-756.941) [-708.233] * (-713.348) (-744.939) (-739.054) [-721.638] -- 0:02:25
608000 -- (-747.688) [-717.645] (-751.458) (-706.329) * (-714.692) (-755.271) (-748.867) [-713.099] -- 0:02:25
609000 -- (-741.781) [-707.138] (-746.824) (-717.986) * [-717.499] (-740.337) (-747.590) (-718.958) -- 0:02:24
610000 -- (-756.388) [-704.856] (-746.542) (-719.174) * [-710.956] (-743.703) (-747.712) (-710.130) -- 0:02:23
Average standard deviation of split frequencies: 0.007519
611000 -- (-760.515) [-714.450] (-753.718) (-709.842) * [-708.381] (-749.554) (-746.005) (-710.743) -- 0:02:23
612000 -- (-747.012) (-712.439) (-750.018) [-718.719] * [-702.720] (-754.300) (-754.408) (-705.369) -- 0:02:23
613000 -- (-749.711) (-718.544) (-749.934) [-708.664] * (-710.644) (-752.270) (-747.942) [-707.472] -- 0:02:22
614000 -- (-746.706) [-701.960] (-754.752) (-711.555) * (-708.010) (-755.860) (-753.624) [-704.825] -- 0:02:22
615000 -- (-741.425) [-709.219] (-750.801) (-718.484) * (-706.424) (-739.846) (-761.871) [-709.595] -- 0:02:22
Average standard deviation of split frequencies: 0.007426
616000 -- (-744.124) (-709.038) (-747.902) [-716.689] * (-707.016) (-749.658) (-750.947) [-720.897] -- 0:02:22
617000 -- (-738.603) [-703.919] (-759.082) (-714.560) * (-722.215) (-749.699) (-759.438) [-704.353] -- 0:02:21
618000 -- (-760.474) [-703.789] (-753.219) (-706.497) * (-717.744) (-745.978) (-746.289) [-706.398] -- 0:02:20
619000 -- (-745.832) [-699.938] (-752.697) (-715.564) * (-716.996) (-761.733) (-757.356) [-705.650] -- 0:02:20
620000 -- (-766.344) (-709.421) (-751.227) [-708.689] * (-705.103) (-750.967) (-750.087) [-702.884] -- 0:02:20
Average standard deviation of split frequencies: 0.007882
621000 -- (-749.558) [-705.391] (-747.851) (-715.497) * (-710.449) (-750.793) (-748.983) [-707.819] -- 0:02:19
622000 -- (-746.617) (-720.037) (-744.649) [-712.833] * (-718.627) (-751.013) (-747.404) [-706.443] -- 0:02:19
623000 -- (-746.530) (-702.175) (-749.579) [-711.474] * (-713.981) (-749.792) (-762.026) [-710.148] -- 0:02:19
624000 -- (-744.143) (-711.848) (-751.614) [-711.848] * [-703.780] (-745.940) (-765.749) (-711.083) -- 0:02:19
625000 -- (-748.750) (-707.540) (-755.088) [-707.493] * (-707.877) (-743.918) (-765.467) [-710.394] -- 0:02:18
Average standard deviation of split frequencies: 0.008028
626000 -- (-745.762) [-711.980] (-749.201) (-710.854) * [-702.592] (-746.060) (-759.482) (-702.662) -- 0:02:18
627000 -- (-747.070) (-715.701) (-754.175) [-714.223] * [-710.654] (-752.298) (-755.090) (-711.675) -- 0:02:18
628000 -- (-745.294) (-703.781) (-761.636) [-714.490] * [-709.241] (-751.339) (-758.254) (-719.310) -- 0:02:17
629000 -- (-745.625) (-710.960) (-758.561) [-705.249] * [-706.211] (-754.538) (-758.506) (-717.119) -- 0:02:16
630000 -- (-740.112) (-714.519) (-754.064) [-710.407] * [-708.812] (-746.055) (-750.395) (-710.344) -- 0:02:16
Average standard deviation of split frequencies: 0.007997
631000 -- (-750.474) (-712.255) (-749.055) [-703.749] * (-706.018) (-750.348) (-760.390) [-713.222] -- 0:02:16
632000 -- (-751.979) [-705.541] (-750.596) (-720.984) * [-715.013] (-740.229) (-754.821) (-708.731) -- 0:02:15
633000 -- (-741.268) [-701.407] (-742.595) (-711.021) * [-709.118] (-752.362) (-742.642) (-714.271) -- 0:02:15
634000 -- (-748.796) [-707.783] (-742.136) (-707.326) * (-711.475) (-749.948) (-741.652) [-710.078] -- 0:02:15
635000 -- (-758.464) [-709.592] (-748.474) (-718.481) * [-713.705] (-747.915) (-746.838) (-717.892) -- 0:02:15
Average standard deviation of split frequencies: 0.007888
636000 -- (-755.980) [-704.761] (-755.862) (-719.039) * (-719.318) (-751.241) (-746.541) [-709.540] -- 0:02:14
637000 -- (-746.241) (-706.065) (-748.023) [-710.213] * [-709.061] (-759.874) (-738.653) (-714.130) -- 0:02:13
638000 -- (-751.849) [-714.009] (-747.008) (-716.133) * (-711.808) (-765.907) (-743.694) [-709.502] -- 0:02:13
639000 -- (-753.854) [-706.386] (-738.835) (-713.360) * (-712.478) (-758.118) (-738.608) [-707.937] -- 0:02:13
640000 -- (-763.490) (-708.473) (-742.424) [-706.364] * (-711.702) (-750.503) (-759.169) [-707.273] -- 0:02:12
Average standard deviation of split frequencies: 0.007692
641000 -- (-755.390) [-701.487] (-738.725) (-710.101) * (-714.680) (-753.058) (-744.325) [-705.262] -- 0:02:12
642000 -- (-748.499) [-706.810] (-743.818) (-716.769) * (-726.177) (-741.314) (-752.150) [-705.387] -- 0:02:12
643000 -- (-748.083) [-709.250] (-749.732) (-704.640) * (-712.496) (-753.916) (-740.877) [-709.236] -- 0:02:12
644000 -- (-740.180) [-708.318] (-749.148) (-704.042) * [-707.890] (-744.482) (-751.936) (-704.516) -- 0:02:11
645000 -- (-748.156) (-718.594) (-743.732) [-699.553] * (-709.005) (-750.103) (-751.409) [-706.532] -- 0:02:10
Average standard deviation of split frequencies: 0.007775
646000 -- (-758.469) (-709.687) (-742.252) [-710.950] * (-716.053) (-754.955) (-741.391) [-704.839] -- 0:02:10
647000 -- (-747.335) (-711.637) (-747.957) [-714.697] * (-713.780) (-754.808) (-757.239) [-709.604] -- 0:02:10
648000 -- (-732.973) (-711.941) (-747.901) [-713.349] * (-706.439) (-748.796) (-744.381) [-706.764] -- 0:02:09
649000 -- (-746.480) (-708.886) (-748.164) [-703.956] * (-714.238) (-748.791) (-762.168) [-706.752] -- 0:02:09
650000 -- (-746.324) [-708.138] (-739.934) (-704.492) * (-712.291) (-744.589) (-744.060) [-705.423] -- 0:02:09
Average standard deviation of split frequencies: 0.007634
651000 -- (-747.498) (-704.699) (-746.610) [-712.317] * (-707.528) (-746.797) (-745.930) [-710.119] -- 0:02:08
652000 -- (-749.988) (-707.087) (-745.021) [-714.544] * (-708.401) (-744.559) (-755.288) [-705.686] -- 0:02:08
653000 -- (-749.870) [-705.765] (-750.956) (-715.501) * (-712.638) (-741.547) (-752.066) [-708.115] -- 0:02:08
654000 -- (-755.079) [-706.788] (-749.209) (-723.529) * [-703.138] (-745.615) (-746.783) (-721.042) -- 0:02:08
655000 -- (-754.195) [-703.485] (-753.202) (-723.655) * [-706.146] (-747.510) (-759.476) (-710.894) -- 0:02:07
Average standard deviation of split frequencies: 0.007692
656000 -- (-757.076) [-706.130] (-751.796) (-717.781) * [-709.022] (-752.994) (-744.715) (-718.270) -- 0:02:06
657000 -- (-747.410) (-709.550) (-748.811) [-707.215] * [-714.158] (-759.942) (-747.702) (-712.054) -- 0:02:06
658000 -- (-753.269) [-708.572] (-754.031) (-708.249) * [-710.566] (-746.571) (-757.892) (-712.132) -- 0:02:06
659000 -- (-751.744) [-702.216] (-756.196) (-710.561) * [-714.010] (-753.750) (-753.795) (-718.163) -- 0:02:05
660000 -- (-754.382) (-706.723) (-749.489) [-706.492] * [-707.749] (-745.867) (-749.038) (-713.847) -- 0:02:05
Average standard deviation of split frequencies: 0.007620
661000 -- (-748.942) (-710.109) (-734.424) [-703.788] * [-707.209] (-741.744) (-750.468) (-713.571) -- 0:02:05
662000 -- (-764.052) [-707.079] (-747.741) (-718.363) * (-710.093) (-741.200) (-761.547) [-717.774] -- 0:02:05
663000 -- (-746.436) (-705.018) (-751.992) [-705.782] * (-708.870) (-742.109) (-755.889) [-706.087] -- 0:02:04
664000 -- (-765.570) (-714.186) (-750.741) [-712.864] * [-706.077] (-742.268) (-745.022) (-715.606) -- 0:02:03
665000 -- (-742.564) (-709.616) (-749.047) [-705.253] * [-713.208] (-754.417) (-747.355) (-711.980) -- 0:02:03
Average standard deviation of split frequencies: 0.007275
666000 -- (-753.772) (-712.666) (-745.014) [-714.833] * [-710.028] (-749.313) (-750.224) (-717.834) -- 0:02:03
667000 -- (-743.784) (-707.600) (-755.593) [-704.597] * [-706.038] (-749.512) (-742.226) (-708.897) -- 0:02:02
668000 -- (-752.261) [-708.576] (-751.183) (-717.984) * (-730.763) (-747.543) (-747.609) [-709.761] -- 0:02:02
669000 -- (-743.935) (-716.789) (-756.383) [-710.456] * (-707.631) (-747.203) (-752.106) [-706.745] -- 0:02:02
670000 -- (-746.890) (-709.487) (-754.859) [-710.497] * [-719.472] (-743.304) (-764.605) (-711.988) -- 0:02:02
Average standard deviation of split frequencies: 0.007172
671000 -- (-746.303) (-710.916) (-745.510) [-709.886] * (-716.430) (-743.715) (-750.546) [-703.498] -- 0:02:01
672000 -- (-751.536) (-717.835) (-743.713) [-706.899] * (-714.092) (-750.859) (-742.019) [-718.517] -- 0:02:01
673000 -- (-749.879) (-717.270) (-759.740) [-707.463] * (-723.878) (-743.750) (-746.911) [-708.371] -- 0:02:00
674000 -- (-746.805) [-710.223] (-751.688) (-707.740) * (-717.601) (-743.427) (-748.864) [-712.230] -- 0:02:00
675000 -- (-753.332) (-705.214) (-757.572) [-704.744] * (-721.322) (-745.354) (-756.465) [-705.328] -- 0:01:59
Average standard deviation of split frequencies: 0.007158
676000 -- (-754.901) (-708.473) (-753.319) [-717.463] * (-717.248) (-751.079) (-749.455) [-710.751] -- 0:01:59
677000 -- (-746.121) (-718.722) (-750.576) [-710.661] * (-708.067) (-739.218) (-746.591) [-704.594] -- 0:01:59
678000 -- (-748.560) [-708.131] (-753.963) (-708.196) * (-710.738) (-756.905) (-754.995) [-704.982] -- 0:01:59
679000 -- (-752.915) [-707.466] (-756.816) (-712.032) * (-715.554) (-741.283) (-744.702) [-714.397] -- 0:01:58
680000 -- (-753.359) [-711.910] (-744.612) (-705.043) * (-714.915) (-746.695) (-752.347) [-703.033] -- 0:01:58
Average standard deviation of split frequencies: 0.006990
681000 -- (-746.916) [-704.012] (-756.857) (-715.165) * (-714.358) (-746.280) (-750.614) [-707.571] -- 0:01:58
682000 -- (-758.119) [-702.789] (-744.781) (-714.310) * [-713.644] (-751.074) (-753.566) (-715.940) -- 0:01:57
683000 -- (-747.467) [-711.715] (-743.418) (-712.655) * (-712.452) (-751.879) (-745.825) [-709.742] -- 0:01:56
684000 -- (-751.081) [-710.004] (-759.055) (-714.174) * (-718.260) (-739.177) (-751.677) [-714.834] -- 0:01:56
685000 -- (-749.004) (-715.604) (-746.848) [-703.528] * (-717.170) (-744.299) (-744.355) [-708.558] -- 0:01:56
Average standard deviation of split frequencies: 0.007147
686000 -- (-746.165) [-716.391] (-752.848) (-710.761) * (-713.921) (-760.529) (-753.315) [-708.582] -- 0:01:56
687000 -- (-742.168) [-712.475] (-752.568) (-707.300) * (-714.986) (-753.280) (-745.730) [-703.853] -- 0:01:55
688000 -- (-743.686) [-708.644] (-745.900) (-712.472) * (-725.742) (-753.092) (-754.769) [-707.932] -- 0:01:55
689000 -- (-758.288) [-716.575] (-748.912) (-705.108) * (-723.251) (-750.271) (-748.200) [-709.934] -- 0:01:55
690000 -- (-753.786) [-708.690] (-752.569) (-712.767) * (-717.347) (-743.877) (-761.807) [-702.452] -- 0:01:54
Average standard deviation of split frequencies: 0.007186
691000 -- (-742.941) [-711.362] (-754.671) (-715.931) * (-718.974) (-750.847) (-757.565) [-708.275] -- 0:01:54
692000 -- (-744.069) [-710.710] (-740.406) (-726.077) * (-720.942) (-749.470) (-748.284) [-709.866] -- 0:01:53
693000 -- (-753.712) [-706.518] (-760.211) (-715.705) * (-717.083) (-746.161) (-757.210) [-708.788] -- 0:01:53
694000 -- (-745.138) [-711.891] (-745.680) (-705.059) * (-705.119) (-744.250) (-746.195) [-707.309] -- 0:01:52
695000 -- (-746.031) [-707.650] (-748.309) (-713.521) * [-705.930] (-762.588) (-752.517) (-710.029) -- 0:01:52
Average standard deviation of split frequencies: 0.006748
696000 -- (-748.113) [-709.595] (-755.653) (-712.060) * (-717.659) (-750.610) (-756.310) [-714.042] -- 0:01:52
697000 -- (-751.339) [-705.635] (-740.927) (-711.223) * (-710.526) (-748.571) (-756.910) [-715.536] -- 0:01:52
698000 -- (-747.988) [-712.172] (-754.447) (-702.601) * (-710.240) (-748.434) (-749.167) [-708.615] -- 0:01:51
699000 -- (-751.569) (-710.939) (-746.930) [-708.685] * (-703.001) (-747.463) (-747.560) [-704.347] -- 0:01:51
700000 -- (-755.104) (-705.319) (-752.007) [-705.644] * (-701.998) (-751.514) (-733.998) [-699.823] -- 0:01:51
Average standard deviation of split frequencies: 0.006728
701000 -- (-748.586) [-705.947] (-739.126) (-719.629) * (-700.093) (-748.156) (-739.828) [-707.475] -- 0:01:50
702000 -- (-755.142) [-711.919] (-748.205) (-706.509) * [-701.693] (-750.867) (-747.062) (-716.780) -- 0:01:49
703000 -- (-741.228) [-705.931] (-758.981) (-703.431) * [-708.429] (-741.667) (-745.593) (-711.848) -- 0:01:49
704000 -- (-741.299) [-705.046] (-748.799) (-717.421) * [-709.151] (-759.731) (-743.045) (-712.163) -- 0:01:49
705000 -- (-750.024) [-703.580] (-756.793) (-718.507) * [-710.482] (-751.645) (-747.982) (-706.667) -- 0:01:49
Average standard deviation of split frequencies: 0.006806
706000 -- (-743.279) [-713.512] (-740.350) (-723.638) * [-704.862] (-751.301) (-749.352) (-710.247) -- 0:01:48
707000 -- (-752.007) [-710.400] (-744.132) (-712.124) * (-704.714) (-757.321) (-742.763) [-710.592] -- 0:01:48
708000 -- (-759.282) (-722.028) (-750.892) [-702.257] * (-715.291) (-751.861) (-755.805) [-705.160] -- 0:01:48
709000 -- (-753.909) (-719.104) (-741.290) [-701.360] * (-717.893) (-750.003) (-753.468) [-708.636] -- 0:01:47
710000 -- (-741.181) (-708.493) (-745.613) [-704.941] * [-721.234] (-747.116) (-750.020) (-707.785) -- 0:01:47
Average standard deviation of split frequencies: 0.006914
711000 -- (-749.332) [-711.544] (-747.829) (-712.431) * (-708.194) (-758.331) (-744.569) [-705.405] -- 0:01:46
712000 -- (-757.460) [-712.874] (-745.988) (-724.014) * [-706.103] (-754.276) (-745.842) (-706.293) -- 0:01:46
713000 -- (-739.984) [-706.791] (-758.084) (-711.982) * [-709.131] (-746.019) (-747.595) (-714.767) -- 0:01:45
714000 -- (-748.502) [-707.784] (-746.315) (-719.520) * [-714.563] (-754.293) (-741.490) (-716.797) -- 0:01:45
715000 -- (-742.660) (-705.675) (-755.829) [-707.164] * [-716.215] (-752.856) (-745.518) (-723.589) -- 0:01:45
Average standard deviation of split frequencies: 0.006761
716000 -- (-743.829) [-710.719] (-743.573) (-706.542) * [-714.030] (-754.022) (-758.962) (-710.279) -- 0:01:45
717000 -- (-742.128) [-715.159] (-741.314) (-721.411) * [-714.742] (-761.911) (-760.195) (-714.346) -- 0:01:44
718000 -- (-751.924) [-715.174] (-748.263) (-712.925) * [-707.934] (-740.835) (-755.020) (-720.458) -- 0:01:44
719000 -- (-746.374) [-714.709] (-743.053) (-710.251) * (-722.577) (-751.692) (-751.096) [-713.756] -- 0:01:43
720000 -- (-750.533) [-708.717] (-745.765) (-707.768) * [-702.379] (-754.481) (-754.283) (-711.952) -- 0:01:43
Average standard deviation of split frequencies: 0.006702
721000 -- (-744.240) (-710.138) (-741.144) [-708.794] * [-703.559] (-755.382) (-745.393) (-722.178) -- 0:01:42
722000 -- (-752.803) (-716.570) (-751.788) [-707.208] * [-708.036] (-764.772) (-750.670) (-721.829) -- 0:01:42
723000 -- (-754.020) (-718.188) (-746.932) [-708.751] * [-711.236] (-755.682) (-748.533) (-709.413) -- 0:01:42
724000 -- (-748.684) [-709.674] (-737.733) (-717.603) * (-710.554) (-749.102) (-748.618) [-704.945] -- 0:01:42
725000 -- (-746.873) [-715.517] (-747.422) (-718.438) * (-716.083) (-745.717) (-758.983) [-709.692] -- 0:01:41
Average standard deviation of split frequencies: 0.006457
726000 -- (-748.641) [-706.985] (-747.829) (-717.175) * (-713.272) (-749.402) (-754.387) [-708.859] -- 0:01:41
727000 -- (-744.479) [-706.931] (-756.149) (-723.573) * (-715.517) (-754.711) (-747.281) [-706.884] -- 0:01:41
728000 -- (-749.557) (-708.658) (-758.784) [-709.784] * (-718.411) (-750.736) (-742.132) [-708.941] -- 0:01:40
729000 -- (-749.455) (-714.312) (-756.160) [-704.531] * (-714.552) (-762.112) (-756.681) [-712.465] -- 0:01:39
730000 -- (-747.568) (-704.869) (-749.068) [-711.885] * [-704.586] (-758.485) (-745.349) (-712.004) -- 0:01:39
Average standard deviation of split frequencies: 0.006093
731000 -- (-750.741) (-710.840) (-751.166) [-712.150] * [-708.717] (-746.091) (-751.129) (-708.200) -- 0:01:39
732000 -- (-767.378) (-716.294) (-748.177) [-716.673] * [-709.025] (-751.300) (-743.894) (-711.498) -- 0:01:38
733000 -- (-743.863) (-706.291) (-752.614) [-708.361] * [-705.968] (-739.908) (-746.873) (-715.624) -- 0:01:38
734000 -- (-747.057) (-706.666) (-749.494) [-709.299] * [-710.581] (-750.123) (-742.901) (-725.640) -- 0:01:38
735000 -- (-753.616) (-713.047) (-745.142) [-713.195] * [-703.514] (-751.119) (-771.404) (-718.931) -- 0:01:38
Average standard deviation of split frequencies: 0.005916
736000 -- (-752.001) [-712.181] (-739.584) (-717.601) * (-713.004) (-745.489) (-746.108) [-710.675] -- 0:01:37
737000 -- (-744.968) (-713.148) (-747.417) [-713.379] * [-706.667] (-740.319) (-754.267) (-711.949) -- 0:01:37
738000 -- (-745.404) [-719.510] (-752.412) (-706.388) * (-706.794) (-738.279) (-748.269) [-705.742] -- 0:01:36
739000 -- (-749.580) (-711.070) (-751.967) [-713.230] * (-710.382) (-754.447) (-747.515) [-712.871] -- 0:01:36
740000 -- (-745.105) (-713.641) (-748.078) [-717.455] * (-708.747) (-744.106) (-756.054) [-703.845] -- 0:01:35
Average standard deviation of split frequencies: 0.006088
741000 -- (-755.739) [-710.138] (-744.706) (-711.446) * (-708.250) (-742.815) (-750.210) [-708.468] -- 0:01:35
742000 -- (-753.225) (-720.679) (-760.933) [-708.159] * (-718.472) (-748.305) (-744.846) [-702.030] -- 0:01:35
743000 -- (-755.176) (-714.660) (-742.243) [-707.195] * (-717.285) (-738.297) (-748.269) [-718.707] -- 0:01:35
744000 -- (-747.708) (-718.984) (-741.870) [-704.303] * (-725.026) (-739.756) (-765.242) [-706.399] -- 0:01:34
745000 -- (-742.450) (-716.890) (-757.061) [-708.679] * (-709.896) (-753.385) (-751.917) [-709.745] -- 0:01:34
Average standard deviation of split frequencies: 0.006181
746000 -- (-745.869) (-719.217) (-764.602) [-704.194] * (-708.113) (-760.126) (-750.760) [-715.969] -- 0:01:33
747000 -- (-756.441) (-723.542) (-753.311) [-703.602] * [-710.102] (-739.262) (-739.432) (-710.507) -- 0:01:33
748000 -- (-746.069) (-719.787) (-747.423) [-711.181] * [-701.402] (-755.625) (-751.581) (-717.281) -- 0:01:32
749000 -- (-744.395) [-707.454] (-744.690) (-713.135) * [-704.185] (-749.381) (-757.072) (-714.843) -- 0:01:32
750000 -- (-756.290) [-706.653] (-749.678) (-711.692) * (-712.178) (-747.071) (-748.408) [-711.397] -- 0:01:32
Average standard deviation of split frequencies: 0.006361
751000 -- (-750.729) [-710.673] (-758.696) (-712.016) * [-706.529] (-744.843) (-751.772) (-717.150) -- 0:01:32
752000 -- (-755.315) [-717.004] (-748.816) (-707.572) * [-708.089] (-752.239) (-747.692) (-709.595) -- 0:01:31
753000 -- (-743.302) [-715.820] (-756.989) (-711.475) * (-714.290) (-755.349) (-755.777) [-708.761] -- 0:01:31
754000 -- (-748.426) (-714.463) (-750.583) [-716.577] * (-716.685) (-743.752) (-751.667) [-703.225] -- 0:01:31
755000 -- (-747.034) (-714.836) (-755.854) [-710.817] * (-715.126) (-744.158) (-746.434) [-703.867] -- 0:01:30
Average standard deviation of split frequencies: 0.006530
756000 -- (-751.713) (-712.662) (-744.326) [-699.346] * (-710.264) (-752.882) (-750.518) [-700.466] -- 0:01:30
757000 -- (-759.700) [-701.461] (-756.082) (-715.478) * (-706.933) (-744.018) (-748.759) [-706.776] -- 0:01:29
758000 -- (-757.403) (-711.261) (-746.389) [-710.803] * (-709.404) (-745.649) (-758.050) [-701.419] -- 0:01:29
759000 -- (-741.200) (-711.886) (-756.881) [-711.500] * [-708.911] (-750.966) (-750.813) (-703.980) -- 0:01:28
760000 -- (-750.873) (-706.778) (-747.405) [-712.537] * (-708.173) (-750.561) (-751.569) [-705.676] -- 0:01:28
Average standard deviation of split frequencies: 0.006436
761000 -- (-749.613) [-708.877] (-745.460) (-711.169) * [-717.176] (-757.242) (-747.953) (-708.321) -- 0:01:28
762000 -- (-738.331) [-712.652] (-745.544) (-709.175) * [-712.412] (-754.658) (-741.399) (-712.757) -- 0:01:28
763000 -- (-744.615) [-703.578] (-754.013) (-710.800) * [-712.129] (-757.116) (-742.259) (-715.701) -- 0:01:27
764000 -- (-744.696) [-707.215] (-748.445) (-708.571) * (-707.911) (-751.302) (-745.469) [-714.696] -- 0:01:27
765000 -- (-751.529) [-707.622] (-757.214) (-712.394) * [-712.643] (-744.843) (-758.045) (-714.853) -- 0:01:26
Average standard deviation of split frequencies: 0.006473
766000 -- (-757.740) [-703.842] (-746.425) (-713.828) * (-719.660) (-753.056) (-755.506) [-713.851] -- 0:01:26
767000 -- (-750.376) [-707.024] (-758.653) (-706.386) * (-720.007) (-749.555) (-754.126) [-709.676] -- 0:01:25
768000 -- (-758.406) [-708.505] (-755.554) (-713.119) * (-721.461) (-747.963) (-750.914) [-702.939] -- 0:01:25
769000 -- (-761.607) [-714.241] (-742.230) (-721.210) * (-709.940) (-745.472) (-744.314) [-706.984] -- 0:01:25
770000 -- (-752.590) [-713.790] (-757.693) (-715.333) * [-723.179] (-737.431) (-746.396) (-703.635) -- 0:01:25
Average standard deviation of split frequencies: 0.006475
771000 -- (-747.065) [-711.756] (-745.650) (-715.012) * (-713.308) (-747.577) (-739.594) [-715.034] -- 0:01:24
772000 -- (-753.320) [-711.433] (-747.764) (-707.660) * (-724.046) (-747.802) (-742.934) [-707.440] -- 0:01:24
773000 -- (-744.107) [-713.626] (-753.607) (-714.215) * (-719.295) (-750.186) (-751.011) [-718.051] -- 0:01:23
774000 -- (-747.192) [-707.365] (-752.791) (-709.766) * (-719.333) (-747.115) (-753.324) [-719.590] -- 0:01:23
775000 -- (-742.606) (-714.559) (-751.360) [-712.037] * (-708.880) (-743.777) (-743.730) [-706.978] -- 0:01:23
Average standard deviation of split frequencies: 0.006327
776000 -- (-740.071) [-708.191] (-753.872) (-726.640) * (-713.273) (-754.360) (-739.031) [-715.550] -- 0:01:22
777000 -- (-749.056) [-711.097] (-753.733) (-725.856) * [-723.706] (-751.003) (-744.194) (-709.032) -- 0:01:22
778000 -- (-762.520) [-707.142] (-749.542) (-709.517) * [-712.923] (-747.010) (-755.456) (-715.118) -- 0:01:21
779000 -- (-757.944) [-703.480] (-760.888) (-708.439) * [-703.516] (-757.266) (-764.510) (-713.622) -- 0:01:21
780000 -- (-742.517) [-708.822] (-750.761) (-716.515) * [-706.427] (-746.017) (-757.195) (-703.485) -- 0:01:21
Average standard deviation of split frequencies: 0.006369
781000 -- (-746.568) [-712.755] (-748.350) (-705.355) * (-709.541) (-755.013) (-756.629) [-709.185] -- 0:01:21
782000 -- (-744.510) (-723.641) (-750.719) [-711.303] * [-707.885] (-748.222) (-754.342) (-716.626) -- 0:01:20
783000 -- (-750.422) (-719.218) (-746.132) [-712.649] * [-716.676] (-746.227) (-746.720) (-713.390) -- 0:01:20
784000 -- (-759.273) (-715.423) (-746.373) [-703.021] * [-718.611] (-749.740) (-750.376) (-710.406) -- 0:01:19
785000 -- (-746.966) (-707.304) (-751.042) [-705.534] * [-703.104] (-758.018) (-748.517) (-711.246) -- 0:01:19
Average standard deviation of split frequencies: 0.006145
786000 -- (-744.776) [-704.009] (-746.663) (-711.002) * (-702.192) (-749.939) (-749.668) [-710.231] -- 0:01:18
787000 -- (-743.400) (-708.206) (-743.446) [-709.720] * (-710.188) (-746.729) (-743.683) [-704.309] -- 0:01:18
788000 -- (-743.616) (-712.053) (-746.194) [-711.745] * (-714.245) (-756.672) (-744.023) [-708.951] -- 0:01:18
789000 -- (-748.889) (-712.609) (-743.597) [-719.153] * (-711.647) (-751.828) (-752.508) [-703.769] -- 0:01:18
790000 -- (-747.641) [-713.917] (-749.399) (-714.300) * [-713.763] (-748.006) (-744.155) (-700.394) -- 0:01:17
Average standard deviation of split frequencies: 0.006028
791000 -- (-752.102) (-710.389) (-744.881) [-703.950] * [-710.542] (-756.099) (-748.473) (-701.077) -- 0:01:17
792000 -- (-747.065) (-713.802) (-769.674) [-709.476] * (-727.464) (-749.203) (-744.298) [-711.910] -- 0:01:16
793000 -- (-751.544) [-708.766] (-752.594) (-710.012) * [-709.433] (-751.497) (-755.836) (-718.497) -- 0:01:16
794000 -- (-743.551) [-707.294] (-751.107) (-709.709) * (-712.724) (-753.475) (-750.825) [-712.992] -- 0:01:16
795000 -- (-753.257) [-704.657] (-744.029) (-718.650) * [-704.947] (-757.237) (-741.146) (-711.588) -- 0:01:15
Average standard deviation of split frequencies: 0.005831
796000 -- (-739.465) [-703.507] (-750.091) (-715.717) * [-705.435] (-749.053) (-748.255) (-710.199) -- 0:01:15
797000 -- (-748.456) [-715.625] (-746.725) (-708.414) * (-712.010) (-753.938) (-750.654) [-714.649] -- 0:01:14
798000 -- (-745.713) (-710.789) (-753.128) [-714.990] * [-710.900] (-744.537) (-746.006) (-721.278) -- 0:01:14
799000 -- (-747.411) (-713.999) (-754.055) [-710.639] * [-701.275] (-747.100) (-741.865) (-720.925) -- 0:01:14
800000 -- (-755.223) [-720.411] (-756.494) (-707.139) * [-709.439] (-755.915) (-744.179) (-715.407) -- 0:01:14
Average standard deviation of split frequencies: 0.006029
801000 -- (-758.153) [-716.772] (-751.650) (-719.969) * (-708.833) (-758.488) (-749.680) [-702.284] -- 0:01:13
802000 -- (-749.538) [-707.225] (-754.832) (-721.423) * (-714.355) (-749.137) (-747.256) [-703.925] -- 0:01:13
803000 -- (-744.807) (-707.068) (-745.693) [-715.077] * (-721.849) (-746.938) (-751.699) [-703.962] -- 0:01:12
804000 -- (-745.495) [-709.123] (-760.883) (-707.987) * (-711.807) (-754.823) (-754.036) [-707.486] -- 0:01:12
805000 -- (-772.264) (-706.791) (-748.218) [-704.880] * [-704.830] (-749.093) (-747.568) (-710.435) -- 0:01:11
Average standard deviation of split frequencies: 0.006076
806000 -- (-751.884) [-709.915] (-743.901) (-705.077) * [-716.110] (-743.192) (-744.538) (-723.297) -- 0:01:11
807000 -- (-745.829) (-712.693) (-750.492) [-709.384] * (-716.917) (-755.924) (-748.214) [-705.874] -- 0:01:11
808000 -- (-744.891) (-708.597) (-750.374) [-708.630] * [-716.336] (-748.526) (-754.433) (-706.116) -- 0:01:10
809000 -- (-748.745) (-707.815) (-744.856) [-706.094] * [-714.678] (-749.822) (-757.587) (-706.998) -- 0:01:10
810000 -- (-756.201) (-713.248) (-748.229) [-712.661] * (-720.105) (-749.494) (-752.598) [-714.591] -- 0:01:10
Average standard deviation of split frequencies: 0.006100
811000 -- (-748.896) (-708.184) (-754.536) [-714.165] * (-720.450) (-755.231) (-756.179) [-712.773] -- 0:01:09
812000 -- (-747.184) (-710.588) (-763.286) [-704.505] * [-709.322] (-743.476) (-743.947) (-714.341) -- 0:01:09
813000 -- (-745.562) [-710.042] (-757.950) (-713.431) * (-703.617) (-746.691) (-745.212) [-697.864] -- 0:01:09
814000 -- (-759.221) (-710.413) (-762.055) [-718.706] * (-719.511) (-755.533) (-754.931) [-706.812] -- 0:01:08
815000 -- (-759.112) [-709.174] (-743.593) (-715.439) * (-724.906) (-752.132) (-753.234) [-707.258] -- 0:01:08
Average standard deviation of split frequencies: 0.005908
816000 -- (-741.703) (-704.592) (-751.226) [-702.901] * (-710.705) (-751.656) (-756.996) [-707.738] -- 0:01:07
817000 -- (-744.897) [-710.373] (-754.861) (-717.433) * (-704.839) (-755.888) (-753.424) [-703.298] -- 0:01:07
818000 -- (-743.596) [-717.428] (-756.400) (-714.697) * (-713.822) (-757.063) (-746.425) [-708.091] -- 0:01:07
819000 -- (-750.873) [-711.173] (-745.022) (-709.847) * (-715.946) (-756.539) (-742.813) [-699.361] -- 0:01:06
820000 -- (-755.824) [-703.693] (-747.362) (-712.768) * [-712.255] (-754.283) (-753.128) (-716.452) -- 0:01:06
Average standard deviation of split frequencies: 0.005950
821000 -- (-738.670) (-716.082) (-749.133) [-723.765] * [-714.476] (-747.858) (-747.582) (-718.067) -- 0:01:06
822000 -- (-752.044) [-708.914] (-743.885) (-714.048) * (-717.760) (-750.798) (-747.042) [-712.606] -- 0:01:05
823000 -- (-760.373) [-703.451] (-759.944) (-722.190) * (-714.775) (-751.276) (-753.661) [-709.228] -- 0:01:05
824000 -- (-749.657) [-707.445] (-748.875) (-713.013) * [-711.297] (-752.382) (-748.405) (-718.834) -- 0:01:04
825000 -- (-756.847) [-702.439] (-746.589) (-712.831) * [-709.727] (-740.993) (-746.389) (-707.913) -- 0:01:04
Average standard deviation of split frequencies: 0.005998
826000 -- (-746.632) [-715.455] (-746.772) (-707.285) * [-705.716] (-735.181) (-748.206) (-712.597) -- 0:01:04
827000 -- (-747.809) (-710.533) (-742.295) [-707.085] * [-711.600] (-744.357) (-745.656) (-718.385) -- 0:01:04
828000 -- (-747.344) (-709.164) (-751.935) [-712.438] * [-711.890] (-750.967) (-746.919) (-715.793) -- 0:01:03
829000 -- (-741.413) (-711.969) (-766.684) [-708.829] * [-709.117] (-751.430) (-750.096) (-721.170) -- 0:01:03
830000 -- (-757.094) (-716.860) (-753.401) [-707.852] * (-715.314) (-742.125) (-750.257) [-721.035] -- 0:01:02
Average standard deviation of split frequencies: 0.006135
831000 -- (-744.649) (-718.663) (-748.044) [-703.932] * (-712.948) (-746.320) (-747.245) [-702.854] -- 0:01:02
832000 -- (-741.884) (-719.205) (-744.498) [-702.887] * (-712.970) (-753.822) (-750.686) [-704.276] -- 0:01:01
833000 -- (-753.458) [-724.291] (-751.865) (-711.205) * (-709.357) (-748.812) (-752.371) [-706.834] -- 0:01:01
834000 -- (-737.789) [-711.625] (-746.288) (-716.970) * [-711.980] (-747.421) (-746.039) (-710.249) -- 0:01:01
835000 -- (-745.278) (-712.647) (-750.082) [-709.029] * (-709.424) (-752.479) (-750.133) [-709.841] -- 0:01:00
Average standard deviation of split frequencies: 0.006064
836000 -- (-752.423) [-710.589] (-753.521) (-720.167) * [-706.834] (-745.585) (-747.288) (-712.174) -- 0:01:00
837000 -- (-755.731) (-711.702) (-753.328) [-701.302] * [-710.541] (-754.164) (-749.223) (-711.261) -- 0:01:00
838000 -- (-749.155) (-707.348) (-754.854) [-704.492] * (-709.775) (-741.655) (-742.847) [-710.773] -- 0:00:59
839000 -- (-753.993) (-712.516) (-747.047) [-712.885] * [-708.550] (-748.148) (-743.488) (-712.121) -- 0:00:59
840000 -- (-762.401) (-711.415) (-750.189) [-714.220] * [-701.702] (-754.277) (-757.601) (-718.144) -- 0:00:59
Average standard deviation of split frequencies: 0.006073
841000 -- (-741.105) (-704.169) (-754.516) [-716.154] * (-703.094) (-745.757) (-755.322) [-715.436] -- 0:00:58
842000 -- (-749.262) [-709.244] (-750.296) (-707.749) * [-719.101] (-754.747) (-758.015) (-706.169) -- 0:00:58
843000 -- (-744.813) [-706.129] (-743.251) (-711.286) * [-709.022] (-753.504) (-749.439) (-710.021) -- 0:00:57
844000 -- (-758.178) [-704.189] (-742.284) (-709.805) * [-701.808] (-744.114) (-760.202) (-722.225) -- 0:00:57
845000 -- (-754.705) [-703.258] (-745.253) (-712.280) * (-709.525) (-748.760) (-759.629) [-697.832] -- 0:00:57
Average standard deviation of split frequencies: 0.006024
846000 -- (-756.468) [-713.157] (-751.217) (-709.901) * (-718.042) (-754.783) (-748.940) [-707.367] -- 0:00:56
847000 -- (-754.072) (-710.469) (-750.025) [-703.251] * (-710.295) (-750.123) (-746.703) [-714.454] -- 0:00:56
848000 -- (-757.671) (-704.355) (-754.078) [-715.585] * (-711.311) (-742.784) (-747.477) [-713.364] -- 0:00:56
849000 -- (-746.301) [-708.296] (-748.154) (-717.662) * (-708.200) (-743.914) (-757.875) [-714.959] -- 0:00:55
850000 -- (-756.420) [-703.390] (-754.142) (-705.642) * (-705.516) (-744.266) (-745.346) [-709.993] -- 0:00:55
Average standard deviation of split frequencies: 0.006054
851000 -- (-750.308) (-707.226) (-744.149) [-701.486] * (-727.347) (-755.745) (-745.693) [-712.305] -- 0:00:54
852000 -- (-746.687) [-713.801] (-749.713) (-708.476) * (-728.181) (-751.882) (-758.863) [-702.866] -- 0:00:54
853000 -- (-748.702) [-711.145] (-753.326) (-713.887) * (-709.636) (-764.213) (-749.257) [-711.381] -- 0:00:54
854000 -- (-754.788) [-717.513] (-751.974) (-712.678) * [-706.919] (-748.294) (-747.034) (-713.626) -- 0:00:53
855000 -- (-745.548) [-712.928] (-752.834) (-716.950) * [-708.732] (-746.614) (-743.203) (-706.036) -- 0:00:53
Average standard deviation of split frequencies: 0.005808
856000 -- (-748.045) [-704.316] (-750.470) (-705.749) * (-710.469) (-750.000) (-750.572) [-708.575] -- 0:00:53
857000 -- (-757.462) (-708.614) (-745.266) [-713.739] * (-708.602) (-745.228) (-742.537) [-705.293] -- 0:00:52
858000 -- (-744.208) [-711.443] (-751.407) (-719.635) * (-714.412) (-757.740) (-749.022) [-711.961] -- 0:00:52
859000 -- (-742.632) (-714.974) (-751.451) [-714.368] * (-708.155) (-741.616) (-753.176) [-720.399] -- 0:00:52
860000 -- (-750.995) (-713.878) (-748.346) [-704.975] * (-718.934) (-758.683) (-746.813) [-710.457] -- 0:00:51
Average standard deviation of split frequencies: 0.005829
861000 -- (-748.036) (-717.400) (-752.022) [-707.721] * [-716.250] (-755.216) (-750.053) (-705.486) -- 0:00:51
862000 -- (-740.660) (-717.694) (-763.924) [-715.510] * (-710.190) (-744.439) (-760.187) [-707.059] -- 0:00:50
863000 -- (-739.810) (-710.731) (-745.519) [-705.907] * [-706.892] (-751.601) (-756.864) (-705.764) -- 0:00:50
864000 -- (-751.161) [-717.865] (-758.698) (-716.292) * [-706.344] (-748.824) (-743.861) (-708.915) -- 0:00:50
865000 -- (-753.483) [-709.774] (-746.484) (-709.377) * [-715.120] (-751.994) (-748.464) (-702.471) -- 0:00:49
Average standard deviation of split frequencies: 0.005947
866000 -- (-769.769) (-711.332) (-754.684) [-708.136] * [-708.862] (-739.563) (-754.153) (-718.799) -- 0:00:49
867000 -- (-743.531) [-703.989] (-745.491) (-710.063) * [-702.309] (-743.211) (-745.072) (-711.246) -- 0:00:49
868000 -- (-744.428) [-711.352] (-750.144) (-722.603) * [-707.056] (-746.064) (-753.812) (-715.325) -- 0:00:48
869000 -- (-744.281) [-708.997] (-741.210) (-706.999) * [-710.942] (-751.912) (-745.236) (-710.135) -- 0:00:48
870000 -- (-752.972) [-712.114] (-743.441) (-718.629) * [-715.194] (-745.932) (-753.082) (-698.294) -- 0:00:47
Average standard deviation of split frequencies: 0.005926
871000 -- (-746.364) [-706.823] (-748.034) (-709.058) * [-708.803] (-753.225) (-743.783) (-708.825) -- 0:00:47
872000 -- (-741.966) (-706.145) (-742.539) [-709.767] * [-709.511] (-748.737) (-750.127) (-709.619) -- 0:00:47
873000 -- (-747.905) (-703.300) (-742.183) [-712.172] * [-713.935] (-747.409) (-753.958) (-711.757) -- 0:00:46
874000 -- (-752.769) (-707.595) (-743.165) [-704.428] * [-706.269] (-740.379) (-742.041) (-721.307) -- 0:00:46
875000 -- (-751.957) (-711.351) (-748.585) [-713.916] * [-712.740] (-748.296) (-752.871) (-707.585) -- 0:00:46
Average standard deviation of split frequencies: 0.005830
876000 -- (-739.809) (-705.241) (-747.179) [-706.439] * [-722.345] (-743.398) (-741.012) (-713.089) -- 0:00:45
877000 -- (-756.471) [-701.172] (-741.224) (-707.641) * (-708.636) (-767.428) (-756.608) [-703.885] -- 0:00:45
878000 -- (-752.502) (-705.090) (-749.259) [-704.070] * (-708.657) (-748.662) (-750.537) [-712.716] -- 0:00:45
879000 -- (-751.318) [-713.295] (-751.661) (-719.545) * (-708.929) (-758.512) (-741.272) [-709.862] -- 0:00:44
880000 -- (-763.149) [-699.461] (-749.277) (-715.893) * (-706.854) (-748.249) (-748.864) [-707.540] -- 0:00:44
Average standard deviation of split frequencies: 0.006032
881000 -- (-752.348) [-712.429] (-754.377) (-709.471) * [-706.382] (-753.739) (-759.688) (-718.638) -- 0:00:44
882000 -- (-742.498) [-713.942] (-746.423) (-715.826) * [-720.632] (-747.489) (-746.683) (-701.173) -- 0:00:43
883000 -- (-738.826) [-716.366] (-756.953) (-713.253) * [-711.431] (-746.686) (-757.803) (-702.274) -- 0:00:43
884000 -- (-743.621) [-718.113] (-746.106) (-723.252) * [-714.721] (-741.319) (-750.990) (-709.528) -- 0:00:42
885000 -- (-753.300) (-709.287) (-745.035) [-711.387] * [-704.762] (-745.481) (-757.040) (-709.491) -- 0:00:42
Average standard deviation of split frequencies: 0.005949
886000 -- (-746.539) (-706.544) (-748.491) [-713.192] * [-705.674] (-746.242) (-754.018) (-714.224) -- 0:00:42
887000 -- (-748.590) (-706.292) (-761.440) [-707.317] * [-710.934] (-748.912) (-744.125) (-722.198) -- 0:00:41
888000 -- (-758.818) (-716.445) (-756.718) [-710.387] * [-711.891] (-753.263) (-750.780) (-707.318) -- 0:00:41
889000 -- (-753.416) (-705.363) (-742.994) [-708.949] * [-724.763] (-747.969) (-751.057) (-712.844) -- 0:00:40
890000 -- (-741.348) [-710.596] (-743.922) (-716.411) * (-708.691) (-756.133) (-740.781) [-707.166] -- 0:00:40
Average standard deviation of split frequencies: 0.006042
891000 -- (-760.835) [-709.617] (-746.445) (-716.142) * [-708.928] (-762.058) (-748.356) (-709.627) -- 0:00:40
892000 -- (-747.538) [-713.434] (-763.159) (-708.761) * [-705.561] (-752.962) (-750.340) (-714.980) -- 0:00:39
893000 -- (-748.580) [-707.083] (-744.431) (-716.662) * (-716.003) (-744.246) (-751.858) [-711.170] -- 0:00:39
894000 -- (-754.601) (-712.321) (-746.927) [-715.212] * (-711.360) (-747.786) (-749.298) [-714.273] -- 0:00:39
895000 -- (-750.497) (-730.275) (-749.132) [-710.844] * (-714.601) (-745.469) (-762.404) [-705.057] -- 0:00:38
Average standard deviation of split frequencies: 0.005899
896000 -- (-753.834) (-714.205) (-742.524) [-707.037] * (-709.394) (-747.318) (-753.821) [-714.283] -- 0:00:38
897000 -- (-758.646) [-711.323] (-762.434) (-721.525) * [-705.605] (-751.374) (-744.116) (-709.353) -- 0:00:38
898000 -- (-744.886) [-714.623] (-752.313) (-707.364) * (-715.478) (-746.244) (-743.673) [-711.094] -- 0:00:37
899000 -- (-757.297) (-711.344) (-750.746) [-709.888] * (-704.279) (-751.321) (-742.481) [-707.212] -- 0:00:37
900000 -- (-751.674) (-709.786) (-744.907) [-715.639] * [-711.267] (-758.516) (-744.431) (-711.650) -- 0:00:37
Average standard deviation of split frequencies: 0.006039
901000 -- (-755.263) (-705.687) (-744.858) [-713.606] * [-708.438] (-746.024) (-752.602) (-705.533) -- 0:00:36
902000 -- (-749.862) (-706.290) (-750.372) [-711.000] * [-711.933] (-767.858) (-752.187) (-708.701) -- 0:00:36
903000 -- (-753.077) [-701.990] (-747.439) (-711.789) * (-709.147) (-742.320) (-758.475) [-709.312] -- 0:00:35
904000 -- (-745.660) (-708.096) (-744.928) [-706.992] * (-709.150) (-740.957) (-753.187) [-696.753] -- 0:00:35
905000 -- (-750.721) [-711.197] (-753.886) (-706.873) * (-712.664) (-745.163) (-749.728) [-707.621] -- 0:00:35
Average standard deviation of split frequencies: 0.006094
906000 -- (-752.972) (-702.561) (-766.120) [-710.200] * (-704.778) (-744.140) (-759.684) [-706.424] -- 0:00:34
907000 -- (-747.965) (-714.451) (-760.081) [-701.189] * (-730.800) (-742.136) (-754.728) [-707.962] -- 0:00:34
908000 -- (-751.257) [-710.857] (-754.879) (-719.541) * (-720.868) (-750.502) (-744.433) [-713.972] -- 0:00:34
909000 -- (-753.597) [-706.462] (-743.086) (-722.081) * (-727.203) (-760.666) (-752.610) [-719.646] -- 0:00:33
910000 -- (-743.447) [-708.786] (-740.954) (-722.473) * (-707.286) (-747.158) (-749.443) [-716.636] -- 0:00:33
Average standard deviation of split frequencies: 0.006092
911000 -- (-746.696) [-712.218] (-746.565) (-711.971) * [-715.913] (-756.059) (-752.354) (-716.564) -- 0:00:32
912000 -- (-747.947) [-703.704] (-752.640) (-726.024) * [-699.739] (-747.021) (-746.952) (-717.551) -- 0:00:32
913000 -- (-746.206) (-705.298) (-762.063) [-708.174] * (-720.778) (-741.625) (-750.015) [-717.796] -- 0:00:32
914000 -- (-753.484) [-710.531] (-744.784) (-709.869) * [-703.695] (-758.887) (-739.154) (-711.039) -- 0:00:31
915000 -- (-745.898) [-710.069] (-753.682) (-714.525) * [-705.180] (-741.269) (-744.721) (-705.122) -- 0:00:31
Average standard deviation of split frequencies: 0.005859
916000 -- (-742.781) [-712.880] (-748.728) (-710.501) * [-708.557] (-746.214) (-749.569) (-711.801) -- 0:00:30
917000 -- (-750.941) [-712.240] (-758.365) (-716.196) * [-702.134] (-747.341) (-754.380) (-714.620) -- 0:00:30
918000 -- (-749.340) [-717.455] (-759.252) (-714.911) * [-711.267] (-745.456) (-741.933) (-719.619) -- 0:00:30
919000 -- (-740.006) [-711.490] (-750.334) (-709.402) * [-703.668] (-738.892) (-751.813) (-719.953) -- 0:00:29
920000 -- (-742.222) (-714.990) (-752.229) [-716.177] * [-705.879] (-750.453) (-752.856) (-715.224) -- 0:00:29
Average standard deviation of split frequencies: 0.005903
921000 -- (-746.440) [-704.244] (-751.482) (-713.038) * [-705.186] (-741.830) (-745.428) (-718.999) -- 0:00:29
922000 -- (-750.424) [-705.982] (-758.575) (-719.619) * (-703.315) (-753.045) (-751.322) [-714.250] -- 0:00:28
923000 -- (-744.688) (-707.866) (-759.648) [-709.244] * (-718.703) (-741.780) (-746.668) [-711.801] -- 0:00:28
924000 -- (-748.672) (-713.999) (-762.575) [-709.218] * (-720.280) (-748.286) (-760.199) [-714.472] -- 0:00:28
925000 -- (-747.701) (-716.796) (-769.292) [-707.496] * (-704.039) (-751.808) (-740.385) [-706.128] -- 0:00:27
Average standard deviation of split frequencies: 0.005926
926000 -- (-752.382) (-708.802) (-758.495) [-712.524] * (-710.737) (-758.435) (-732.300) [-710.474] -- 0:00:27
927000 -- (-756.920) (-707.695) (-748.025) [-712.069] * (-710.485) (-756.156) (-753.038) [-710.759] -- 0:00:27
928000 -- (-755.440) (-710.781) (-757.232) [-709.404] * (-721.537) (-751.680) (-749.867) [-711.303] -- 0:00:26
929000 -- (-744.448) [-708.097] (-751.758) (-712.560) * (-720.379) (-751.783) (-764.711) [-707.686] -- 0:00:26
930000 -- (-745.351) (-710.968) (-745.416) [-722.578] * (-719.216) (-755.730) (-738.885) [-711.098] -- 0:00:25
Average standard deviation of split frequencies: 0.005906
931000 -- (-754.859) (-721.728) (-748.033) [-708.157] * (-709.886) (-745.841) (-744.100) [-710.205] -- 0:00:25
932000 -- (-749.106) (-732.524) (-743.864) [-709.142] * (-710.508) (-755.583) (-748.957) [-720.568] -- 0:00:25
933000 -- (-755.464) (-722.311) (-745.649) [-708.355] * (-710.406) (-745.174) (-752.504) [-715.338] -- 0:00:24
934000 -- (-751.647) [-711.805] (-745.664) (-714.324) * (-713.962) (-741.708) (-750.589) [-712.727] -- 0:00:24
935000 -- (-750.316) (-714.931) (-751.439) [-704.969] * (-713.501) (-754.573) (-746.376) [-721.066] -- 0:00:24
Average standard deviation of split frequencies: 0.005768
936000 -- (-750.454) (-712.091) (-752.743) [-709.399] * (-715.728) (-758.444) (-747.444) [-708.984] -- 0:00:23
937000 -- (-744.837) [-709.272] (-758.179) (-721.835) * [-710.464] (-757.296) (-746.572) (-713.608) -- 0:00:23
938000 -- (-750.158) (-713.538) (-754.069) [-714.609] * [-717.671] (-748.525) (-756.023) (-723.289) -- 0:00:22
939000 -- (-742.313) [-704.036] (-752.119) (-714.950) * [-715.940] (-752.492) (-754.992) (-705.847) -- 0:00:22
940000 -- (-752.216) (-711.546) (-749.810) [-715.090] * [-713.071] (-745.133) (-749.431) (-713.771) -- 0:00:22
Average standard deviation of split frequencies: 0.005493
941000 -- (-744.439) (-713.945) (-751.931) [-702.434] * [-709.323] (-744.641) (-752.656) (-729.139) -- 0:00:21
942000 -- (-751.962) [-701.102] (-752.371) (-707.351) * (-709.665) (-744.193) (-756.543) [-711.609] -- 0:00:21
943000 -- (-759.311) [-708.988] (-755.240) (-717.154) * [-709.001] (-750.928) (-756.226) (-710.950) -- 0:00:21
944000 -- (-763.751) [-708.352] (-739.159) (-719.660) * [-713.452] (-744.003) (-747.605) (-702.178) -- 0:00:20
945000 -- (-746.672) [-711.387] (-738.381) (-720.334) * (-715.796) (-746.852) (-753.965) [-701.698] -- 0:00:20
Average standard deviation of split frequencies: 0.005472
946000 -- (-743.422) [-708.639] (-742.708) (-721.643) * (-714.707) (-743.347) (-751.296) [-709.809] -- 0:00:19
947000 -- (-744.380) [-704.142] (-748.799) (-717.254) * (-726.793) (-743.062) (-748.746) [-712.480] -- 0:00:19
948000 -- (-748.677) [-707.165] (-749.097) (-709.419) * (-715.495) (-751.231) (-753.736) [-710.604] -- 0:00:19
949000 -- (-747.162) (-707.463) (-753.654) [-701.585] * [-709.285] (-758.661) (-767.831) (-711.608) -- 0:00:18
950000 -- (-758.770) [-707.110] (-752.522) (-704.615) * (-726.170) (-746.989) (-754.368) [-708.218] -- 0:00:18
Average standard deviation of split frequencies: 0.005500
951000 -- (-750.569) [-706.029] (-743.062) (-708.119) * [-699.197] (-747.430) (-746.889) (-721.679) -- 0:00:18
952000 -- (-760.954) (-708.515) (-750.093) [-704.377] * [-707.578] (-752.103) (-747.972) (-720.410) -- 0:00:17
953000 -- (-740.781) [-705.247] (-753.679) (-708.165) * [-702.539] (-759.466) (-752.847) (-715.802) -- 0:00:17
954000 -- (-749.076) [-710.760] (-750.196) (-707.988) * [-704.402] (-749.746) (-756.319) (-703.702) -- 0:00:17
955000 -- (-743.799) (-701.893) (-746.173) [-707.980] * [-712.000] (-756.995) (-754.218) (-710.388) -- 0:00:16
Average standard deviation of split frequencies: 0.005595
956000 -- (-751.254) (-726.422) (-757.446) [-708.753] * [-704.898] (-746.761) (-747.568) (-719.788) -- 0:00:16
957000 -- (-747.074) (-719.761) (-743.937) [-714.360] * (-721.434) (-756.447) (-746.563) [-703.847] -- 0:00:15
958000 -- (-749.644) (-714.606) (-742.937) [-719.101] * [-713.995] (-750.084) (-759.613) (-718.151) -- 0:00:15
959000 -- (-748.077) (-714.787) (-744.291) [-710.642] * (-721.967) (-756.215) (-753.035) [-700.637] -- 0:00:15
960000 -- (-757.360) (-722.838) (-749.081) [-710.635] * [-705.662] (-747.566) (-757.317) (-711.803) -- 0:00:14
Average standard deviation of split frequencies: 0.005500
961000 -- (-736.612) [-705.914] (-747.285) (-706.972) * [-714.544] (-742.082) (-746.478) (-709.987) -- 0:00:14
962000 -- (-741.657) [-716.673] (-741.187) (-710.899) * [-702.322] (-740.641) (-748.499) (-710.926) -- 0:00:14
963000 -- (-751.576) [-701.433] (-754.768) (-715.000) * (-711.424) (-750.906) (-751.523) [-711.298] -- 0:00:13
964000 -- (-745.343) [-711.685] (-758.802) (-710.714) * (-713.675) (-748.429) (-750.869) [-706.520] -- 0:00:13
965000 -- (-746.435) [-702.352] (-755.428) (-707.284) * (-703.741) (-750.161) (-751.401) [-709.833] -- 0:00:12
Average standard deviation of split frequencies: 0.005513
966000 -- (-747.514) [-706.081] (-753.814) (-708.575) * (-709.354) (-748.682) (-762.545) [-713.660] -- 0:00:12
967000 -- (-749.631) (-713.899) (-767.509) [-704.547] * (-712.470) (-747.413) (-752.608) [-714.135] -- 0:00:12
968000 -- (-751.669) [-711.143] (-755.639) (-719.390) * (-725.316) (-742.311) (-740.635) [-712.835] -- 0:00:11
969000 -- (-745.745) (-711.962) (-744.874) [-720.550] * (-711.039) (-748.666) (-757.761) [-720.274] -- 0:00:11
970000 -- (-753.424) [-707.645] (-766.056) (-722.187) * (-713.166) (-750.817) (-759.288) [-710.935] -- 0:00:11
Average standard deviation of split frequencies: 0.005461
971000 -- (-736.803) (-717.278) (-749.578) [-714.347] * (-716.711) (-744.419) (-767.215) [-710.443] -- 0:00:10
972000 -- (-748.791) (-724.215) (-749.835) [-712.342] * (-709.032) (-748.884) (-751.465) [-704.644] -- 0:00:10
973000 -- (-753.578) (-718.744) (-751.786) [-715.501] * (-727.944) (-752.072) (-752.999) [-705.536] -- 0:00:09
974000 -- (-752.799) (-718.393) (-743.618) [-708.111] * (-708.342) (-756.020) (-752.420) [-707.868] -- 0:00:09
975000 -- (-747.104) (-721.075) (-747.195) [-716.887] * (-719.551) (-751.509) (-753.430) [-706.669] -- 0:00:09
Average standard deviation of split frequencies: 0.005647
976000 -- (-744.109) (-708.398) (-750.956) [-708.721] * (-710.587) (-759.830) (-743.986) [-714.280] -- 0:00:08
977000 -- (-745.662) [-707.284] (-752.065) (-708.954) * (-716.863) (-745.017) (-750.607) [-703.966] -- 0:00:08
978000 -- (-752.325) [-705.301] (-756.609) (-710.276) * (-713.984) (-749.761) (-751.055) [-702.235] -- 0:00:08
979000 -- (-743.400) [-702.227] (-758.233) (-723.157) * (-709.331) (-751.009) (-757.037) [-712.456] -- 0:00:07
980000 -- (-753.462) [-713.185] (-743.704) (-716.598) * (-704.280) (-754.158) (-768.815) [-712.718] -- 0:00:07
Average standard deviation of split frequencies: 0.005438
981000 -- (-745.593) (-710.127) (-746.690) [-700.708] * (-702.013) (-751.236) (-750.212) [-710.554] -- 0:00:07
982000 -- (-751.866) (-711.942) (-744.633) [-704.829] * [-710.089] (-755.594) (-752.588) (-717.540) -- 0:00:06
983000 -- (-749.236) (-716.347) (-752.008) [-704.920] * (-712.732) (-748.222) (-759.474) [-712.550] -- 0:00:06
984000 -- (-754.618) (-724.969) (-746.151) [-706.914] * [-708.127] (-751.645) (-748.934) (-716.926) -- 0:00:05
985000 -- (-745.291) (-717.575) (-745.928) [-705.697] * (-710.228) (-741.192) (-741.054) [-713.558] -- 0:00:05
Average standard deviation of split frequencies: 0.005421
986000 -- (-743.064) [-707.411] (-747.139) (-723.210) * [-700.467] (-743.999) (-739.795) (-714.440) -- 0:00:05
987000 -- (-750.503) (-709.339) (-746.243) [-710.490] * (-710.079) (-754.435) (-749.193) [-703.199] -- 0:00:04
988000 -- (-748.688) (-707.190) (-749.011) [-709.921] * (-720.788) (-755.080) (-750.997) [-703.472] -- 0:00:04
989000 -- (-754.086) (-707.896) (-747.541) [-708.033] * (-710.316) (-745.614) (-744.915) [-711.158] -- 0:00:04
990000 -- (-746.523) [-718.796] (-749.829) (-713.429) * (-706.995) (-757.239) (-747.649) [-704.451] -- 0:00:03
Average standard deviation of split frequencies: 0.005486
991000 -- (-745.559) [-707.846] (-744.748) (-711.626) * [-709.337] (-758.594) (-748.991) (-713.428) -- 0:00:03
992000 -- (-741.191) [-709.474] (-754.938) (-717.114) * (-712.973) (-753.544) (-758.565) [-709.172] -- 0:00:02
993000 -- (-752.514) (-713.537) (-741.212) [-703.696] * (-714.704) (-748.884) (-759.107) [-703.412] -- 0:00:02
994000 -- (-746.495) (-702.980) (-750.117) [-713.945] * (-712.324) (-739.860) (-745.050) [-719.784] -- 0:00:02
995000 -- (-746.321) [-718.761] (-751.221) (-712.820) * (-704.842) (-750.839) (-753.941) [-712.010] -- 0:00:01
Average standard deviation of split frequencies: 0.005534
996000 -- (-743.557) (-713.259) (-750.658) [-711.318] * [-715.184] (-743.140) (-756.430) (-716.315) -- 0:00:01
997000 -- (-750.574) [-711.363] (-748.612) (-706.725) * (-710.398) (-745.505) (-734.546) [-709.395] -- 0:00:01
998000 -- (-761.633) (-719.725) (-748.613) [-710.672] * (-713.922) (-751.684) (-746.569) [-712.228] -- 0:00:00
999000 -- (-759.124) [-712.990] (-747.064) (-707.975) * (-718.409) (-741.980) (-744.464) [-712.899] -- 0:00:00
1000000 -- (-737.440) [-707.110] (-742.648) (-718.501) * [-707.707] (-741.639) (-755.049) (-705.883) -- 0:00:00
Average standard deviation of split frequencies: 0.005608
Analysis completed in 6 mins 9 seconds
Analysis used 369.27 seconds of CPU time
Likelihood of best state for "cold" chain of run 1 was -694.68
Likelihood of best state for "cold" chain of run 2 was -695.08
Acceptance rates for the moves in the "cold" chain of run 1:
With prob. (last 100) chain accepted proposals by move
61.1 % ( 54 %) Dirichlet(Revmat{all})
82.9 % ( 74 %) Slider(Revmat{all})
34.6 % ( 25 %) Dirichlet(Pi{all})
34.7 % ( 24 %) Slider(Pi{all})
80.8 % ( 61 %) Multiplier(Alpha{1,2})
68.7 % ( 34 %) Multiplier(Alpha{3})
84.5 % ( 70 %) Slider(Pinvar{all})
65.3 % ( 72 %) ExtSPR(Tau{all},V{all})
56.0 % ( 58 %) ExtTBR(Tau{all},V{all})
72.5 % ( 78 %) NNI(Tau{all},V{all})
38.4 % ( 33 %) ParsSPR(Tau{all},V{all})
27.7 % ( 26 %) Multiplier(V{all})
78.6 % ( 75 %) Nodeslider(V{all})
28.0 % ( 34 %) TLMultiplier(V{all})
Acceptance rates for the moves in the "cold" chain of run 2:
With prob. (last 100) chain accepted proposals by move
60.3 % ( 45 %) Dirichlet(Revmat{all})
82.7 % ( 75 %) Slider(Revmat{all})
35.4 % ( 36 %) Dirichlet(Pi{all})
35.3 % ( 27 %) Slider(Pi{all})
80.7 % ( 55 %) Multiplier(Alpha{1,2})
69.3 % ( 36 %) Multiplier(Alpha{3})
85.0 % ( 70 %) Slider(Pinvar{all})
65.0 % ( 64 %) ExtSPR(Tau{all},V{all})
55.8 % ( 65 %) ExtTBR(Tau{all},V{all})
72.3 % ( 80 %) NNI(Tau{all},V{all})
38.1 % ( 35 %) ParsSPR(Tau{all},V{all})
27.6 % ( 24 %) Multiplier(V{all})
78.9 % ( 82 %) Nodeslider(V{all})
27.4 % ( 30 %) TLMultiplier(V{all})
Chain swap information for run 1:
1 2 3 4
----------------------------------
1 | 0.23 0.00 0.00
2 | 166201 0.01 0.00
3 | 166629 167063 0.34
4 | 167358 166063 166686
Chain swap information for run 2:
1 2 3 4
----------------------------------
1 | 0.21 0.00 0.00
2 | 166623 0.01 0.00
3 | 166573 166593 0.35
4 | 166335 166826 167050
Upper diagonal: Proportion of successful state exchanges between chains
Lower diagonal: Number of attempted state exchanges between chains
Chain information:
ID -- Heat
-----------
1 -- 1.00 (cold chain)
2 -- 0.91
3 -- 0.83
4 -- 0.77
Heat = 1 / (1 + T * (ID - 1))
(where T = 0.10 is the temperature and ID is the chain number)
Setting burn-in to 2500
Summarizing parameters in files /data/mrbayes_input.nex.run1.p and /data/mrbayes_input.nex.run2.p
Writing summary statistics to file /data/mrbayes_input.nex.pstat
Using relative burnin ('relburnin=yes'), discarding the first 25 % of samples
Below are rough plots of the generation (x-axis) versus the log
probability of observing the data (y-axis). You can use these
graphs to determine what the burn in for your analysis should be.
When the log probability starts to plateau you may be at station-
arity. Sample trees and parameters after the log probability
plateaus. Of course, this is not a guarantee that you are at sta-
tionarity. Also examine the convergence diagnostics provided by
the 'sump' and 'sumt' commands for all the parameters in your
model. Remember that the burn in is the number of samples to dis-
card. There are a total of ngen / samplefreq samples taken during
a MCMC analysis.
Overlay plot for both runs:
(1 = Run number 1; 2 = Run number 2; * = Both runs)
+------------------------------------------------------------+ -706.26
| 1 2 2 2 |
| |
|1 11 1 2 2 1 2 1 |
| 2 2 1 1 2 |
| 2 2 11 * 1 22 1 2 |
|2 1 11 2 2 1 1 12 2 1 * |
| 2 1 2 * 2 1 1 22 2 1 2 |
| 1 2 2 21 1221 2 21 1 1 |
| 1 2 1 1 2 2 1 2 2 212 * |
| 1 1 1 2 2 1 111 21 2 1 *|
| * 21 1 1 1 2 |
| 2 2 2 1 1 |
| |
| 2 1 1 2 2 |
| 2 1 2 |
+------+-----+-----+-----+-----+-----+-----+-----+-----+-----+ -712.07
^ ^
250000 1000000
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -703.19 -723.49
2 -702.62 -720.98
--------------------------------------
TOTAL -702.86 -722.88
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.071554 0.000609 0.031372 0.118848 0.066702 249.66 460.50 1.000
r(A<->C){all} 0.047443 0.002108 0.000061 0.143547 0.033003 205.65 222.70 1.000
r(A<->G){all} 0.369725 0.010883 0.185455 0.579342 0.364672 78.63 79.24 1.000
r(A<->T){all} 0.022129 0.000465 0.000005 0.065063 0.016177 390.71 434.83 1.000
r(C<->G){all} 0.049648 0.002419 0.000040 0.151526 0.033923 131.48 133.52 1.000
r(C<->T){all} 0.463129 0.011066 0.264417 0.663237 0.460671 90.18 138.37 1.001
r(G<->T){all} 0.047927 0.001087 0.000412 0.111007 0.041068 289.98 336.23 1.002
pi(A){all} 0.248161 0.000474 0.206170 0.291312 0.248059 1012.21 1025.36 1.001
pi(C){all} 0.148911 0.000288 0.117113 0.182207 0.148354 940.43 983.96 1.000
pi(G){all} 0.239452 0.000427 0.198005 0.277497 0.238743 738.75 918.08 1.000
pi(T){all} 0.363475 0.000550 0.315593 0.407617 0.363062 900.82 942.57 1.003
alpha{1,2} 0.400466 0.438994 0.000468 1.712459 0.151900 406.44 423.74 1.000
alpha{3} 1.791556 1.558223 0.001470 4.200368 1.537731 569.28 775.92 1.000
pinvar{all} 0.513429 0.054434 0.067314 0.849455 0.565450 250.71 260.79 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
Setting sumt conformat to Simple
Setting urn-in to 2500
Summarizing trees in files "/data/mrbayes_input.nex.run1.t" and "/data/mrbayes_input.nex.run2.t"
Using relative burnin ('relburnin=yes'), discarding the first 25 % of sampled trees
Writing statistics to files /data/mrbayes_input.nex.<parts|tstat|vstat|trprobs|con>
Examining first file ...
Found one tree block in file "/data/mrbayes_input.nex.run1.t" with 2001 trees in last block
Expecting the same number of trees in the last tree block of all files
Tree reading status:
0 10 20 30 40 50 60 70 80 90 100
v-------v-------v-------v-------v-------v-------v-------v-------v-------v-------v
*********************************************************************************
Read a total of 4002 trees in 2 files (sampling 3002 of them)
(Each file contained 2001 trees of which 1501 were sampled)
General explanation:
In an unrooted tree, a taxon bipartition (split) is specified by removing a
branch, thereby dividing the species into those to the left and those to the
right of the branch. Here, taxa to one side of the removed branch are denoted
'.' and those to the other side are denoted '*'. Specifically, the '.' symbol
is used for the taxa on the same side as the outgroup.
In a rooted or clock tree, the tree is rooted using the model and not by
reference to an outgroup. Each bipartition therefore corresponds to a clade,
that is, a group that includes all the descendants of a particular branch in
the tree. Taxa that are included in each clade are denoted using '*', and
taxa that are not included are denoted using the '.' symbol.
The output first includes a key to all the bipartitions with frequency larger
or equual to (Minpartfreq) in at least one run. Minpartfreq is a parameter to
sumt command and currently it is set to 0.10. This is followed by a table
with statistics for the informative bipartitions (those including at least
two taxa), sorted from highest to lowest probability. For each bipartition,
the table gives the number of times the partition or split was observed in all
runs (#obs) and the posterior probability of the bipartition (Probab.), which
is the same as the split frequency. If several runs are summarized, this is
followed by the minimum split frequency (Min(s)), the maximum frequency
(Max(s)), and the standard deviation of frequencies (Stddev(s)) across runs.
The latter value should approach 0 for all bipartitions as MCMC runs converge.
This is followed by a table summarizing branch lengths, node heights (if a
clock model was used) and relaxed clock parameters (if a relaxed clock model
was used). The mean, variance, and 95 % credible interval are given for each
of these parameters. If several runs are summarized, the potential scale
reduction factor (PSRF) is also given; it should approach 1 as runs converge.
Node heights will take calibration points into account, if such points were
used in the analysis.
Note that Stddev may be unreliable if the partition is not present in all
runs (the last column indicates the number of runs that sampled the partition
if more than one run is summarized). The PSRF is not calculated at all if
the partition is not present in all runs.The PSRF is also sensitive to small
sample sizes and it should only be considered a rough guide to convergence
since some of the assumptions allowing one to interpret it as a true potential
scale reduction factor are violated in MrBayes.
List of taxa in bipartitions:
1 -- C1
2 -- C10
3 -- C11
4 -- C12
5 -- C13
6 -- C14
7 -- C15
8 -- C16
9 -- C17
10 -- C18
11 -- C19
12 -- C2
13 -- C20
14 -- C21
15 -- C22
16 -- C23
17 -- C24
18 -- C25
19 -- C26
20 -- C3
21 -- C4
22 -- C5
23 -- C6
24 -- C7
25 -- C8
26 -- C9
Key to taxon bipartitions (saved to file "/data/mrbayes_input.nex.parts"):
ID -- Partition
--------------------------------
1 -- .*************************
2 -- .*........................
3 -- ..*.......................
4 -- ...*......................
5 -- ....*.....................
6 -- .....*....................
7 -- ......*...................
8 -- .......*..................
9 -- ........*.................
10 -- .........*................
11 -- ..........*...............
12 -- ...........*..............
13 -- ............*.............
14 -- .............*............
15 -- ..............*...........
16 -- ...............*..........
17 -- ................*.........
18 -- .................*........
19 -- ..................*.......
20 -- ...................*......
21 -- ....................*.....
22 -- .....................*....
23 -- ......................*...
24 -- .......................*..
25 -- ........................*.
26 -- .........................*
27 -- ..*..*...*..........*.....
28 -- ...**.**...*...........**.
29 -- .*.......................*
30 -- ......*................*..
31 -- ........*.*.*******.......
32 -- .*.**.***.**********.*****
33 -- ........*...*******.......
34 -- .....*...*..........*.....
35 -- .....*..............*.....
36 -- ..*..*..............*.....
37 -- ..*.................*.....
38 -- .....*...*................
39 -- .........*..........*.....
40 -- ..*......*..........*.....
41 -- ..*......*................
42 -- ..*..*....................
43 -- ..*..*...*................
44 -- ....*...................*.
45 -- ...**..*...*............*.
46 -- ....*..*..................
47 -- .....................**...
48 -- ...........*............*.
49 -- ...*...*..................
50 -- ...**.*....*...........**.
51 -- ....*......*..............
52 -- .*.................*.....*
53 -- ....*.**...*...........**.
54 -- ...**.**...*...........*..
55 -- ...*..*................*..
56 -- .*......*.*.*******......*
57 -- ...**.**...*.........*.**.
58 -- ...*..**...*...........**.
59 -- .*.**.**...*...........***
60 -- ...................*.*....
61 -- ...*.......*..............
62 -- .......*................*.
63 -- ...................*..*...
64 -- ...**.....................
65 -- ......*................**.
66 -- ....*.*................*..
67 -- ...**.**...*.......*...**.
68 -- ...*....................*.
69 -- .......*...*..............
70 -- ...**.**...............**.
71 -- .*......*.*.********.**..*
72 -- ...**.***.*********....**.
73 -- .*...................*...*
74 -- ......*....*...........*..
75 -- ...**.**...*..........***.
76 -- ........*.*.********......
77 -- ........*.*.*******..*....
78 -- .*.**.***.**********.*.***
--------------------------------
Summary statistics for informative taxon bipartitions
(saved to file "/data/mrbayes_input.nex.tstat"):
ID #obs Probab. Sd(s)+ Min(s) Max(s) Nruns
----------------------------------------------------------------
27 3002 1.000000 0.000000 1.000000 1.000000 2
28 3002 1.000000 0.000000 1.000000 1.000000 2
29 2887 0.961692 0.000471 0.961359 0.962025 2
30 2772 0.923384 0.000000 0.923384 0.923384 2
31 2683 0.893738 0.008951 0.887408 0.900067 2
32 2537 0.845103 0.004240 0.842105 0.848101 2
33 2217 0.738508 0.006124 0.734177 0.742838 2
34 646 0.215190 0.004711 0.211859 0.218521 2
35 630 0.209860 0.012248 0.201199 0.218521 2
36 613 0.204197 0.001413 0.203198 0.205197 2
37 612 0.203864 0.004711 0.200533 0.207195 2
38 597 0.198867 0.002355 0.197202 0.200533 2
39 589 0.196203 0.010835 0.188541 0.203864 2
40 589 0.196203 0.002355 0.194537 0.197868 2
41 585 0.194870 0.001413 0.193871 0.195869 2
42 575 0.191539 0.003298 0.189207 0.193871 2
43 568 0.189207 0.014133 0.179214 0.199201 2
44 357 0.118921 0.003298 0.116589 0.121252 2
45 351 0.116922 0.003298 0.114590 0.119254 2
46 349 0.116256 0.011777 0.107928 0.124584 2
47 345 0.114923 0.007066 0.109927 0.119920 2
48 345 0.114923 0.006124 0.110593 0.119254 2
49 337 0.112258 0.008009 0.106596 0.117921 2
50 336 0.111925 0.002827 0.109927 0.113924 2
51 336 0.111925 0.002827 0.109927 0.113924 2
52 335 0.111592 0.006124 0.107262 0.115923 2
53 335 0.111592 0.000471 0.111259 0.111925 2
54 332 0.110593 0.015075 0.099933 0.121252 2
55 331 0.110260 0.001413 0.109260 0.111259 2
56 330 0.109927 0.006595 0.105263 0.114590 2
57 329 0.109594 0.002355 0.107928 0.111259 2
58 323 0.107595 0.007066 0.102598 0.112592 2
59 322 0.107262 0.005653 0.103264 0.111259 2
60 321 0.106929 0.005182 0.103264 0.110593 2
61 321 0.106929 0.003298 0.104597 0.109260 2
62 320 0.106596 0.008480 0.100600 0.112592 2
63 320 0.106596 0.005653 0.102598 0.110593 2
64 316 0.105263 0.012248 0.096602 0.113924 2
65 313 0.104264 0.011777 0.095936 0.112592 2
66 313 0.104264 0.009893 0.097268 0.111259 2
67 311 0.103598 0.001413 0.102598 0.104597 2
68 310 0.103264 0.000942 0.102598 0.103931 2
69 307 0.102265 0.000471 0.101932 0.102598 2
70 306 0.101932 0.000000 0.101932 0.101932 2
71 304 0.101266 0.016017 0.089940 0.112592 2
72 303 0.100933 0.003298 0.098601 0.103264 2
73 303 0.100933 0.004240 0.097935 0.103931 2
74 302 0.100600 0.011306 0.092605 0.108594 2
75 300 0.099933 0.003769 0.097268 0.102598 2
76 297 0.098934 0.004240 0.095936 0.101932 2
77 291 0.096935 0.007066 0.091939 0.101932 2
78 284 0.094604 0.015075 0.083944 0.105263 2
----------------------------------------------------------------
+ Convergence diagnostic (standard deviation of split frequencies)
should approach 0.0 as runs converge.
Summary statistics for branch and node parameters
(saved to file "/data/mrbayes_input.nex.vstat"):
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median PSRF+ Nruns
-------------------------------------------------------------------------------------------
length{all}[1] 0.002230 0.000004 0.000025 0.005852 0.001720 1.000 2
length{all}[2] 0.001028 0.000001 0.000000 0.003150 0.000671 1.000 2
length{all}[3] 0.000980 0.000001 0.000000 0.003088 0.000616 1.000 2
length{all}[4] 0.001963 0.000003 0.000001 0.004901 0.001578 1.000 2
length{all}[5] 0.001029 0.000001 0.000000 0.003259 0.000650 1.001 2
length{all}[6] 0.001924 0.000002 0.000036 0.004836 0.001532 1.001 2
length{all}[7] 0.002124 0.000003 0.000033 0.005497 0.001670 1.000 2
length{all}[8] 0.002061 0.000003 0.000047 0.005284 0.001616 1.000 2
length{all}[9] 0.001012 0.000001 0.000000 0.003134 0.000658 1.000 2
length{all}[10] 0.000962 0.000001 0.000001 0.002992 0.000619 1.000 2
length{all}[11] 0.003442 0.000006 0.000144 0.008059 0.002904 1.000 2
length{all}[12] 0.000996 0.000001 0.000000 0.003035 0.000681 1.000 2
length{all}[13] 0.000951 0.000001 0.000000 0.002942 0.000631 1.000 2
length{all}[14] 0.001021 0.000001 0.000001 0.003056 0.000677 1.000 2
length{all}[15] 0.000996 0.000001 0.000001 0.003056 0.000659 1.000 2
length{all}[16] 0.000994 0.000001 0.000000 0.003093 0.000641 1.000 2
length{all}[17] 0.000997 0.000001 0.000000 0.003051 0.000676 1.000 2
length{all}[18] 0.002021 0.000002 0.000016 0.005029 0.001620 1.000 2
length{all}[19] 0.001997 0.000003 0.000074 0.005222 0.001579 1.000 2
length{all}[20] 0.001024 0.000001 0.000000 0.003244 0.000663 1.000 2
length{all}[21] 0.000997 0.000001 0.000000 0.003140 0.000665 1.000 2
length{all}[22] 0.003009 0.000004 0.000275 0.006898 0.002557 1.000 2
length{all}[23] 0.001036 0.000001 0.000000 0.003216 0.000679 1.000 2
length{all}[24] 0.001149 0.000002 0.000000 0.003689 0.000758 1.000 2
length{all}[25] 0.001033 0.000001 0.000000 0.003267 0.000676 1.000 2
length{all}[26] 0.001043 0.000001 0.000000 0.003213 0.000666 1.000 2
length{all}[27] 0.003269 0.000005 0.000138 0.007533 0.002735 1.000 2
length{all}[28] 0.004090 0.000006 0.000556 0.008847 0.003567 1.001 2
length{all}[29] 0.002033 0.000003 0.000005 0.005067 0.001605 1.001 2
length{all}[30] 0.001968 0.000002 0.000015 0.005003 0.001592 1.000 2
length{all}[31] 0.002348 0.000004 0.000086 0.006167 0.001800 1.000 2
length{all}[32] 0.002066 0.000003 0.000026 0.005533 0.001605 1.000 2
length{all}[33] 0.002063 0.000003 0.000046 0.005503 0.001617 1.001 2
length{all}[34] 0.000995 0.000001 0.000002 0.002946 0.000654 1.002 2
length{all}[35] 0.001009 0.000001 0.000004 0.003105 0.000697 0.999 2
length{all}[36] 0.000970 0.000001 0.000003 0.003014 0.000673 1.006 2
length{all}[37] 0.000977 0.000001 0.000003 0.002846 0.000676 0.999 2
length{all}[38] 0.001022 0.000001 0.000000 0.003186 0.000628 0.999 2
length{all}[39] 0.001034 0.000001 0.000001 0.003247 0.000650 1.000 2
length{all}[40] 0.001045 0.000001 0.000000 0.003432 0.000724 1.000 2
length{all}[41] 0.001041 0.000002 0.000004 0.003290 0.000612 0.999 2
length{all}[42] 0.000959 0.000001 0.000000 0.003097 0.000614 1.001 2
length{all}[43] 0.000990 0.000001 0.000002 0.003071 0.000654 1.004 2
length{all}[44] 0.001038 0.000001 0.000001 0.003110 0.000667 0.998 2
length{all}[45] 0.001081 0.000002 0.000001 0.003119 0.000692 0.997 2
length{all}[46] 0.001028 0.000001 0.000003 0.003316 0.000647 0.997 2
length{all}[47] 0.001042 0.000001 0.000002 0.003417 0.000639 0.998 2
length{all}[48] 0.000913 0.000001 0.000016 0.002536 0.000678 0.997 2
length{all}[49] 0.001061 0.000002 0.000000 0.003580 0.000625 0.997 2
length{all}[50] 0.000993 0.000001 0.000001 0.003182 0.000649 1.000 2
length{all}[51] 0.001004 0.000001 0.000000 0.003150 0.000601 0.997 2
length{all}[52] 0.001112 0.000002 0.000000 0.003384 0.000680 0.997 2
length{all}[53] 0.001170 0.000002 0.000001 0.003806 0.000721 0.997 2
length{all}[54] 0.001057 0.000001 0.000001 0.003203 0.000719 0.999 2
length{all}[55] 0.001037 0.000001 0.000002 0.003138 0.000669 1.006 2
length{all}[56] 0.001168 0.000002 0.000005 0.003787 0.000779 0.998 2
length{all}[57] 0.000979 0.000001 0.000005 0.002901 0.000670 0.997 2
length{all}[58] 0.000981 0.000001 0.000002 0.003591 0.000544 0.999 2
length{all}[59] 0.001026 0.000001 0.000002 0.003113 0.000697 0.997 2
length{all}[60] 0.001017 0.000001 0.000010 0.003300 0.000720 0.997 2
length{all}[61] 0.000958 0.000001 0.000001 0.003015 0.000666 0.999 2
length{all}[62] 0.001127 0.000001 0.000001 0.003540 0.000787 0.998 2
length{all}[63] 0.001085 0.000001 0.000001 0.003054 0.000802 1.014 2
length{all}[64] 0.000992 0.000001 0.000001 0.003032 0.000591 0.997 2
length{all}[65] 0.001024 0.000001 0.000005 0.002885 0.000702 0.997 2
length{all}[66] 0.000878 0.000001 0.000003 0.002699 0.000584 0.998 2
length{all}[67] 0.001096 0.000001 0.000004 0.003124 0.000716 0.997 2
length{all}[68] 0.001096 0.000002 0.000003 0.003263 0.000744 0.998 2
length{all}[69] 0.000979 0.000001 0.000002 0.003081 0.000617 0.997 2
length{all}[70] 0.000916 0.000001 0.000001 0.002503 0.000681 0.997 2
length{all}[71] 0.001021 0.000001 0.000009 0.002894 0.000766 0.998 2
length{all}[72] 0.001139 0.000002 0.000002 0.003611 0.000671 1.005 2
length{all}[73] 0.001003 0.000002 0.000009 0.003173 0.000557 0.997 2
length{all}[74] 0.001037 0.000001 0.000001 0.003566 0.000697 1.005 2
length{all}[75] 0.001086 0.000002 0.000001 0.003381 0.000715 0.999 2
length{all}[76] 0.000987 0.000001 0.000000 0.002817 0.000691 0.999 2
length{all}[77] 0.000981 0.000001 0.000001 0.003363 0.000605 1.003 2
length{all}[78] 0.001059 0.000002 0.000001 0.003480 0.000651 0.996 2
-------------------------------------------------------------------------------------------
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge. NA is reported when
deviation of parameter values within all runs is 0 or when a parameter
value (a branch length, for instance) is not sampled in all runs.
Summary statistics for partitions with frequency >= 0.10 in at least one run:
Average standard deviation of split frequencies = 0.005608
Maximum standard deviation of split frequencies = 0.016017
Average PSRF for parameter values (excluding NA and >10.0) = 1.000
Maximum PSRF for parameter values = 1.014
Clade credibility values:
/---------------------------------------------------------------------- C1 (1)
|
| /----------------- C11 (3)
| |
| |----------------- C14 (6)
|-------------------------100------------------------+
| |----------------- C18 (10)
| |
| \----------------- C4 (21)
|
| /----------------- C10 (2)
| /----------------96----------------+
| | \----------------- C9 (26)
| |
| | /----------------------------------- C12 (4)
| | |
+ | |----------------------------------- C13 (5)
| | |
| | | /----------------- C15 (7)
| | |--------92-------+
| |-------100------+ \----------------- C7 (24)
| | |
| | |----------------------------------- C16 (8)
| | |
| | |----------------------------------- C2 (12)
| | |
| | \----------------------------------- C8 (25)
| |
| | /----------------- C17 (9)
| | |
| | |----------------- C20 (13)
\--------85-------+ |
| |----------------- C21 (14)
| |
| |----------------- C22 (15)
| /--------74-------+
| | |----------------- C23 (16)
| | |
| | |----------------- C24 (17)
| | |
|-------89-------+ |----------------- C25 (18)
| | |
| | \----------------- C26 (19)
| |
| \----------------------------------- C19 (11)
|
|---------------------------------------------------- C3 (20)
|
|---------------------------------------------------- C5 (22)
|
\---------------------------------------------------- C6 (23)
Phylogram (based on average branch lengths):
/-------------- C1 (1)
|
| /----- C11 (3)
| |
| |------------- C14 (6)
|----------------------+
| |----- C18 (10)
| |
| \------ C4 (21)
|
| /------ C10 (2)
| /------------+
| | \------ C9 (26)
| |
| | /------------- C12 (4)
| | |
+ | |----- C13 (5)
| | |
| | | /-------------- C15 (7)
| | |------------+
| |-----------------------------+ \------ C7 (24)
| | |
| | |------------- C16 (8)
| | |
| | |----- C2 (12)
| | |
| | \----- C8 (25)
| |
| | /------ C17 (9)
| | |
| | |------ C20 (13)
\-------------+ |
| |------ C21 (14)
| |
| |------ C22 (15)
| /------------+
| | |------ C23 (16)
| | |
| | |------ C24 (17)
| | |
|--------------+ |-------------- C25 (18)
| | |
| | \-------------- C26 (19)
| |
| \------------------------ C19 (11)
|
|----- C3 (20)
|
|--------------------- C5 (22)
|
\----- C6 (23)
|-------| 0.001 expected changes per site
Calculating tree probabilities...
Credible sets of trees (3002 trees sampled):
50 % credible set contains 1501 trees
90 % credible set contains 2702 trees
95 % credible set contains 2852 trees
99 % credible set contains 2972 trees
Exiting mrbayes block
Reached end of file
Tasks completed, exiting program because mode is noninteractive
To return control to the command line after completion of file processing,
set mode to interactive with 'mb -i <filename>' (i is for interactive)
or use 'set mode=interactive'
-- Starting log on Sat Nov 05 01:39:45 GMT 2022 --
-- Iteration: /working_dir/input/2_modified/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result--
CLUSTAL FORMAT for T-COFFEE Version_12.00.7fb08c2 [http://www.tcoffee.org] [MODE: ], CPU=0.09 sec, SCORE=1000, Nseq=26, Len=135
C1 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C2 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C3 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C4 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C5 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPISNCIKMLSNGAG
C6 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C7 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C8 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C9 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C10 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C11 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C12 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C13 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C14 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C15 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C16 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C17 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C18 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C19 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C20 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C21 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C22 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C23 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C24 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C25 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
C26 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAG
*************************************:************
C1 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C2 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C3 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C4 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C5 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C6 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C7 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C8 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C9 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C10 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C11 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C12 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C13 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C14 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C15 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C16 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C17 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C18 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C19 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C20 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C21 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C22 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C23 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C24 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C25 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
C26 NGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVP
**************************************************
C1 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C2 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C3 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C4 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C5 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C6 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C7 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C8 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C9 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C10 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C11 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C12 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C13 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C14 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C15 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C16 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C17 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C18 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C19 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C20 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C21 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C22 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C23 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C24 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C25 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
C26 IGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
***********************************
-- Starting log on Sat Nov 05 04:16:27 GMT 2022 --
-- Iteration: /working_dir/pss_subsets/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/original_alignment/codeml,NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1--
CODONML in paml version 4.9h, March 2018
----------------------------------------------
Phe F TTT | Ser S TCT | Tyr Y TAT | Cys C TGT
TTC | TCC | TAC | TGC
Leu L TTA | TCA | *** * TAA | *** * TGA
TTG | TCG | TAG | Trp W TGG
----------------------------------------------
Leu L CTT | Pro P CCT | His H CAT | Arg R CGT
CTC | CCC | CAC | CGC
CTA | CCA | Gln Q CAA | CGA
CTG | CCG | CAG | CGG
----------------------------------------------
Ile I ATT | Thr T ACT | Asn N AAT | Ser S AGT
ATC | ACC | AAC | AGC
ATA | ACA | Lys K AAA | Arg R AGA
Met M ATG | ACG | AAG | AGG
----------------------------------------------
Val V GTT | Ala A GCT | Asp D GAT | Gly G GGT
GTC | GCC | GAC | GGC
GTA | GCA | Glu E GAA | GGA
GTG | GCG | GAG | GGG
----------------------------------------------
Nice code, uuh?
NSsites batch run (ncatG as in YNGP2000): 1 2 7 8
processing fasta file
reading seq# 1 C1 405 sites
reading seq# 2 C2 405 sites
reading seq# 3 C3 405 sites
reading seq# 4 C4 405 sites
reading seq# 5 C5 405 sites
reading seq# 6 C6 405 sites
reading seq# 7 C7 405 sites
reading seq# 8 C8 405 sites
reading seq# 9 C9 405 sites
reading seq#10 C10 405 sites
reading seq#11 C11 405 sites
reading seq#12 C12 405 sites
reading seq#13 C13 405 sites
reading seq#14 C14 405 sites
reading seq#15 C15 405 sites
reading seq#16 C16 405 sites
reading seq#17 C17 405 sites
reading seq#18 C18 405 sites
reading seq#19 C19 405 sites
reading seq#20 C20 405 sites
reading seq#21 C21 405 sites
reading seq#22 C22 405 sites
reading seq#23 C23 405 sites
reading seq#24 C24 405 sites
reading seq#25 C25 405 sites
reading seq#26 C26 405 sitesns = 26 ls = 405
Reading sequences, sequential format..
Reading seq # 1: C1
Reading seq # 2: C2
Reading seq # 3: C3
Reading seq # 4: C4
Reading seq # 5: C5
Reading seq # 6: C6
Reading seq # 7: C7
Reading seq # 8: C8
Reading seq # 9: C9
Reading seq #10: C10
Reading seq #11: C11
Reading seq #12: C12
Reading seq #13: C13
Reading seq #14: C14
Reading seq #15: C15
Reading seq #16: C16
Reading seq #17: C17
Reading seq #18: C18
Reading seq #19: C19
Reading seq #20: C20
Reading seq #21: C21
Reading seq #22: C22
Reading seq #23: C23
Reading seq #24: C24
Reading seq #25: C25
Reading seq #26: C26
Sequences read..
Counting site patterns.. 0:00
Compressing, 57 patterns at 135 / 135 sites (100.0%), 0:00
Collecting fpatt[] & pose[], 57 patterns at 135 / 135 sites (100.0%), 0:00
Counting codons..
2600 bytes for distance
55632 bytes for conP
5016 bytes for fhK
5000000 bytes for space
Model 1: NearlyNeutral
TREE # 1
(1, (11, 14, 18, 4), ((10, 9), (12, 13, (15, 7), 16, 2, 8), ((17, 20, 21, 22, 23, 24, 25, 26), 19), 3, 5, 6)); MP score: 21
222528 bytes for conP, adjusted
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
29
0.108711 0.054323 0.060553 0.032863 0.044707 0.015515 0.102022 0.064577 0.096587 0.054156 0.100472 0.031513 0.086381 0.041175 0.033081 0.019642 0.074579 0.088767 0.042995 0.054672 0.085925 0.100238 0.050234 0.036417 0.034733 0.094758 0.092581 0.094161 0.029391 0.042950 0.063637 0.036456 0.010765 0.300000 0.557020 0.501152
ntime & nrate & np: 33 2 36
Bounds (np=36):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.000001
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 1.000000
Qfactor_NS = 8.054945
np = 36
lnL0 = -876.429109
Iterating by ming2
Initial: fx= 876.429109
x= 0.10871 0.05432 0.06055 0.03286 0.04471 0.01551 0.10202 0.06458 0.09659 0.05416 0.10047 0.03151 0.08638 0.04117 0.03308 0.01964 0.07458 0.08877 0.04300 0.05467 0.08593 0.10024 0.05023 0.03642 0.03473 0.09476 0.09258 0.09416 0.02939 0.04295 0.06364 0.03646 0.01076 0.30000 0.55702 0.50115
1 h-m-p 0.0000 0.0001 584.3252 ++ 843.736781 m 0.0001 41 | 1/36
2 h-m-p 0.0000 0.0000 7728.9135 ++ 831.245502 m 0.0000 80 | 2/36
3 h-m-p 0.0000 0.0000 1348.6403 ++ 821.275076 m 0.0000 119 | 3/36
4 h-m-p 0.0000 0.0002 484.3594 ++ 792.449768 m 0.0002 158 | 4/36
5 h-m-p 0.0000 0.0000 493.2936 ++ 789.773133 m 0.0000 197 | 5/36
6 h-m-p 0.0000 0.0000 1403.4964 ++ 780.756951 m 0.0000 236 | 6/36
7 h-m-p 0.0000 0.0000 1703.3688 ++ 778.065166 m 0.0000 275 | 7/36
8 h-m-p 0.0000 0.0000 17560.2403 ++ 769.753430 m 0.0000 314 | 8/36
9 h-m-p 0.0000 0.0000 13607.8789 ++ 764.710033 m 0.0000 353 | 9/36
10 h-m-p 0.0000 0.0000 4256.0861 ++ 757.932534 m 0.0000 392 | 10/36
11 h-m-p 0.0000 0.0000 24271.3499 ++ 753.897565 m 0.0000 431 | 11/36
12 h-m-p 0.0000 0.0000 154459.7632 ++ 733.415971 m 0.0000 470 | 12/36
13 h-m-p 0.0000 0.0000 9639.0546 ++ 731.474646 m 0.0000 509 | 13/36
14 h-m-p 0.0000 0.0000 7527.2555 ++ 728.413093 m 0.0000 548 | 14/36
15 h-m-p 0.0000 0.0000 4065.9338 ++ 727.157933 m 0.0000 587 | 15/36
16 h-m-p 0.0000 0.0000 1937.6334 ++ 725.982296 m 0.0000 626 | 16/36
17 h-m-p 0.0000 0.0000 1538.6069 ++ 724.854990 m 0.0000 665 | 17/36
18 h-m-p 0.0000 0.0002 802.0932 ++CYCYYYYC 704.318165 7 0.0002 715 | 17/36
19 h-m-p 0.0000 0.0000 1313.1506 ++ 696.351433 m 0.0000 754 | 18/36
20 h-m-p 0.0000 0.0000 558.4184 +YYYYYCCCCC 692.821121 9 0.0000 807 | 18/36
21 h-m-p 0.0001 0.0003 146.7262 +YYYYYYYC 686.471696 7 0.0003 854 | 18/36
22 h-m-p 0.0000 0.0001 185.0109 YCYCCC 685.538348 5 0.0001 901 | 18/36
23 h-m-p 0.0000 0.0001 222.9304 +YCYCCC 684.625040 5 0.0001 949 | 18/36
24 h-m-p 0.0000 0.0000 684.9882 +YCYCCC 683.849222 5 0.0000 997 | 18/36
25 h-m-p 0.0000 0.0002 310.0224 +YCYCCC 681.993893 5 0.0001 1045 | 18/36
26 h-m-p 0.0001 0.0004 45.0115 YCYCCC 681.770726 5 0.0002 1092 | 18/36
27 h-m-p 0.0001 0.0036 65.4980 ++CYYCCC 678.221479 5 0.0026 1141 | 18/36
28 h-m-p 0.0000 0.0001 1990.5542 YCCCC 677.216142 4 0.0000 1187 | 18/36
29 h-m-p 0.0005 0.0023 101.0472 +YYYCCC 674.421218 5 0.0017 1234 | 18/36
30 h-m-p 0.0011 0.0056 30.9136 CCCCC 673.560821 4 0.0020 1281 | 18/36
31 h-m-p 0.0071 0.0357 1.7892 YCYCCC 672.582131 5 0.0181 1328 | 18/36
32 h-m-p 0.0251 0.2387 1.2932 +YCCC 671.674769 3 0.0642 1373 | 18/36
33 h-m-p 0.2384 1.3735 0.3484 +CYYCCC 665.204166 5 1.1292 1421 | 18/36
34 h-m-p 0.0216 0.1078 3.5122 +CYCYYCCC 649.445850 7 0.1047 1491 | 17/36
35 h-m-p 0.0001 0.0005 30.1682 +YCC 649.346014 2 0.0004 1534 | 17/36
36 h-m-p 0.0003 0.0014 2.3814 ++ 649.291928 m 0.0014 1573 | 17/36
37 h-m-p -0.0000 -0.0000 2.8192
h-m-p: -2.26972284e-20 -1.13486142e-19 2.81921926e+00 649.291928
.. | 17/36
38 h-m-p 0.0000 0.0003 691.3405 +YYYCCC 644.179885 5 0.0000 1656 | 17/36
39 h-m-p 0.0000 0.0000 160.6572 ++ 643.282450 m 0.0000 1695 | 18/36
40 h-m-p 0.0000 0.0002 235.2246 +YCCYCCC 640.634053 6 0.0002 1746 | 18/36
41 h-m-p 0.0001 0.0004 147.0178 +YYCYCCC 638.277683 6 0.0003 1795 | 18/36
42 h-m-p 0.0001 0.0004 71.0243 YYCC 638.163965 3 0.0001 1838 | 18/36
43 h-m-p 0.0003 0.0018 14.8446 YCC 638.149245 2 0.0001 1880 | 17/36
44 h-m-p 0.0000 0.0008 44.3606 CCC 638.131244 2 0.0000 1923 | 17/36
45 h-m-p 0.0001 0.0008 21.6622 YC 638.105573 1 0.0002 1963 | 17/36
46 h-m-p 0.0002 0.0011 19.7312 CYC 638.088376 2 0.0002 2005 | 17/36
47 h-m-p 0.0002 0.0030 19.9665 YC 638.057615 1 0.0004 2045 | 17/36
48 h-m-p 0.0001 0.0033 71.8843 +CYC 637.942296 2 0.0005 2088 | 17/36
49 h-m-p 0.0001 0.0033 295.3577 ++YYYYC 636.013803 4 0.0019 2133 | 17/36
50 h-m-p 0.0001 0.0005 2820.3620 YCCCC 633.650586 4 0.0002 2179 | 17/36
51 h-m-p 0.0000 0.0002 1909.4191 CCCC 633.262461 3 0.0001 2224 | 17/36
52 h-m-p 0.0001 0.0005 193.9988 YYCC 633.216426 3 0.0001 2267 | 17/36
53 h-m-p 0.0002 0.0010 29.7047 CCC 633.209343 2 0.0001 2310 | 17/36
54 h-m-p 0.0001 0.0037 17.4496 +YC 633.191970 1 0.0004 2351 | 17/36
55 h-m-p 0.0001 0.0080 60.4663 ++CCCC 632.740303 3 0.0029 2398 | 17/36
56 h-m-p 0.0001 0.0004 1222.6186 +YCYCCC 631.967566 5 0.0002 2446 | 17/36
57 h-m-p 0.0001 0.0006 108.9645 YC 631.952746 1 0.0001 2486 | 17/36
58 h-m-p 0.0055 0.2358 1.0406 +++ 631.282277 m 0.2358 2526 | 18/36
59 h-m-p 0.1548 0.8730 1.5845 +YYCCC 630.254842 4 0.4934 2572 | 18/36
60 h-m-p 0.3601 1.8003 1.7372 YCYC 629.500239 3 0.6851 2615 | 18/36
61 h-m-p 0.2202 1.1008 1.7965 YCYCCC 628.837724 5 0.5416 2662 | 17/36
62 h-m-p 0.0005 0.0024 419.7450 CC 628.835439 1 0.0001 2703 | 17/36
63 h-m-p 0.0333 0.2486 1.1990 ++ 628.613883 m 0.2486 2742 | 18/36
64 h-m-p 0.1300 4.5394 2.2936 ++YYYC 627.620107 3 1.8910 2786 | 18/36
65 h-m-p 1.6000 8.0000 1.1533 CCCC 627.331369 3 1.2235 2831 | 18/36
66 h-m-p 0.3323 1.6617 2.3823 CYCCC 627.149323 4 0.6237 2877 | 17/36
67 h-m-p 0.0003 0.0016 1557.2260 YC 627.144844 1 0.0002 2917 | 17/36
68 h-m-p 0.1549 0.7746 1.8311 ++ 626.933841 m 0.7746 2956 | 18/36
69 h-m-p 0.7415 7.5921 1.9126 CCC 626.876262 2 0.5611 2999 | 18/36
70 h-m-p 0.1429 1.8993 7.5079 +YCC 626.783526 2 0.4073 3042 | 18/36
71 h-m-p 1.6000 8.0000 1.5180 CCC 626.697168 2 2.1984 3085 | 18/36
72 h-m-p 1.2565 6.3926 2.6560 YC 626.651294 1 0.9320 3125 | 18/36
73 h-m-p 1.2204 8.0000 2.0283 CCC 626.627460 2 1.5541 3168 | 18/36
74 h-m-p 1.6000 8.0000 1.3766 CC 626.620711 1 1.4730 3209 | 18/36
75 h-m-p 1.6000 8.0000 0.5949 YC 626.619787 1 1.2179 3249 | 18/36
76 h-m-p 1.6000 8.0000 0.1676 YC 626.619717 1 1.1675 3307 | 18/36
77 h-m-p 1.6000 8.0000 0.0110 C 626.619715 0 1.3598 3364 | 18/36
78 h-m-p 1.6000 8.0000 0.0044 C 626.619715 0 1.3716 3421 | 18/36
79 h-m-p 1.6000 8.0000 0.0009 C 626.619715 0 1.4769 3478 | 18/36
80 h-m-p 1.6000 8.0000 0.0002 C 626.619715 0 1.7816 3535 | 18/36
81 h-m-p 1.6000 8.0000 0.0001 Y 626.619715 0 1.0915 3592 | 18/36
82 h-m-p 1.6000 8.0000 0.0000 ++ 626.619715 m 8.0000 3649 | 18/36
83 h-m-p 1.0004 8.0000 0.0000 Y 626.619715 0 0.1919 3706 | 18/36
84 h-m-p 0.1402 8.0000 0.0000 Y 626.619715 0 0.1402 3763 | 18/36
85 h-m-p 0.1246 8.0000 0.0000 ---------------.. | 18/36
86 h-m-p 0.0160 8.0000 0.0009 --------Y 626.619715 0 0.0000 3898
Out..
lnL = -626.619715
3899 lfun, 11697 eigenQcodon, 257334 P(t)
end of tree file.
Time used: 1:12
Model 2: PositiveSelection
TREE # 1
(1, (11, 14, 18, 4), ((10, 9), (12, 13, (15, 7), 16, 2, 8), ((17, 20, 21, 22, 23, 24, 25, 26), 19), 3, 5, 6)); MP score: 21
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
29
0.043794 0.054164 0.092014 0.066374 0.027584 0.039581 0.107206 0.035947 0.053876 0.069866 0.076766 0.091297 0.105268 0.091553 0.107442 0.029948 0.029439 0.048000 0.061107 0.086604 0.097732 0.069544 0.072478 0.032626 0.072240 0.080355 0.065180 0.010183 0.054824 0.076678 0.077071 0.043257 0.066500 32.075891 1.761469 0.454018 0.230766 1.483653
ntime & nrate & np: 33 3 38
Bounds (np=38):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 -99.000000 -99.000000 0.000001 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000 1.000000 999.000000
Qfactor_NS = 0.710324
np = 38
lnL0 = -793.779063
Iterating by ming2
Initial: fx= 793.779063
x= 0.04379 0.05416 0.09201 0.06637 0.02758 0.03958 0.10721 0.03595 0.05388 0.06987 0.07677 0.09130 0.10527 0.09155 0.10744 0.02995 0.02944 0.04800 0.06111 0.08660 0.09773 0.06954 0.07248 0.03263 0.07224 0.08036 0.06518 0.01018 0.05482 0.07668 0.07707 0.04326 0.06650 32.07589 1.76147 0.45402 0.23077 1.48365
1 h-m-p 0.0000 0.0004 462.8541 +++ 724.946364 m 0.0004 44 | 1/38
2 h-m-p 0.0000 0.0000 505.9707 ++ 721.296738 m 0.0000 85 | 2/38
3 h-m-p 0.0000 0.0000 547.1959 ++ 719.056966 m 0.0000 126 | 3/38
4 h-m-p 0.0000 0.0000 70174.3720 ++ 712.120896 m 0.0000 167 | 4/38
5 h-m-p 0.0000 0.0001 773.0605 ++ 705.152915 m 0.0001 208 | 5/38
6 h-m-p 0.0000 0.0000 790.8799 ++ 700.211765 m 0.0000 249 | 6/38
7 h-m-p 0.0000 0.0001 537.3492 ++ 694.972336 m 0.0001 290 | 7/38
8 h-m-p 0.0000 0.0000 3409.1663 ++ 693.739784 m 0.0000 331 | 8/38
9 h-m-p 0.0000 0.0000 4245.0658 ++ 691.363429 m 0.0000 372 | 9/38
10 h-m-p 0.0000 0.0000 848.4430 ++ 691.021137 m 0.0000 413 | 10/38
11 h-m-p 0.0000 0.0000 3238.8078 ++ 690.126273 m 0.0000 454 | 11/38
12 h-m-p 0.0000 0.0000 39079.6273 ++ 690.096892 m 0.0000 495 | 12/38
13 h-m-p 0.0000 0.0000 2304.2855 ++ 690.022395 m 0.0000 536 | 13/38
14 h-m-p 0.0000 0.0000 38309.7506 ++ 688.173927 m 0.0000 577 | 14/38
15 h-m-p 0.0000 0.0000 2451.0822 ++ 687.749485 m 0.0000 618 | 15/38
16 h-m-p 0.0000 0.0000 1295.6337 ++ 685.873369 m 0.0000 659 | 16/38
17 h-m-p 0.0000 0.0000 920.9052 ++ 684.694909 m 0.0000 700 | 17/38
18 h-m-p 0.0003 0.0027 88.9881 +CYYYYYCCCC 678.541510 10 0.0024 757 | 17/38
19 h-m-p 0.0001 0.0007 143.3928 +YYCYCC 676.612585 5 0.0005 806 | 17/38
20 h-m-p 0.0001 0.0007 91.3563 YCCCCC 676.040978 5 0.0003 856 | 17/38
21 h-m-p 0.0006 0.0050 45.2642 +YCYCCC 672.211682 5 0.0038 907 | 17/38
22 h-m-p 0.0001 0.0007 192.6990 +YYCCCC 670.092627 5 0.0006 957 | 17/38
23 h-m-p 0.0001 0.0003 409.5365 +YYYYCC 667.850521 5 0.0003 1005 | 17/38
24 h-m-p 0.0003 0.0013 372.1354 +YYCCYC 657.093554 5 0.0012 1055 | 17/38
25 h-m-p 0.0000 0.0002 457.9534 +YYYCCC 655.549935 5 0.0002 1104 | 17/38
26 h-m-p 0.0002 0.0011 222.2668 +YYYYYCYCCC 651.982076 10 0.0009 1159 | 17/38
27 h-m-p 0.0003 0.0013 183.8700 +YYYCCC 649.637792 5 0.0009 1208 | 17/38
28 h-m-p 0.0011 0.0053 85.5274 ++ 641.860483 m 0.0053 1249 | 18/38
29 h-m-p 0.0010 0.0049 28.8448 YYC 641.833374 2 0.0008 1292 | 18/38
30 h-m-p 0.0089 0.2193 2.6927 ++YYCYCCC 638.292214 6 0.1646 1345 | 18/38
31 h-m-p 0.0093 0.0463 4.0810 YCYCCC 637.345371 5 0.0246 1394 | 18/38
32 h-m-p 0.0131 0.0657 6.8314 +YYCCCC 633.897686 5 0.0462 1444 | 18/38
33 h-m-p 0.0132 0.0661 2.7483 YCYCCC 633.204069 5 0.0346 1493 | 18/38
34 h-m-p 0.0497 1.0344 1.9126 ++YCCCC 630.012907 4 0.5515 1543 | 18/38
35 h-m-p 0.0345 0.1724 2.9509 YCCC 629.442412 3 0.0662 1589 | 18/38
36 h-m-p 0.0434 0.2172 1.6547 YCCC 628.869690 3 0.0857 1635 | 18/38
37 h-m-p 0.2298 1.3845 0.6171 +YCCCC 628.058734 4 0.6783 1684 | 18/38
38 h-m-p 0.1992 0.9958 0.6342 YCCCCC 627.618986 5 0.3884 1754 | 18/38
39 h-m-p 0.1622 0.8110 0.4364 CYCCC 627.368523 4 0.3261 1822 | 18/38
40 h-m-p 0.4748 2.4507 0.2997 CCCC 627.148280 3 0.7150 1889 | 18/38
41 h-m-p 0.7807 5.3209 0.2745 YCCC 627.067476 3 0.5265 1955 | 18/38
42 h-m-p 0.3284 5.2159 0.4401 YCCC 626.987279 3 0.7980 2021 | 17/38
43 h-m-p 0.0013 0.0070 278.7938 -YC 626.986299 1 0.0001 2084 | 17/38
44 h-m-p 0.0854 8.0000 0.1975 +YC 626.960945 1 0.8392 2127 | 17/38
45 h-m-p 0.5758 8.0000 0.2878 YCCC 626.929478 3 1.0459 2194 | 17/38
46 h-m-p 0.8063 8.0000 0.3733 CCC 626.896729 2 1.0730 2260 | 17/38
47 h-m-p 0.9858 8.0000 0.4063 CCC 626.872461 2 1.0509 2326 | 17/38
48 h-m-p 1.0099 8.0000 0.4228 CCC 626.851064 2 0.9842 2392 | 17/38
49 h-m-p 1.0880 8.0000 0.3825 CCC 626.825043 2 1.5070 2458 | 17/38
50 h-m-p 1.4955 8.0000 0.3854 YCC 626.810093 2 1.1878 2523 | 17/38
51 h-m-p 1.6000 8.0000 0.2399 CC 626.795192 1 1.4159 2587 | 17/38
52 h-m-p 1.2905 8.0000 0.2633 CCCC 626.760087 3 2.0182 2655 | 17/38
53 h-m-p 1.0074 5.0368 0.3852 CCCC 626.728303 3 1.4223 2723 | 17/38
54 h-m-p 0.7369 8.0000 0.7434 YC 626.695546 1 1.6185 2786 | 17/38
55 h-m-p 0.2041 1.0206 0.9260 ++ 626.650753 m 1.0206 2848 | 18/38
56 h-m-p 0.1947 8.0000 4.8536 CC 626.647387 1 0.0704 2912 | 18/38
57 h-m-p 0.5138 8.0000 0.6649 CCC 626.634288 2 0.7782 2957 | 18/38
58 h-m-p 1.6000 8.0000 0.1612 YC 626.633000 1 0.9072 3019 | 18/38
59 h-m-p 0.8964 8.0000 0.1632 YC 626.631821 1 1.7186 3081 | 18/38
60 h-m-p 0.8296 8.0000 0.3381 +YC 626.628570 1 2.7246 3144 | 18/38
61 h-m-p 1.6000 8.0000 0.3915 YC 626.623312 1 3.3189 3206 | 18/38
62 h-m-p 1.6000 8.0000 0.6478 CY 626.621346 1 1.8650 3269 | 18/38
63 h-m-p 1.6000 8.0000 0.6541 CC 626.620442 1 2.2948 3332 | 18/38
64 h-m-p 1.6000 8.0000 0.6914 CY 626.620017 1 1.9944 3395 | 18/38
65 h-m-p 1.6000 8.0000 0.6507 CC 626.619840 1 2.3975 3458 | 18/38
66 h-m-p 1.6000 8.0000 0.6537 C 626.619768 0 2.2097 3519 | 18/38
67 h-m-p 1.6000 8.0000 0.5956 C 626.619738 0 2.1887 3580 | 18/38
68 h-m-p 1.6000 8.0000 0.6020 C 626.619725 0 2.5045 3641 | 18/38
69 h-m-p 1.6000 8.0000 0.6025 C 626.619719 0 2.2695 3702 | 18/38
70 h-m-p 1.6000 8.0000 0.5902 C 626.619716 0 2.4924 3763 | 18/38
71 h-m-p 1.6000 8.0000 0.6028 C 626.619715 0 2.3142 3824 | 18/38
72 h-m-p 1.6000 8.0000 0.5949 C 626.619715 0 2.4833 3885 | 18/38
73 h-m-p 1.6000 8.0000 0.6009 C 626.619715 0 2.3372 3946 | 18/38
74 h-m-p 1.6000 8.0000 0.6357 Y 626.619715 0 2.7223 4007 | 18/38
75 h-m-p 1.6000 8.0000 0.6153 C 626.619715 0 1.8854 4068 | 18/38
76 h-m-p 1.3073 8.0000 0.8874 Y 626.619715 0 2.3371 4129 | 18/38
77 h-m-p 1.6000 8.0000 1.1704 Y 626.619715 0 0.6688 4190 | 18/38
78 h-m-p 1.0012 8.0000 0.7819 C 626.619715 0 1.0012 4231 | 18/38
79 h-m-p 1.6000 8.0000 0.0005 Y 626.619715 0 0.2424 4292 | 18/38
80 h-m-p 0.1187 8.0000 0.0010 Y 626.619715 0 0.2793 4353 | 18/38
81 h-m-p 0.1229 8.0000 0.0022 +Y 626.619715 0 0.3677 4415 | 18/38
82 h-m-p 0.2519 8.0000 0.0032 Y 626.619715 0 0.4539 4476 | 18/38
83 h-m-p 0.2656 8.0000 0.0055 Y 626.619715 0 0.6528 4537 | 18/38
84 h-m-p 0.3951 8.0000 0.0091 Y 626.619715 0 0.9641 4598 | 18/38
85 h-m-p 0.5386 8.0000 0.0162 +Y 626.619715 0 1.7327 4660 | 18/38
86 h-m-p 0.8059 8.0000 0.0349 +C 626.619715 0 3.8258 4722 | 18/38
87 h-m-p 1.2058 8.0000 0.1106 +C 626.619715 0 4.9732 4784 | 18/38
88 h-m-p 1.6000 8.0000 0.0811 C 626.619715 0 1.6235 4845 | 18/38
89 h-m-p 1.6000 8.0000 0.0350 C 626.619715 0 1.9814 4906 | 18/38
90 h-m-p 1.6000 8.0000 0.0334 --C 626.619715 0 0.0250 4969 | 18/38
91 h-m-p 0.0845 8.0000 0.0099 ++C 626.619715 0 1.9561 5032 | 18/38
92 h-m-p 1.6000 8.0000 0.0104 -----Y 626.619715 0 0.0004 5098 | 18/38
93 h-m-p 0.0442 8.0000 0.0001 -Y 626.619715 0 0.0012 5160 | 18/38
94 h-m-p 0.0160 8.0000 0.0007 -------------.. | 18/38
95 h-m-p 0.0160 8.0000 0.0006 ------------- | 18/38
96 h-m-p 0.0160 8.0000 0.0006 -------------
Out..
lnL = -626.619715
5377 lfun, 21508 eigenQcodon, 532323 P(t)
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 21 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -643.502513 S = -627.893903 -15.265729
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 57 patterns 3:41
did 20 / 57 patterns 3:41
did 30 / 57 patterns 3:41
did 40 / 57 patterns 3:41
did 50 / 57 patterns 3:41
did 57 / 57 patterns 3:41end of tree file.
Time used: 3:41
Model 7: beta
TREE # 1
(1, (11, 14, 18, 4), ((10, 9), (12, 13, (15, 7), 16, 2, 8), ((17, 20, 21, 22, 23, 24, 25, 26), 19), 3, 5, 6)); MP score: 21
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
29
0.052864 0.060520 0.097466 0.108396 0.107922 0.080650 0.019396 0.109866 0.080071 0.057726 0.083433 0.079304 0.076204 0.021172 0.080758 0.027942 0.056352 0.023991 0.076859 0.062793 0.042891 0.039289 0.041769 0.034883 0.038615 0.053579 0.094670 0.105362 0.083407 0.042807 0.080033 0.052919 0.054148 32.075260 1.020159 1.574876
ntime & nrate & np: 33 1 36
Bounds (np=36):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.005000 0.005000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 99.000000 99.000000
Qfactor_NS = 0.882706
np = 36
lnL0 = -804.808304
Iterating by ming2
Initial: fx= 804.808304
x= 0.05286 0.06052 0.09747 0.10840 0.10792 0.08065 0.01940 0.10987 0.08007 0.05773 0.08343 0.07930 0.07620 0.02117 0.08076 0.02794 0.05635 0.02399 0.07686 0.06279 0.04289 0.03929 0.04177 0.03488 0.03862 0.05358 0.09467 0.10536 0.08341 0.04281 0.08003 0.05292 0.05415 32.07526 1.02016 1.57488
1 h-m-p 0.0000 0.0003 395.6699 +++ 755.879874 m 0.0003 78 | 1/36
2 h-m-p 0.0000 0.0000 1257.8521 +CYYCCC 750.121176 5 0.0000 162 | 1/36
3 h-m-p 0.0000 0.0001 311.1523 +YYYYYYCCCC 747.352896 9 0.0001 249 | 1/36
4 h-m-p 0.0000 0.0000 13057.2806 +CYYCCC 743.265697 5 0.0000 332 | 1/36
5 h-m-p 0.0000 0.0000 676.0129 ++ 742.101927 m 0.0000 406 | 2/36
6 h-m-p 0.0000 0.0001 861.0579 +YCCYCCC 733.401002 6 0.0001 492 | 2/36
7 h-m-p 0.0000 0.0001 1100.2283 +YYYYCCCCC 728.838746 8 0.0000 578 | 2/36
8 h-m-p 0.0000 0.0000 7905.8130 ++ 726.488850 m 0.0000 651 | 3/36
9 h-m-p 0.0000 0.0000 2719.6958 +YYYYYCCCCC 723.175203 9 0.0000 738 | 3/36
10 h-m-p 0.0000 0.0000 8121.4195 ++ 719.557114 m 0.0000 810 | 4/36
11 h-m-p 0.0000 0.0000 12352.6341 ++ 717.920618 m 0.0000 882 | 5/36
12 h-m-p 0.0000 0.0000 1645.7659 ++ 714.089559 m 0.0000 953 | 6/36
13 h-m-p 0.0000 0.0000 17515.7426 ++ 698.111894 m 0.0000 1023 | 7/36
14 h-m-p 0.0000 0.0000 20600.3701 ++ 684.745281 m 0.0000 1092 | 8/36
15 h-m-p 0.0000 0.0001 1838.8523 ++ 671.963850 m 0.0001 1160 | 9/36
16 h-m-p 0.0000 0.0000 2287.9074 +YYYYCYCCCC 668.381734 9 0.0000 1241 | 9/36
17 h-m-p 0.0000 0.0000 4429.5219 +YCYCCC 663.632473 5 0.0000 1316 | 9/36
18 h-m-p 0.0000 0.0000 1157.6971 ++ 662.747704 m 0.0000 1382 | 10/36
19 h-m-p 0.0000 0.0000 1519.3301 ++ 662.237473 m 0.0000 1448 | 11/36
20 h-m-p 0.0000 0.0001 206.4069 ++ 658.629449 m 0.0001 1513 | 12/36
21 h-m-p 0.0000 0.0000 4420.8023 ++ 658.028510 m 0.0000 1577 | 13/36
22 h-m-p 0.0000 0.0000 586.0613 ++ 656.874361 m 0.0000 1640 | 14/36
23 h-m-p 0.0000 0.0000 240.4465 ++ 655.452965 m 0.0000 1702 | 15/36
24 h-m-p 0.0000 0.0000 667.6849 ++ 653.192278 m 0.0000 1763 | 16/36
25 h-m-p 0.0000 0.0001 113.6466 ++ 651.990367 m 0.0001 1823 | 17/36
26 h-m-p 0.0001 0.0050 51.6325 ++YYCYYCCC 643.419697 7 0.0045 1895 | 17/36
27 h-m-p 0.0012 0.0061 3.9528 CYCCC 642.989381 4 0.0022 1960 | 17/36
28 h-m-p 0.0006 0.0123 15.8750 ++YYYCYCCC 639.878841 7 0.0097 2030 | 17/36
29 h-m-p 0.0055 0.0298 28.1340 +YYC 637.045588 2 0.0179 2091 | 17/36
30 h-m-p 0.3085 1.5424 0.4399 CYCCC 635.624672 4 0.2677 2156 | 17/36
31 h-m-p 0.0459 0.2294 0.1297 +YYYCCC 634.045243 5 0.1638 2222 | 17/36
32 h-m-p 0.3914 1.9570 0.0511 YCYCCC 633.059322 5 0.9311 2288 | 17/36
33 h-m-p 0.1360 1.5939 0.3502 +YYCCCC 632.360264 5 0.5777 2355 | 17/36
34 h-m-p 0.2288 1.1440 0.4669 YCCC 631.540199 3 0.5002 2418 | 17/36
35 h-m-p 0.9432 4.7161 0.1657 YCCCC 631.106669 4 1.9695 2483 | 17/36
36 h-m-p 1.0693 8.0000 0.3053 CYCCC 630.926341 4 0.7418 2548 | 17/36
37 h-m-p 0.8370 4.1849 0.1592 CCCC 630.788580 3 1.1410 2612 | 17/36
38 h-m-p 1.6000 8.0000 0.0613 YCCC 630.615576 3 3.3058 2675 | 17/36
39 h-m-p 1.6000 8.0000 0.0341 CCCC 630.467288 3 2.2053 2739 | 17/36
40 h-m-p 1.6000 8.0000 0.0277 CC 630.425347 1 2.0549 2799 | 17/36
41 h-m-p 1.2332 8.0000 0.0462 +CC 630.361056 1 5.3864 2860 | 17/36
42 h-m-p 1.6000 8.0000 0.0496 YCCC 630.293371 3 2.7561 2923 | 17/36
43 h-m-p 1.6000 8.0000 0.0024 YCCC 630.218077 3 3.4929 2986 | 17/36
44 h-m-p 0.2765 8.0000 0.0306 ++YC 630.143549 1 2.9682 3047 | 17/36
45 h-m-p 1.1161 8.0000 0.0813 +YC 630.061009 1 3.0002 3107 | 17/36
46 h-m-p 1.6000 8.0000 0.0222 CCC 630.020046 2 2.6213 3169 | 17/36
47 h-m-p 1.6000 8.0000 0.0023 YCCC 629.947685 3 3.4046 3232 | 17/36
48 h-m-p 0.1233 8.0000 0.0646 ++CCC 629.872254 2 2.6018 3296 | 17/36
49 h-m-p 1.6000 8.0000 0.0742 YCC 629.786588 2 3.5274 3357 | 17/36
50 h-m-p 1.5097 8.0000 0.1734 YCCC 629.670565 3 3.4992 3420 | 17/36
51 h-m-p 1.6000 8.0000 0.1625 +YC 629.470566 1 5.2058 3480 | 17/36
52 h-m-p 1.6000 8.0000 0.2140 CCCC 629.335925 3 2.3937 3544 | 17/36
53 h-m-p 1.6000 8.0000 0.1416 +YC 629.199151 1 4.1281 3604 | 17/36
54 h-m-p 1.6000 8.0000 0.3010 CCC 629.044803 2 2.6033 3666 | 17/36
55 h-m-p 1.6000 8.0000 0.1443 +YCCC 628.848044 3 4.2714 3730 | 17/36
56 h-m-p 1.2009 8.0000 0.5131 YCCC 628.612408 3 2.6382 3793 | 17/36
57 h-m-p 1.0344 8.0000 1.3087 +YCC 628.218238 2 2.7934 3855 | 17/36
58 h-m-p 1.5344 7.6722 1.8194 CCCC 627.890417 3 2.4571 3919 | 17/36
59 h-m-p 1.6000 8.0000 2.1005 YCCC 627.617461 3 3.1616 3982 | 17/36
60 h-m-p 1.4469 8.0000 4.5899 YCC 627.260824 2 2.4623 4043 | 17/36
61 h-m-p 1.5013 7.5066 5.7008 CYCCC 626.964221 4 2.5483 4108 | 17/36
62 h-m-p 1.6000 8.0000 5.8284 CCC 626.859398 2 2.1407 4170 | 17/36
63 h-m-p 1.3325 6.6626 5.3343 YCC 626.808341 2 2.0719 4231 | 17/36
64 h-m-p 1.0592 5.2960 4.6240 +YC 626.763452 1 3.1434 4291 | 17/36
65 h-m-p 0.5837 2.9183 3.4106 +CC 626.740187 1 2.0240 4352 | 17/36
66 h-m-p 1.4484 7.2422 0.4211 CC 626.737712 1 1.2436 4412 | 17/36
67 h-m-p 1.6000 8.0000 0.0462 C 626.737391 0 1.6123 4470 | 17/36
68 h-m-p 0.4253 8.0000 0.1753 +C 626.737355 0 1.7716 4529 | 17/36
69 h-m-p 1.6000 8.0000 0.1012 Y 626.737340 0 3.3030 4587 | 17/36
70 h-m-p 1.6000 8.0000 0.0052 +C 626.737301 0 6.1312 4646 | 17/36
71 h-m-p 1.4890 8.0000 0.0215 ++ 626.736989 m 8.0000 4704 | 17/36
72 h-m-p 0.1980 8.0000 0.8690 +YC 626.735500 1 1.7061 4764 | 17/36
73 h-m-p 1.6000 8.0000 0.3619 YC 626.733899 1 3.4717 4823 | 17/36
74 h-m-p 1.6000 8.0000 0.2400 C 626.733842 0 1.4932 4881 | 17/36
75 h-m-p 1.6000 8.0000 0.0440 C 626.733834 0 1.4354 4939 | 17/36
76 h-m-p 1.6000 8.0000 0.0118 Y 626.733831 0 3.2982 4997 | 17/36
77 h-m-p 1.6000 8.0000 0.0051 ++ 626.733814 m 8.0000 5055 | 17/36
78 h-m-p 0.2102 8.0000 0.1958 +YC 626.733612 1 2.0016 5115 | 17/36
79 h-m-p 1.6000 8.0000 0.1028 ++ 626.732852 m 8.0000 5173 | 17/36
80 h-m-p 1.6000 8.0000 0.0681 Y 626.732842 0 1.1138 5231 | 17/36
81 h-m-p 1.6000 8.0000 0.0114 C 626.732842 0 1.2966 5289 | 17/36
82 h-m-p 1.6000 8.0000 0.0025 Y 626.732842 0 1.2597 5347 | 17/36
83 h-m-p 1.6000 8.0000 0.0003 C 626.732842 0 0.5437 5405 | 17/36
84 h-m-p 0.3175 8.0000 0.0005 +Y 626.732842 0 0.8717 5464 | 17/36
85 h-m-p 0.9479 8.0000 0.0005 Y 626.732842 0 1.7151 5522 | 17/36
86 h-m-p 1.6000 8.0000 0.0005 +Y 626.732842 0 4.5930 5581 | 17/36
87 h-m-p 1.6000 8.0000 0.0003 ++ 626.732842 m 8.0000 5639 | 17/36
88 h-m-p 1.1502 8.0000 0.0019 +Y 626.732842 0 2.9386 5698 | 17/36
89 h-m-p 0.3611 8.0000 0.0155 +++ 626.732840 m 8.0000 5757 | 17/36
90 h-m-p 0.0008 0.4237 228.8412 ++++YYYYYYYY 626.731798 7 0.2170 5826 | 17/36
91 h-m-p 0.1476 0.7379 70.0329 ---------------.. | 17/36
92 h-m-p 0.0000 0.0053 2.5828 +YC 626.731570 1 0.0001 5957 | 17/36
93 h-m-p 0.0003 0.0597 0.6466 Y 626.731544 0 0.0001 6015 | 17/36
94 h-m-p 0.0004 0.1816 0.2023 Y 626.731543 0 0.0001 6073 | 17/36
95 h-m-p 0.0007 0.3290 0.0920 C 626.731542 0 0.0002 6131 | 17/36
96 h-m-p 0.0019 0.9345 0.0350 -Y 626.731542 0 0.0002 6190 | 17/36
97 h-m-p 0.0041 2.0739 0.1089 C 626.731537 0 0.0036 6248 | 17/36
98 h-m-p 0.0002 0.0789 4.7965 Y 626.731516 0 0.0003 6306 | 17/36
99 h-m-p 0.0002 0.0486 7.7511 C 626.731497 0 0.0002 6364 | 17/36
100 h-m-p 0.0015 0.1380 0.9724 -Y 626.731496 0 0.0001 6423 | 17/36
101 h-m-p 0.0288 5.4109 0.0023 ---Y 626.731496 0 0.0001 6484 | 17/36
102 h-m-p 0.0160 8.0000 0.0003 -Y 626.731496 0 0.0006 6543
Out..
lnL = -626.731496
6544 lfun, 71984 eigenQcodon, 2159520 P(t)
end of tree file.
Time used: 13:46
Model 8: beta&w>1
TREE # 1
(1, (11, 14, 18, 4), ((10, 9), (12, 13, (15, 7), 16, 2, 8), ((17, 20, 21, 22, 23, 24, 25, 26), 19), 3, 5, 6)); MP score: 21
1 node(s) used for scaling (Yang 2000 J Mol Evol 51:423-432):
29
0.020939 0.087598 0.094610 0.042612 0.077858 0.080892 0.042145 0.030830 0.039119 0.099380 0.090580 0.071600 0.074204 0.096464 0.063933 0.035081 0.097154 0.025140 0.031281 0.048469 0.014022 0.095931 0.068026 0.074193 0.075701 0.010883 0.087389 0.057148 0.059557 0.078334 0.103048 0.033158 0.078311 32.277548 0.900000 0.981284 1.488693 1.300000
ntime & nrate & np: 33 2 38
Bounds (np=38):
0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000100 0.000010 0.005000 0.005000 1.000000
50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 50.000000 999.000000 0.999990 99.000000 99.000000 999.000000
Qfactor_NS = 0.747663
np = 38
lnL0 = -793.131637
Iterating by ming2
Initial: fx= 793.131637
x= 0.02094 0.08760 0.09461 0.04261 0.07786 0.08089 0.04214 0.03083 0.03912 0.09938 0.09058 0.07160 0.07420 0.09646 0.06393 0.03508 0.09715 0.02514 0.03128 0.04847 0.01402 0.09593 0.06803 0.07419 0.07570 0.01088 0.08739 0.05715 0.05956 0.07833 0.10305 0.03316 0.07831 32.27755 0.90000 0.98128 1.48869 1.30000
1 h-m-p 0.0000 0.0001 360.7217 ++ 773.855872 m 0.0001 81 | 1/38
2 h-m-p 0.0000 0.0000 5216.8683 ++ 748.089037 m 0.0000 160 | 2/38
3 h-m-p 0.0000 0.0000 5355.1690 ++ 737.369052 m 0.0000 238 | 3/38
4 h-m-p 0.0000 0.0000 8230.7225 ++ 730.333924 m 0.0000 315 | 4/38
5 h-m-p 0.0000 0.0000 9067.1594 ++ 722.945540 m 0.0000 391 | 5/38
6 h-m-p 0.0000 0.0000 3398.4189 ++ 685.090822 m 0.0000 466 | 6/38
7 h-m-p 0.0000 0.0000 6837.1683 ++ 677.395368 m 0.0000 540 | 7/38
8 h-m-p 0.0000 0.0000 23707.9193 ++ 676.340927 m 0.0000 613 | 8/38
9 h-m-p 0.0000 0.0000 14796.2199 ++ 675.747271 m 0.0000 685 | 9/38
10 h-m-p 0.0000 0.0000 2081.9267 ++ 672.744716 m 0.0000 756 | 10/38
11 h-m-p 0.0000 0.0000 5948.1371 ++ 672.363606 m 0.0000 826 | 11/38
12 h-m-p 0.0000 0.0000 766.6279 ++ 670.283260 m 0.0000 895 | 12/38
13 h-m-p 0.0000 0.0000 2461.4836 ++ 667.399304 m 0.0000 963 | 13/38
14 h-m-p 0.0000 0.0000 2351.6409 ++ 663.449230 m 0.0000 1030 | 14/38
15 h-m-p 0.0000 0.0000 1057.8582 ++ 663.230087 m 0.0000 1096 | 15/38
16 h-m-p 0.0000 0.0000 531.2239 ++ 661.624549 m 0.0000 1161 | 16/38
17 h-m-p 0.0000 0.0000 254.5128 ++ 661.189871 m 0.0000 1225 | 17/38
18 h-m-p 0.0000 0.0019 43.5384 ++CYYCCC 659.608232 5 0.0011 1298 | 17/38
19 h-m-p 0.0003 0.0015 61.1388 +YCYCCC 657.608374 5 0.0009 1369 | 17/38
20 h-m-p 0.0003 0.0014 43.9407 +YYCYCCC 656.560417 6 0.0009 1441 | 17/38
21 h-m-p 0.0000 0.0002 413.7050 +YYCCCC 655.452308 5 0.0001 1512 | 17/38
22 h-m-p 0.0001 0.0005 93.4024 CYCCC 655.211053 4 0.0002 1581 | 17/38
23 h-m-p 0.0002 0.0056 62.7961 +++ 646.975692 m 0.0056 1644 | 18/38
24 h-m-p 0.0009 0.0047 78.4309 +YYCYCCC 644.508572 6 0.0031 1716 | 18/38
25 h-m-p 0.0002 0.0010 182.4654 +YCYCCC 643.490787 5 0.0006 1786 | 18/38
26 h-m-p 0.0009 0.0044 47.2346 +CYCCC 641.380051 4 0.0038 1855 | 18/38
27 h-m-p 0.0001 0.0005 46.8312 ++ 641.021374 m 0.0005 1916 | 19/38
28 h-m-p 0.0013 0.0067 10.7983 YCCCC 640.552838 4 0.0029 1984 | 19/38
29 h-m-p 0.0029 0.0182 10.6757 +YYYYC 639.512106 4 0.0114 2049 | 19/38
30 h-m-p 0.0068 0.1078 17.8341 +CYCCC 635.493642 4 0.0532 2117 | 18/38
31 h-m-p 0.0005 0.0023 430.7598 CCCC 635.389873 3 0.0001 2183 | 18/38
32 h-m-p 0.0059 0.0297 5.7166 ++ 634.135596 m 0.0297 2244 | 19/38
33 h-m-p 0.1212 0.7229 1.4012 +YCCCC 632.874805 4 0.3499 2313 | 19/38
34 h-m-p 0.0776 0.3880 3.1776 YCCCC 632.121473 4 0.1599 2380 | 19/38
35 h-m-p 0.2557 1.2786 1.4302 YCCCC 630.657936 4 0.5845 2447 | 19/38
36 h-m-p 0.7319 3.6942 1.1422 CYCCC 630.028632 4 0.5333 2514 | 19/38
37 h-m-p 0.1597 0.7987 1.8521 CCCC 629.625914 3 0.2389 2580 | 18/38
38 h-m-p 0.0115 0.0574 19.5332 --CC 629.625433 1 0.0002 2644 | 18/38
39 h-m-p 0.0026 0.0724 1.7143 +++ 629.471438 m 0.0724 2706 | 19/38
40 h-m-p 0.0571 2.3564 2.1730 ++CYYCCC 627.858409 5 1.4259 2777 | 19/38
41 h-m-p 1.5555 7.7777 1.0946 CYCCC 627.501029 4 1.1950 2844 | 19/38
42 h-m-p 1.6000 8.0000 0.7456 YCCC 627.168125 3 3.0218 2909 | 18/38
43 h-m-p 0.0028 0.0141 430.0861 -CYC 627.162938 2 0.0002 2973 | 18/38
44 h-m-p 0.1044 7.9003 0.8166 ++YYC 626.970819 2 1.4439 3038 | 18/38
45 h-m-p 0.9537 4.7687 0.5454 CCCC 626.793439 3 1.4126 3105 | 18/38
46 h-m-p 1.6000 8.0000 0.0933 CCC 626.757049 2 1.3498 3170 | 18/38
47 h-m-p 0.7694 8.0000 0.1636 +CC 626.734437 1 3.2715 3234 | 18/38
48 h-m-p 1.3050 6.5248 0.1720 YCCC 626.710155 3 2.7391 3300 | 18/38
49 h-m-p 0.5271 2.6357 0.2647 +
QuantileBeta(0.15, 0.00500, 15.30904) = 1.391130e-161 2000 rounds
CC 626.675157 1 2.0971 3364 | 18/38
50 h-m-p 1.4290 7.1448 0.1294 YC 626.666732 1 0.7003 3426 | 18/38
51 h-m-p 0.2387 1.1933 0.2214 +
QuantileBeta(0.15, 0.00500, 15.52103) = 1.371508e-161 2000 rounds
YC 626.660951 1 1.0410 3489 | 18/38
52 h-m-p 1.6000 8.0000 0.0298 YC 626.656125 1 2.6704 3551 | 17/38
53 h-m-p 0.1285 0.6423 0.0416 +
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
+ 626.653043 m 0.6423 3612
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41440) = 1.381308e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41367) = 1.381376e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.41404) = 1.381342e-161 2000 rounds
| 18/38
54 h-m-p 0.4001 8.0000 0.0667
QuantileBeta(0.15, 0.00500, 15.41282) = 1.381454e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40918) = 1.381792e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 15.39461) = 1.383143e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40882) = 1.381825e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 15.40171) = 1.382484e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
Y 626.645272 1 1.6730 3677
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.430051e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40932) = 1.381778e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40860) = 1.381846e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.40896) = 1.381812e-161 2000 rounds
| 18/38
55 h-m-p 1.6000 8.0000 0.0218
QuantileBeta(0.15, 0.00500, 15.40097) = 1.382552e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.37701) = 1.384778e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 15.36903) = 1.385521e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38293) = 1.384228e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
C 626.633576 1 5.2367 3740
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.432561e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38318) = 1.384204e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38246) = 1.384272e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.38282) = 1.384238e-161 2000 rounds
| 18/38
56 h-m-p 1.3353 8.0000 0.0854
QuantileBeta(0.15, 0.00500, 15.49691) = 1.373713e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.83917) = 1.343077e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66596) = 1.358409e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
C 626.627862 1 3.3140 3802
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.405829e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66634) = 1.358374e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66561) = 1.358440e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.66598) = 1.358407e-161 2000 rounds
| 18/38
57 h-m-p 1.6000 8.0000 0.0644
QuantileBeta(0.15, 0.00500, 15.76574) = 1.349535e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 16.06502) = 1.323599e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81590) = 1.345117e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 15.94046) = 1.334271e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
C 626.624856 1 2.4187 3865
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.391995e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81715) = 1.345007e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81641) = 1.345072e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81678) = 1.345040e-161 2000 rounds
| 18/38
58 h-m-p 1.6000 8.0000 0.0228
QuantileBeta(0.15, 0.00500, 15.82543) = 1.344281e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.85138) = 1.342010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82900) = 1.343968e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 15.84019) = 1.342988e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
C 626.623862 1 2.2391 3928
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.390896e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82926) = 1.343945e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82852) = 1.344010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82889) = 1.343978e-161 2000 rounds
| 18/38
59 h-m-p 1.6000 8.0000 0.0217
QuantileBeta(0.15, 0.00500, 15.79743) = 1.346740e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70306) = 1.355096e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76683) = 1.349438e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
C 626.623120 1 3.1660 3990
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.396564e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76701) = 1.349422e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76627) = 1.349488e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.76664) = 1.349455e-161 2000 rounds
| 18/38
60 h-m-p 1.6000 8.0000 0.0165
QuantileBeta(0.15, 0.00500, 15.77041) = 1.349122e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78172) = 1.348124e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77383) = 1.348820e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
C 626.622353 1 3.0433 4052
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.395909e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77418) = 1.348789e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77344) = 1.348854e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77381) = 1.348822e-161 2000 rounds
| 18/38
61 h-m-p 1.6000 8.0000 0.0145
QuantileBeta(0.15, 0.00500, 15.75063) = 1.350871e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.68108) = 1.357057e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 15.65789) = 1.359131e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70443) = 1.354974e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
C 626.621659 1 4.7910 4115
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.402279e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70476) = 1.354944e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70402) = 1.355010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.70439) = 1.354977e-161 2000 rounds
| 18/38
62 h-m-p 1.6000 8.0000 0.0291
QuantileBeta(0.15, 0.00500, 15.65793) = 1.359128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.51854) = 1.371736e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60141) = 1.364212e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
C 626.620643 1 3.5455 4177
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.411834e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60180) = 1.364177e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60106) = 1.364243e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.60143) = 1.364210e-161 2000 rounds
| 18/38
63 h-m-p 1.6000 8.0000 0.0139
QuantileBeta(0.15, 0.00500, 15.60815) = 1.363604e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.62830) = 1.361788e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61337) = 1.363133e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
C 626.620089 1 2.8286 4239
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.410725e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61367) = 1.363106e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61294) = 1.363172e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61331) = 1.363139e-161 2000 rounds
| 18/38
64 h-m-p 1.6000 8.0000 0.0045
QuantileBeta(0.15, 0.00500, 15.61748) = 1.362762e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.63002) = 1.361634e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61932) = 1.362597e-161 2000 rounds
C
QuantileBeta(0.15, 0.00500, 15.62467) = 1.362115e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
C 626.619825 1 2.3057 4302
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.410164e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61969) = 1.362563e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61896) = 1.362629e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.61933) = 1.362596e-161 2000 rounds
| 18/38
65 h-m-p 0.9264 8.0000 0.0112
QuantileBeta(0.15, 0.00500, 15.62607) = 1.361989e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64631) = 1.360170e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 15.67758) = 1.357370e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64118) = 1.360631e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
C 626.619630 1 2.9978 4365
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.408132e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64152) = 1.360600e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64079) = 1.360666e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.64115) = 1.360633e-161 2000 rounds
| 18/38
66 h-m-p 1.4422 8.0000 0.0233
QuantileBeta(0.15, 0.00500, 15.67468) = 1.357629e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77525) = 1.348695e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 15.82711) = 1.344134e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74737) = 1.351160e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
C 626.619399 1 4.5669 4428
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.398334e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74768) = 1.351132e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74694) = 1.351198e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.74731) = 1.351165e-161 2000 rounds
| 18/38
67 h-m-p 1.6000 8.0000 0.0020
QuantileBeta(0.15, 0.00500, 15.74893) = 1.351022e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75378) = 1.350592e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
C 626.619155 1 3.0581 4490
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.398050e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75077) = 1.350858e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75003) = 1.350924e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.75040) = 1.350891e-161 2000 rounds
| 18/38
68 h-m-p 1.0629 8.0000 0.0057
QuantileBeta(0.15, 0.00500, 15.75610) = 1.350386e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.77322) = 1.348874e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 15.79333) = 1.347101e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
C 626.618925 1 5.7174 4553
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.395245e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78145) = 1.348148e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78071) = 1.348213e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.78108) = 1.348180e-161 2000 rounds
| 18/38
69 h-m-p 1.6000 8.0000 0.0117
QuantileBeta(0.15, 0.00500, 15.79018) = 1.347378e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81749) = 1.344978e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80094) = 1.346432e-161 2000 rounds
Y
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
C 626.618566 1 3.4874 4615
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.393437e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80129) = 1.346401e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80055) = 1.346466e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80092) = 1.346433e-161 2000 rounds
| 18/38
70 h-m-p 1.6000 8.0000 0.0049
QuantileBeta(0.15, 0.00500, 15.80615) = 1.345973e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.82185) = 1.344595e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
C 626.618505 0 1.5148 4676
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.392986e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80624) = 1.345965e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80550) = 1.346030e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80587) = 1.345998e-161 2000 rounds
| 18/38
71 h-m-p 1.6000 8.0000 0.0021
QuantileBeta(0.15, 0.00500, 15.80255) = 1.346290e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.79258) = 1.347167e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
C 626.618502 0 1.3119 4737
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.393234e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80352) = 1.346205e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80278) = 1.346270e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80315) = 1.346237e-161 2000 rounds
| 18/38
72 h-m-p 1.6000 8.0000 0.0011
QuantileBeta(0.15, 0.00500, 15.80492) = 1.346081e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81025) = 1.345613e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
C 626.618502 0 1.3870 4798
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.393094e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80506) = 1.346069e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80432) = 1.346135e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80469) = 1.346102e-161 2000 rounds
| 18/38
73 h-m-p 1.6000 8.0000 0.0002
QuantileBeta(0.15, 0.00500, 15.80458) = 1.346111e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80428) = 1.346138e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
+ 626.618502 m 8.0000 4859
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.393140e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80455) = 1.346114e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80381) = 1.346179e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80418) = 1.346147e-161 2000 rounds
| 18/38
74 h-m-p 0.6310 8.0000 0.0022
QuantileBeta(0.15, 0.00500, 15.80404) = 1.346159e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80362) = 1.346195e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
+ 626.618501 m 8.0000 4920
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.393300e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80280) = 1.346268e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80206) = 1.346333e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80243) = 1.346301e-161 2000 rounds
| 18/38
75 h-m-p 0.9985 8.0000 0.0175
QuantileBeta(0.15, 0.00500, 15.80226) = 1.346315e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80176) = 1.346359e-161 2000 rounds
+
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
+ 626.618494 m 8.0000 4981
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.393421e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80146) = 1.346385e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80072) = 1.346450e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80109) = 1.346418e-161 2000 rounds
| 18/38
76 h-m-p 1.6000 8.0000 0.0120
QuantileBeta(0.15, 0.00500, 15.80510) = 1.346066e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.81712) = 1.345010e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
Y 626.618492 0 1.2762 5042
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.393130e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80466) = 1.346104e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80392) = 1.346169e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80429) = 1.346137e-161 2000 rounds
| 18/38
77 h-m-p 1.6000 8.0000 0.0051
QuantileBeta(0.15, 0.00500, 15.80445) = 1.346123e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80494) = 1.346080e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
Y 626.618492 0 1.0076 5103
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.393121e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80476) = 1.346095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80402) = 1.346161e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
| 18/38
78 h-m-p 1.6000 8.0000 0.0001
QuantileBeta(0.15, 0.00500, 15.80441) = 1.346126e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80440) = 1.346128e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
C 626.618492 0 0.0092 5167
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.393121e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80476) = 1.346095e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80402) = 1.346161e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
| 18/38
79 h-m-p 0.0168 8.0000 0.0000
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
-
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
Y 626.618492 0 0.0000 5236
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
Out..
lnL = -626.618492
5237 lfun, 62844 eigenQcodon, 1901031 P(t)
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
BEBing (dim = 4). This may take several minutes.
Calculating f(x_h|w): 10 categories 20 w sets.
Calculating f(X), the marginal likelihood.
log(fX) = -645.753642 S = -627.886749 -12.192169
Calculating f(w|X), posterior probabilities of site classes.
did 10 / 57 patterns 23:27
did 20 / 57 patterns 23:27
did 30 / 57 patterns 23:28
did 40 / 57 patterns 23:28
did 50 / 57 patterns 23:28
did 57 / 57 patterns 23:28
QuantileBeta(0.15, 0.00500, 15.80439) = 1.346128e-161 2000 rounds
end of tree file.
Time used: 23:28
The loglikelihoods for models M1, M2, M7 and M8 are -626.619715 -626.619715 -626.731496 -626.618492 respectively
CLUSTAL W (1.8) multiple sequence alignment (ALTER 1.3.3)
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPISNCIKMLSNGAGNGQAITTSVD
NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_DEN_2005_347_PP1ab_VIPR_ALG1_380710256_11966_12370_1_2005_02_01_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_DEN_2008_16_PP1ab_VIPR_ALG1_380710208_11966_12370_1_2008_01_08_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_DEN_2009_14_PP1ab_VIPR_ALG1_380710192_11951_12355_1_2009_03_01_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_DEN_2009_15_PP1ab_VIPR_ALG1_380710200_11951_12355_1_2009_02_13_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_DEN_2009_20_PP1ab_VIPR_ALG1_380710216_11966_12370_1_2009_03_12_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_DEN_2009_9_PP1ab_VIPR_ALG1_380710184_11951_12355_1_2009_03_16_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_human_USA_0111_25_2001_Pp1ab_VIPR_ALG1_530802127_11931_12335_1_2001_11_21_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_human_USA_838_9_1983_Pp1ab_VIPR_ALG1_530802111_11946_12350_1_1983_08_16_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_human_USA_8712_17_1987_Pp1ab_VIPR_ALG1_530802079_11937_12341_1_1987_12_16_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_human_USA_891_4_1989_Pp1ab_VIPR_ALG1_530802143_11946_12350_1_1989_01_03_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_human_USA_901_24_1990_Pp1ab_VIPR_ALG1_530802119_11946_12350_1_1990_01_05_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_human_USA_891_6_1989_Pp1ab_VIPR_ALG1_530802095_11946_12350_1_1989_01_05_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_human_USA_903_28_1990_Pp1ab_VIPR_ALG1_530802103_11946_12350_1_1990_03_21_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_human_USA_904_20_1990_Pp1ab_VIPR_ALG1_530802063_11946_12350_1_1990_04_26_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_human_USA_911_56_1991_Pp1ab_VIPR_ALG1_530802087_11946_12350_1_1991_01_24_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
NL63_human_USA_905_25_1990_Pp1ab_VIPR_ALG1_530802135_11946_12350_1_1990_05_29_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVD
*************************************:**********************
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_DEN_2005_347_PP1ab_VIPR_ALG1_380710256_11966_12370_1_2005_02_01_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_DEN_2008_16_PP1ab_VIPR_ALG1_380710208_11966_12370_1_2008_01_08_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_DEN_2009_14_PP1ab_VIPR_ALG1_380710192_11951_12355_1_2009_03_01_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_DEN_2009_15_PP1ab_VIPR_ALG1_380710200_11951_12355_1_2009_02_13_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_DEN_2009_20_PP1ab_VIPR_ALG1_380710216_11966_12370_1_2009_03_12_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_DEN_2009_9_PP1ab_VIPR_ALG1_380710184_11951_12355_1_2009_03_16_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_human_USA_0111_25_2001_Pp1ab_VIPR_ALG1_530802127_11931_12335_1_2001_11_21_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_human_USA_838_9_1983_Pp1ab_VIPR_ALG1_530802111_11946_12350_1_1983_08_16_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_human_USA_8712_17_1987_Pp1ab_VIPR_ALG1_530802079_11937_12341_1_1987_12_16_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_human_USA_891_4_1989_Pp1ab_VIPR_ALG1_530802143_11946_12350_1_1989_01_03_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_human_USA_901_24_1990_Pp1ab_VIPR_ALG1_530802119_11946_12350_1_1990_01_05_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_human_USA_891_6_1989_Pp1ab_VIPR_ALG1_530802095_11946_12350_1_1989_01_05_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_human_USA_903_28_1990_Pp1ab_VIPR_ALG1_530802103_11946_12350_1_1990_03_21_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_human_USA_904_20_1990_Pp1ab_VIPR_ALG1_530802063_11946_12350_1_1990_04_26_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_human_USA_911_56_1991_Pp1ab_VIPR_ALG1_530802087_11946_12350_1_1991_01_24_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
NL63_human_USA_905_25_1990_Pp1ab_VIPR_ALG1_530802135_11946_12350_1_1990_05_29_USA_Human_Human_coronavirus_NL63 ANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCG
************************************************************
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_DEN_2005_347_PP1ab_VIPR_ALG1_380710256_11966_12370_1_2005_02_01_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_DEN_2008_16_PP1ab_VIPR_ALG1_380710208_11966_12370_1_2008_01_08_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_DEN_2009_14_PP1ab_VIPR_ALG1_380710192_11951_12355_1_2009_03_01_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_DEN_2009_15_PP1ab_VIPR_ALG1_380710200_11951_12355_1_2009_02_13_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_DEN_2009_20_PP1ab_VIPR_ALG1_380710216_11966_12370_1_2009_03_12_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_DEN_2009_9_PP1ab_VIPR_ALG1_380710184_11951_12355_1_2009_03_16_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_human_USA_0111_25_2001_Pp1ab_VIPR_ALG1_530802127_11931_12335_1_2001_11_21_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_human_USA_838_9_1983_Pp1ab_VIPR_ALG1_530802111_11946_12350_1_1983_08_16_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_human_USA_8712_17_1987_Pp1ab_VIPR_ALG1_530802079_11937_12341_1_1987_12_16_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_human_USA_891_4_1989_Pp1ab_VIPR_ALG1_530802143_11946_12350_1_1989_01_03_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_human_USA_901_24_1990_Pp1ab_VIPR_ALG1_530802119_11946_12350_1_1990_01_05_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_human_USA_891_6_1989_Pp1ab_VIPR_ALG1_530802095_11946_12350_1_1989_01_05_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_human_USA_903_28_1990_Pp1ab_VIPR_ALG1_530802103_11946_12350_1_1990_03_21_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_human_USA_904_20_1990_Pp1ab_VIPR_ALG1_530802063_11946_12350_1_1990_04_26_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_human_USA_911_56_1991_Pp1ab_VIPR_ALG1_530802087_11946_12350_1_1991_01_24_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
NL63_human_USA_905_25_1990_Pp1ab_VIPR_ALG1_530802135_11946_12350_1_1990_05_29_USA_Human_Human_coronavirus_NL63 CWLGHGCACDRTTIQ
***************
>Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAGGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCATCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCGGTTGATCCAGCAACTACTTACTTGGAGGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCATCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTATAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCTCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGAGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGGGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2005_347_PP1ab_VIPR_ALG1_380710256_11966_12370_1_2005_02_01_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGGGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2008_16_PP1ab_VIPR_ALG1_380710208_11966_12370_1_2008_01_08_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCGGTTGATCCAGCAACTACTTACTTGGAGGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCATCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2009_14_PP1ab_VIPR_ALG1_380710192_11951_12355_1_2009_03_01_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTCTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2009_15_PP1ab_VIPR_ALG1_380710200_11951_12355_1_2009_02_13_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2009_20_PP1ab_VIPR_ALG1_380710216_11966_12370_1_2009_03_12_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCGGTTGATCCAGCAACTACTTACTTGGAGGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCATCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTAGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_DEN_2009_9_PP1ab_VIPR_ALG1_380710184_11951_12355_1_2009_03_16_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGAGCTCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_0111_25_2001_Pp1ab_VIPR_ALG1_530802127_11931_12335_1_2001_11_21_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACTACTTATTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGCTGGTTGGGACATGGATGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_838_9_1983_Pp1ab_VIPR_ALG1_530802111_11946_12350_1_1983_08_16_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCGGTTGATCCAGCAACTACTTACTTGGAGGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCATCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_8712_17_1987_Pp1ab_VIPR_ALG1_530802079_11937_12341_1_1987_12_16_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAACGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCATGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATTAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_891_4_1989_Pp1ab_VIPR_ALG1_530802143_11946_12350_1_1989_01_03_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_901_24_1990_Pp1ab_VIPR_ALG1_530802119_11946_12350_1_1990_01_05_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_891_6_1989_Pp1ab_VIPR_ALG1_530802095_11946_12350_1_1989_01_05_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_903_28_1990_Pp1ab_VIPR_ALG1_530802103_11946_12350_1_1990_03_21_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_904_20_1990_Pp1ab_VIPR_ALG1_530802063_11946_12350_1_1990_04_26_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_911_56_1991_Pp1ab_VIPR_ALG1_530802087_11946_12350_1_1991_01_24_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCAGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGACGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA >NL63_human_USA_905_25_1990_Pp1ab_VIPR_ALG1_530802135_11946_12350_1_1990_05_29_USA_Human_Human_coronavirus_NL63 GCTGGTAAACAAACTGAATTGGCTGTTAATTCTGGACTTTTAACTGCTTGTGCTTTTTCTGTTGATCCGGCAACCACTTACTTGGAAGCTGTTAAACATGGTGCAAAACCTGTAAGTAATTGTATTAAGATGTTATCTAATGGTGCTGGTAATGGTCAAGCTATAACAACTAGTGTAGATGCTAACACCAATCAAGATTCTTATGGTGGAGCGTCTATTTGTTTGTATTGTCGGGCCCACGTTCCTCACCCTAGTATGGATGGTTACTGTAAGTTTAAGGGTAAATGTGTTCAGGTTCCTATTGGTTGTTTGGATCCTATCAGGTTTTGTTTAGAAAATAATGTGTGTAATGTTTGTGGTTGTTGGTTGGGACACGGGTGTGCTTGTGACCGTACAACTATTCAA
>Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPISNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2005_347_PP1ab_VIPR_ALG1_380710256_11966_12370_1_2005_02_01_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2008_16_PP1ab_VIPR_ALG1_380710208_11966_12370_1_2008_01_08_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2009_14_PP1ab_VIPR_ALG1_380710192_11951_12355_1_2009_03_01_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2009_15_PP1ab_VIPR_ALG1_380710200_11951_12355_1_2009_02_13_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2009_20_PP1ab_VIPR_ALG1_380710216_11966_12370_1_2009_03_12_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_DEN_2009_9_PP1ab_VIPR_ALG1_380710184_11951_12355_1_2009_03_16_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_0111_25_2001_Pp1ab_VIPR_ALG1_530802127_11931_12335_1_2001_11_21_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_838_9_1983_Pp1ab_VIPR_ALG1_530802111_11946_12350_1_1983_08_16_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_8712_17_1987_Pp1ab_VIPR_ALG1_530802079_11937_12341_1_1987_12_16_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_891_4_1989_Pp1ab_VIPR_ALG1_530802143_11946_12350_1_1989_01_03_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_901_24_1990_Pp1ab_VIPR_ALG1_530802119_11946_12350_1_1990_01_05_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_891_6_1989_Pp1ab_VIPR_ALG1_530802095_11946_12350_1_1989_01_05_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_903_28_1990_Pp1ab_VIPR_ALG1_530802103_11946_12350_1_1990_03_21_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_904_20_1990_Pp1ab_VIPR_ALG1_530802063_11946_12350_1_1990_04_26_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_911_56_1991_Pp1ab_VIPR_ALG1_530802087_11946_12350_1_1991_01_24_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ >NL63_human_USA_905_25_1990_Pp1ab_VIPR_ALG1_530802135_11946_12350_1_1990_05_29_USA_Human_Human_coronavirus_NL63 AGKQTELAVNSGLLTACAFSVDPATTYLEAVKHGAKPVSNCIKMLSNGAGNGQAITTSVDANTNQDSYGGASICLYCRAHVPHPSMDGYCKFKGKCVQVPIGCLDPIRFCLENNVCNVCGCWLGHGCACDRTTIQ
Reading sequence file /data//pss_subsets/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result/original_alignment/codeml/fasta/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1
Found 26 sequences of length 405
Alignment looks like a valid DNA alignment.
Estimated diversity is (pairwise deletion - ignoring missing/ambig): 1.0%
Found 11 informative sites.
Writing alignment of informative sites to: Phi.inf.sites
Writing list of informative sites to: Phi.inf.list
Calculating all pairwise incompatibilities...
Done: 0.0%100.0%
Using a window size of 80 with k as 2
Calculating analytical mean and variance
Doing permutation test for PHI
Doing permutation test for NSS
Doing Permutation test for MAXCHI
Writing alignment of polymorphic unambig sites to: Phi.poly.sites
Window size is 13 polymorphic sites
**p-Value(s)**
----------
NSS: 3.25e-01 (1000 permutations)
Max Chi^2: 6.22e-01 (1000 permutations)
PHI (Permutation): 9.10e-01 (1000 permutations)
PHI (Normal): 7.73e-01
#NEXUS
[ID: 3919013160]
begin taxa;
dimensions ntax=26;
taxlabels
Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63
NL63_DEN_2005_347_PP1ab_VIPR_ALG1_380710256_11966_12370_1_2005_02_01_USA_Human_Human_coronavirus_NL63
NL63_DEN_2008_16_PP1ab_VIPR_ALG1_380710208_11966_12370_1_2008_01_08_USA_Human_Human_coronavirus_NL63
NL63_DEN_2009_14_PP1ab_VIPR_ALG1_380710192_11951_12355_1_2009_03_01_USA_Human_Human_coronavirus_NL63
NL63_DEN_2009_15_PP1ab_VIPR_ALG1_380710200_11951_12355_1_2009_02_13_USA_Human_Human_coronavirus_NL63
NL63_DEN_2009_20_PP1ab_VIPR_ALG1_380710216_11966_12370_1_2009_03_12_USA_Human_Human_coronavirus_NL63
NL63_DEN_2009_9_PP1ab_VIPR_ALG1_380710184_11951_12355_1_2009_03_16_USA_Human_Human_coronavirus_NL63
NL63_human_USA_0111_25_2001_Pp1ab_VIPR_ALG1_530802127_11931_12335_1_2001_11_21_USA_Human_Human_coronavirus_NL63
NL63_human_USA_838_9_1983_Pp1ab_VIPR_ALG1_530802111_11946_12350_1_1983_08_16_USA_Human_Human_coronavirus_NL63
NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63
NL63_human_USA_8712_17_1987_Pp1ab_VIPR_ALG1_530802079_11937_12341_1_1987_12_16_USA_Human_Human_coronavirus_NL63
Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63
NL63_human_USA_891_4_1989_Pp1ab_VIPR_ALG1_530802143_11946_12350_1_1989_01_03_USA_Human_Human_coronavirus_NL63
NL63_human_USA_901_24_1990_Pp1ab_VIPR_ALG1_530802119_11946_12350_1_1990_01_05_USA_Human_Human_coronavirus_NL63
NL63_human_USA_891_6_1989_Pp1ab_VIPR_ALG1_530802095_11946_12350_1_1989_01_05_USA_Human_Human_coronavirus_NL63
NL63_human_USA_903_28_1990_Pp1ab_VIPR_ALG1_530802103_11946_12350_1_1990_03_21_USA_Human_Human_coronavirus_NL63
NL63_human_USA_904_20_1990_Pp1ab_VIPR_ALG1_530802063_11946_12350_1_1990_04_26_USA_Human_Human_coronavirus_NL63
NL63_human_USA_911_56_1991_Pp1ab_VIPR_ALG1_530802087_11946_12350_1_1991_01_24_USA_Human_Human_coronavirus_NL63
NL63_human_USA_905_25_1990_Pp1ab_VIPR_ALG1_530802135_11946_12350_1_1990_05_29_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63
NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63
;
end;
begin trees;
translate
1 Amsterdam_057_1ab_VIPR_ALG1_93004446_12011_12415_1_NA_Netherlands_Unknown_Human_coronavirus_NL63,
2 NL63_DEN_2005_347_PP1ab_VIPR_ALG1_380710256_11966_12370_1_2005_02_01_USA_Human_Human_coronavirus_NL63,
3 NL63_DEN_2008_16_PP1ab_VIPR_ALG1_380710208_11966_12370_1_2008_01_08_USA_Human_Human_coronavirus_NL63,
4 NL63_DEN_2009_14_PP1ab_VIPR_ALG1_380710192_11951_12355_1_2009_03_01_USA_Human_Human_coronavirus_NL63,
5 NL63_DEN_2009_15_PP1ab_VIPR_ALG1_380710200_11951_12355_1_2009_02_13_USA_Human_Human_coronavirus_NL63,
6 NL63_DEN_2009_20_PP1ab_VIPR_ALG1_380710216_11966_12370_1_2009_03_12_USA_Human_Human_coronavirus_NL63,
7 NL63_DEN_2009_9_PP1ab_VIPR_ALG1_380710184_11951_12355_1_2009_03_16_USA_Human_Human_coronavirus_NL63,
8 NL63_human_USA_0111_25_2001_Pp1ab_VIPR_ALG1_530802127_11931_12335_1_2001_11_21_USA_Human_Human_coronavirus_NL63,
9 NL63_human_USA_838_9_1983_Pp1ab_VIPR_ALG1_530802111_11946_12350_1_1983_08_16_USA_Human_Human_coronavirus_NL63,
10 NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63,
11 NL63_human_USA_8712_17_1987_Pp1ab_VIPR_ALG1_530802079_11937_12341_1_1987_12_16_USA_Human_Human_coronavirus_NL63,
12 Amsterdam_496_1ab_VIPR_ALG1_93004453_11996_12400_1_NA_Netherlands_Unknown_Human_coronavirus_NL63,
13 NL63_human_USA_891_4_1989_Pp1ab_VIPR_ALG1_530802143_11946_12350_1_1989_01_03_USA_Human_Human_coronavirus_NL63,
14 NL63_human_USA_901_24_1990_Pp1ab_VIPR_ALG1_530802119_11946_12350_1_1990_01_05_USA_Human_Human_coronavirus_NL63,
15 NL63_human_USA_891_6_1989_Pp1ab_VIPR_ALG1_530802095_11946_12350_1_1989_01_05_USA_Human_Human_coronavirus_NL63,
16 NL63_human_USA_903_28_1990_Pp1ab_VIPR_ALG1_530802103_11946_12350_1_1990_03_21_USA_Human_Human_coronavirus_NL63,
17 NL63_human_USA_904_20_1990_Pp1ab_VIPR_ALG1_530802063_11946_12350_1_1990_04_26_USA_Human_Human_coronavirus_NL63,
18 NL63_human_USA_911_56_1991_Pp1ab_VIPR_ALG1_530802087_11946_12350_1_1991_01_24_USA_Human_Human_coronavirus_NL63,
19 NL63_human_USA_905_25_1990_Pp1ab_VIPR_ALG1_530802135_11946_12350_1_1990_05_29_USA_Human_Human_coronavirus_NL63,
20 NL63_DEN_2005_1062_PP1ab_VIPR_ALG1_380710266_11966_12370_1_2005_04_12_USA_Human_Human_coronavirus_NL63,
21 NL63_DEN_2005_1862_PP1ab_VIPR_ALG1_380710274_11966_12370_1_2005_11_USA_Human_Human_coronavirus_NL63,
22 NL63_DEN_2005_1876_PP1ab_VIPR_ALG1_380710282_11966_12370_1_2005_11_21_USA_Human_Human_coronavirus_NL63,
23 NL63_DEN_2005_193_PP1ab_VIPR_ALG1_380710224_11966_12370_1_2005_01_11_USA_Human_Human_coronavirus_NL63,
24 NL63_DEN_2005_235_PP1ab_VIPR_ALG1_380710240_11951_12355_1_2005_01_19_USA_Human_Human_coronavirus_NL63,
25 NL63_DEN_2005_232_PP1ab_VIPR_ALG1_380710232_11951_12355_1_2005_01_18_USA_Human_Human_coronavirus_NL63,
26 NL63_DEN_2005_271_PP1ab_VIPR_ALG1_380710248_11966_12370_1_2005_01_23_USA_Human_Human_coronavirus_NL63
;
[Note: This tree contains information on the topology,
branch lengths (if present), and the probability
of the partition indicated by the branch.]
tree con_50_majrule = (1:1.719706e-03,(3:6.164970e-04,6:1.532458e-03,10:6.188533e-04,21:6.649659e-04)1.000:2.735011e-03,((2:6.706957e-04,26:6.663581e-04)0.962:1.604657e-03,(4:1.577800e-03,5:6.504007e-04,(7:1.669729e-03,24:7.581645e-04)0.923:1.592252e-03,8:1.615668e-03,12:6.814162e-04,25:6.763888e-04)1.000:3.567478e-03,((9:6.584971e-04,13:6.311224e-04,14:6.765504e-04,15:6.588463e-04,16:6.411409e-04,17:6.760839e-04,18:1.620151e-03,19:1.579344e-03)0.739:1.616564e-03,11:2.904327e-03)0.894:1.800037e-03,20:6.631996e-04,22:2.556867e-03,23:6.794541e-04)0.845:1.605485e-03);
[Note: This tree contains information only on the topology
and branch lengths (median of the posterior probability density).]
tree con_50_majrule = (1:1.719706e-03,(3:6.164970e-04,6:1.532458e-03,10:6.188533e-04,21:6.649659e-04):2.735011e-03,((2:6.706957e-04,26:6.663581e-04):1.604657e-03,(4:1.577800e-03,5:6.504007e-04,(7:1.669729e-03,24:7.581645e-04):1.592252e-03,8:1.615668e-03,12:6.814162e-04,25:6.763888e-04):3.567478e-03,((9:6.584971e-04,13:6.311224e-04,14:6.765504e-04,15:6.588463e-04,16:6.411409e-04,17:6.760839e-04,18:1.620151e-03,19:1.579344e-03):1.616564e-03,11:2.904327e-03):1.800037e-03,20:6.631996e-04,22:2.556867e-03,23:6.794541e-04):1.605485e-03);
end;
Estimated marginal likelihoods for runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)
(Values are saved to the file /data/mrbayes_input.nex.lstat)
Run Arithmetic mean Harmonic mean
--------------------------------------
1 -703.19 -723.49
2 -702.62 -720.98
--------------------------------------
TOTAL -702.86 -722.88
--------------------------------------
Model parameter summaries over the runs sampled in files
"/data/mrbayes_input.nex.run1.p" and "/data/mrbayes_input.nex.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/data/mrbayes_input.nex.pstat".
95% HPD Interval
--------------------
Parameter Mean Variance Lower Upper Median min ESS* avg ESS PSRF+
------------------------------------------------------------------------------------------------------
TL{all} 0.071554 0.000609 0.031372 0.118848 0.066702 249.66 460.50 1.000
r(A<->C){all} 0.047443 0.002108 0.000061 0.143547 0.033003 205.65 222.70 1.000
r(A<->G){all} 0.369725 0.010883 0.185455 0.579342 0.364672 78.63 79.24 1.000
r(A<->T){all} 0.022129 0.000465 0.000005 0.065063 0.016177 390.71 434.83 1.000
r(C<->G){all} 0.049648 0.002419 0.000040 0.151526 0.033923 131.48 133.52 1.000
r(C<->T){all} 0.463129 0.011066 0.264417 0.663237 0.460671 90.18 138.37 1.001
r(G<->T){all} 0.047927 0.001087 0.000412 0.111007 0.041068 289.98 336.23 1.002
pi(A){all} 0.248161 0.000474 0.206170 0.291312 0.248059 1012.21 1025.36 1.001
pi(C){all} 0.148911 0.000288 0.117113 0.182207 0.148354 940.43 983.96 1.000
pi(G){all} 0.239452 0.000427 0.198005 0.277497 0.238743 738.75 918.08 1.000
pi(T){all} 0.363475 0.000550 0.315593 0.407617 0.363062 900.82 942.57 1.003
alpha{1,2} 0.400466 0.438994 0.000468 1.712459 0.151900 406.44 423.74 1.000
alpha{3} 1.791556 1.558223 0.001470 4.200368 1.537731 569.28 775.92 1.000
pinvar{all} 0.513429 0.054434 0.067314 0.849455 0.565450 250.71 260.79 1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.
CODONML (in paml version 4.9h, March 2018) /data/fasta_checked/NL63_human_USA_012_31_2001_Pp1ab_VIPR_ALG1_530802071_11946_12350_1_2001_02_23_USA_Human_Human_coronavirus_NL63.result.1
Model: One dN/dS ratio,
Codon frequency model: F3x4
Site-class models:
ns = 26 ls = 135
Codon usage in sequences
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 3 3 3 3 3 3 | Ser TCT 5 5 5 4 5 5 | Tyr TAT 2 2 2 2 2 2 | Cys TGT 13 12 13 13 13 13
TTC 0 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 2 2 2 2 2 2 | TGC 0 1 0 0 0 0
Leu TTA 3 3 3 3 3 3 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 5 5 5 5 5 5 | TCG 0 0 0 1 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 1 1 1 1 1 1 | Pro CCT 5 5 5 5 5 5 | His CAT 1 2 1 1 1 1 | Arg CGT 1 1 1 1 1 1
CTC 0 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 3 2 3 3 3 3 | CGC 0 0 0 0 0 0
CTA 0 0 0 0 0 0 | CCA 1 1 1 1 1 1 | Gln CAA 3 4 4 4 4 4 | CGA 0 0 0 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 2 1 1 1 1 1 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 5 5 5 5 5 5 | Thr ACT 6 6 6 6 6 6 | Asn AAT 8 8 8 8 8 8 | Ser AGT 3 3 3 3 3 3
ATC 0 0 0 0 0 0 | ACC 1 1 1 1 1 1 | AAC 1 1 1 1 1 1 | AGC 0 0 0 0 0 0
ATA 1 1 1 1 2 1 | ACA 2 2 2 2 2 2 | Lys AAA 4 4 4 4 4 4 | Arg AGA 0 0 0 0 0 0
Met ATG 2 2 2 2 2 2 | ACG 0 0 0 0 0 0 | AAG 3 3 3 3 3 3 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 7 7 7 7 7 7 | Ala GCT 9 9 9 9 10 9 | Asp GAT 5 5 5 5 5 5 | Gly GGT 10 10 10 10 10 10
GTC 0 0 0 0 0 0 | GCC 1 1 1 1 0 1 | GAC 1 1 1 1 1 1 | GGC 0 0 0 0 0 0
GTA 2 2 2 2 1 2 | GCA 3 2 2 3 2 2 | Glu GAA 3 3 3 2 3 3 | GGA 3 4 3 3 3 3
GTG 1 1 1 1 1 1 | GCG 0 1 1 0 1 1 | GAG 0 0 0 1 0 0 | GGG 1 0 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 3 3 3 3 3 3 | Ser TCT 5 5 5 5 4 5 | Tyr TAT 2 2 2 2 2 2 | Cys TGT 12 12 13 13 13 12
TTC 0 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 2 2 2 2 2 2 | TGC 1 1 0 0 0 1
Leu TTA 3 3 3 3 3 2 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 5 5 5 5 5 5 | TCG 0 0 0 0 1 0 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 1 1 1 1 1 1 | Pro CCT 5 5 5 5 5 5 | His CAT 2 2 1 1 1 2 | Arg CGT 1 1 1 1 1 1
CTC 0 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 2 2 3 3 3 2 | CGC 0 0 0 0 0 0
CTA 0 0 0 0 0 1 | CCA 1 1 1 1 1 1 | Gln CAA 4 4 4 4 4 4 | CGA 1 0 0 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 1 1 1 1 1 1 | CGG 0 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 5 5 5 5 5 5 | Thr ACT 6 6 6 6 6 6 | Asn AAT 8 8 8 8 8 8 | Ser AGT 3 3 3 3 3 3
ATC 0 0 0 0 0 0 | ACC 1 1 1 1 1 1 | AAC 1 1 1 1 1 1 | AGC 0 0 0 0 0 0
ATA 1 1 1 1 1 1 | ACA 2 2 2 2 2 2 | Lys AAA 4 4 4 4 4 4 | Arg AGA 0 0 0 0 0 0
Met ATG 2 2 2 2 2 2 | ACG 0 0 0 0 0 0 | AAG 3 3 3 3 3 3 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 7 7 7 7 7 7 | Ala GCT 9 9 9 9 9 9 | Asp GAT 5 5 5 5 5 5 | Gly GGT 10 10 10 10 10 10
GTC 0 0 0 0 0 0 | GCC 1 1 1 1 1 1 | GAC 1 1 1 1 1 1 | GGC 0 0 0 0 0 0
GTA 2 2 2 2 2 2 | GCA 2 2 2 2 3 2 | Glu GAA 3 3 3 3 2 3 | GGA 4 4 2 2 3 4
GTG 1 1 1 1 1 1 | GCG 1 1 1 1 0 1 | GAG 0 0 0 0 1 0 | GGG 0 0 2 2 1 0
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 3 3 3 3 3 3 | Ser TCT 5 4 5 5 5 4 | Tyr TAT 2 2 2 3 2 2 | Cys TGT 12 13 12 12 13 13
TTC 0 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 2 2 2 1 2 2 | TGC 1 0 1 1 0 0
Leu TTA 3 4 3 3 3 3 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 5 4 5 5 5 5 | TCG 0 1 0 0 0 1 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 1 1 1 1 1 1 | Pro CCT 5 5 5 5 5 5 | His CAT 2 1 2 2 1 1 | Arg CGT 1 1 1 1 1 1
CTC 0 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 2 3 2 2 3 3 | CGC 0 0 0 0 0 0
CTA 0 0 0 0 0 0 | CCA 1 1 1 1 1 1 | Gln CAA 4 4 4 4 4 4 | CGA 0 0 1 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 1 1 1 1 1 1 | CGG 1 1 0 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 5 5 5 5 4 5 | Thr ACT 6 6 6 6 5 6 | Asn AAT 8 8 8 8 8 8 | Ser AGT 3 3 3 3 3 3
ATC 0 0 0 0 1 0 | ACC 1 1 1 1 2 1 | AAC 1 1 1 1 1 1 | AGC 0 0 0 0 0 0
ATA 1 1 1 1 1 1 | ACA 2 2 2 2 2 2 | Lys AAA 4 4 4 4 4 4 | Arg AGA 0 0 0 0 0 0
Met ATG 2 2 2 2 2 2 | ACG 0 0 0 0 0 0 | AAG 3 3 3 3 3 3 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 7 7 7 7 7 7 | Ala GCT 9 9 10 9 9 9 | Asp GAT 5 5 5 5 5 5 | Gly GGT 10 10 10 10 10 10
GTC 0 0 0 0 0 0 | GCC 1 1 0 1 1 1 | GAC 1 1 1 1 1 1 | GGC 0 0 0 0 0 0
GTA 2 2 2 2 2 2 | GCA 2 3 2 2 2 3 | Glu GAA 3 2 3 3 3 2 | GGA 4 3 4 4 3 3
GTG 1 1 1 1 1 1 | GCG 1 0 1 1 1 0 | GAG 0 1 0 0 0 1 | GGG 0 1 0 0 1 1
--------------------------------------------------------------------------------------------------------------------------------------
--------------------------------------------------------------------------------------------------------------------------------------
Phe TTT 3 3 3 3 3 3 | Ser TCT 5 5 5 5 5 5 | Tyr TAT 2 2 2 2 2 2 | Cys TGT 13 13 13 13 13 13
TTC 0 0 0 0 0 0 | TCC 0 0 0 0 0 0 | TAC 2 2 2 2 2 2 | TGC 0 0 0 0 0 0
Leu TTA 3 3 3 3 3 3 | TCA 0 0 0 0 0 0 | *** TAA 0 0 0 0 0 0 | *** TGA 0 0 0 0 0 0
TTG 5 5 5 5 5 5 | TCG 0 0 0 0 0 0 | TAG 0 0 0 0 0 0 | Trp TGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Leu CTT 1 1 1 1 1 1 | Pro CCT 5 5 5 5 5 5 | His CAT 2 1 1 1 1 1 | Arg CGT 1 1 1 1 1 1
CTC 0 0 0 0 0 0 | CCC 0 0 0 0 0 0 | CAC 2 3 3 3 3 3 | CGC 0 0 0 0 0 0
CTA 0 0 0 0 0 0 | CCA 1 1 1 1 1 1 | Gln CAA 4 4 4 4 4 4 | CGA 0 0 0 0 0 0
CTG 0 0 0 0 0 0 | CCG 0 0 0 0 0 0 | CAG 1 1 1 1 1 1 | CGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Ile ATT 5 4 4 4 4 4 | Thr ACT 5 5 5 5 5 5 | Asn AAT 7 8 8 8 8 8 | Ser AGT 3 3 3 3 3 3
ATC 0 1 1 1 1 1 | ACC 2 2 2 2 2 2 | AAC 2 1 1 1 1 1 | AGC 0 0 0 0 0 0
ATA 1 1 1 1 1 1 | ACA 2 2 2 2 2 2 | Lys AAA 4 4 4 4 4 4 | Arg AGA 0 0 0 0 0 0
Met ATG 2 2 2 2 2 2 | ACG 0 0 0 0 0 0 | AAG 3 3 3 3 3 3 | AGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
Val GTT 7 7 7 7 7 7 | Ala GCT 9 9 9 9 9 9 | Asp GAT 5 5 5 5 5 5 | Gly GGT 10 10 10 10 10 10
GTC 0 0 0 0 0 0 | GCC 1 1 1 1 1 1 | GAC 1 1 1 1 1 1 | GGC 0 0 0 0 0 0
GTA 2 2 2 2 2 2 | GCA 2 2 2 2 2 2 | Glu GAA 3 3 3 3 3 3 | GGA 3 3 3 3 3 3
GTG 1 1 1 1 1 1 | GCG 1 1 1 1 1 1 | GAG 0 0 0 0 0 0 | GGG 1 1 1 1 1 1
--------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------
Phe TTT 3 3 | Ser TCT 5 5 | Tyr TAT 2 2 | Cys TGT 13 13
TTC 0 0 | TCC 0 0 | TAC 2 2 | TGC 0 0
Leu TTA 3 3 | TCA 0 0 | *** TAA 0 0 | *** TGA 0 0
TTG 5 5 | TCG 0 0 | TAG 0 0 | Trp TGG 1 1
----------------------------------------------------------------------
Leu CTT 1 1 | Pro CCT 5 5 | His CAT 1 1 | Arg CGT 1 1
CTC 0 0 | CCC 0 0 | CAC 3 3 | CGC 0 0
CTA 0 0 | CCA 1 0 | Gln CAA 4 4 | CGA 0 0
CTG 0 0 | CCG 0 1 | CAG 1 1 | CGG 1 1
----------------------------------------------------------------------
Ile ATT 4 4 | Thr ACT 5 5 | Asn AAT 8 8 | Ser AGT 3 3
ATC 1 1 | ACC 2 2 | AAC 1 1 | AGC 0 0
ATA 1 1 | ACA 2 2 | Lys AAA 4 4 | Arg AGA 0 0
Met ATG 2 2 | ACG 0 0 | AAG 3 3 | AGG 1 1
----------------------------------------------------------------------
Val GTT 7 7 | Ala GCT 9 9 | Asp GAT 4 5 | Gly GGT 10 10
GTC 0 0 | GCC 1 1 | GAC 2 1 | GGC 0 0
GTA 2 2 | GCA 2 2 | Glu GAA 3 3 | GGA 3 3
GTG 1 1 | GCG 1 1 | GAG 0 0 | GGG 1 1
----------------------------------------------------------------------
Codon position x base (3x4) table for each sequence.
#1: C1
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.62222 C:0.06667 A:0.18519 G:0.12593
Average T:0.36543 C:0.14815 A:0.24691 G:0.23951
#2: C2
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.62222 C:0.06667 A:0.19259 G:0.11852
Average T:0.36543 C:0.14815 A:0.24938 G:0.23704
#3: C3
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.62222 C:0.06667 A:0.18519 G:0.12593
Average T:0.36543 C:0.14815 A:0.24691 G:0.23951
#4: C4
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.61481 C:0.06667 A:0.18519 G:0.13333
Average T:0.36296 C:0.14815 A:0.24691 G:0.24198
#5: C5
position 1: T:0.25185 C:0.13333 A:0.28148 G:0.33333
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.62963 C:0.05926 A:0.18519 G:0.12593
Average T:0.36790 C:0.14568 A:0.24938 G:0.23704
#6: C6
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.62222 C:0.06667 A:0.18519 G:0.12593
Average T:0.36543 C:0.14815 A:0.24691 G:0.23951
#7: C7
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.62222 C:0.06667 A:0.20000 G:0.11111
Average T:0.36543 C:0.14815 A:0.25185 G:0.23457
#8: C8
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.62222 C:0.06667 A:0.19259 G:0.11852
Average T:0.36543 C:0.14815 A:0.24938 G:0.23704
#9: C9
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.62222 C:0.06667 A:0.17778 G:0.13333
Average T:0.36543 C:0.14815 A:0.24444 G:0.24198
#10: C10
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.62222 C:0.06667 A:0.17778 G:0.13333
Average T:0.36543 C:0.14815 A:0.24444 G:0.24198
#11: C11
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.61481 C:0.06667 A:0.18519 G:0.13333
Average T:0.36296 C:0.14815 A:0.24691 G:0.24198
#12: C12
position 1: T:0.24444 C:0.14074 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.62222 C:0.06667 A:0.19259 G:0.11852
Average T:0.36296 C:0.15062 A:0.24938 G:0.23704
#13: C13
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.62222 C:0.06667 A:0.19259 G:0.11852
Average T:0.36543 C:0.14815 A:0.24938 G:0.23704
#14: C14
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.61481 C:0.06667 A:0.19259 G:0.12593
Average T:0.36296 C:0.14815 A:0.24938 G:0.23951
#15: C15
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.62963 C:0.05926 A:0.20000 G:0.11111
Average T:0.36790 C:0.14568 A:0.25185 G:0.23457
#16: C16
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.62963 C:0.05926 A:0.19259 G:0.11852
Average T:0.36790 C:0.14568 A:0.24938 G:0.23704
#17: C17
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.60741 C:0.08148 A:0.18519 G:0.12593
Average T:0.36049 C:0.15309 A:0.24691 G:0.23951
#18: C18
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.61481 C:0.06667 A:0.18519 G:0.13333
Average T:0.36296 C:0.14815 A:0.24691 G:0.24198
#19: C19
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.61481 C:0.07407 A:0.18519 G:0.12593
Average T:0.36296 C:0.15062 A:0.24691 G:0.23951
#20: C20
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.60741 C:0.08148 A:0.18519 G:0.12593
Average T:0.36049 C:0.15309 A:0.24691 G:0.23951
#21: C21
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.60741 C:0.08148 A:0.18519 G:0.12593
Average T:0.36049 C:0.15309 A:0.24691 G:0.23951
#22: C22
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.60741 C:0.08148 A:0.18519 G:0.12593
Average T:0.36049 C:0.15309 A:0.24691 G:0.23951
#23: C23
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.60741 C:0.08148 A:0.18519 G:0.12593
Average T:0.36049 C:0.15309 A:0.24691 G:0.23951
#24: C24
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.60741 C:0.08148 A:0.18519 G:0.12593
Average T:0.36049 C:0.15309 A:0.24691 G:0.23951
#25: C25
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.60000 C:0.08889 A:0.18519 G:0.12593
Average T:0.35802 C:0.15556 A:0.24691 G:0.23951
#26: C26
position 1: T:0.25185 C:0.13333 A:0.27407 G:0.34074
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.60741 C:0.08148 A:0.17778 G:0.13333
Average T:0.36049 C:0.15309 A:0.24444 G:0.24198
Sums of codon usage counts
------------------------------------------------------------------------------
Phe F TTT 78 | Ser S TCT 126 | Tyr Y TAT 53 | Cys C TGT 331
TTC 0 | TCC 0 | TAC 51 | TGC 7
Leu L TTA 78 | TCA 0 | *** * TAA 0 | *** * TGA 0
TTG 129 | TCG 4 | TAG 0 | Trp W TGG 26
------------------------------------------------------------------------------
Leu L CTT 26 | Pro P CCT 130 | His H CAT 34 | Arg R CGT 26
CTC 0 | CCC 0 | CAC 70 | CGC 0
CTA 1 | CCA 25 | Gln Q CAA 103 | CGA 2
CTG 0 | CCG 1 | CAG 27 | CGG 24
------------------------------------------------------------------------------
Ile I ATT 122 | Thr T ACT 147 | Asn N AAT 207 | Ser S AGT 78
ATC 8 | ACC 35 | AAC 27 | AGC 0
ATA 27 | ACA 52 | Lys K AAA 104 | Arg R AGA 0
Met M ATG 52 | ACG 0 | AAG 78 | AGG 26
------------------------------------------------------------------------------
Val V GTT 182 | Ala A GCT 236 | Asp D GAT 129 | Gly G GGT 260
GTC 0 | GCC 24 | GAC 27 | GGC 0
GTA 51 | GCA 57 | Glu E GAA 74 | GGA 83
GTG 26 | GCG 21 | GAG 4 | GGG 21
------------------------------------------------------------------------------
Codon position x base (3x4) table, overall
position 1: T:0.25157 C:0.13362 A:0.27436 G:0.34046
position 2: T:0.22222 C:0.24444 A:0.28148 G:0.25185
position 3: T:0.61681 C:0.07094 A:0.18718 G:0.12507
Average T:0.36353 C:0.14967 A:0.24767 G:0.23913
Model 1: NearlyNeutral (2 categories)
TREE # 1: (1, (11, 14, 18, 4), ((10, 9), (12, 13, (15, 7), 16, 2, 8), ((17, 20, 21, 22, 23, 24, 25, 26), 19), 3, 5, 6)); MP score: 21
lnL(ntime: 33 np: 36): -626.619715 +0.000000
27..1 27..28 28..11 28..14 28..18 28..4 27..29 29..30 30..10 30..9 29..31 31..12 31..13 31..32 32..15 32..7 31..16 31..2 31..8 29..33 33..34 34..17 34..20 34..21 34..22 34..23 34..24 34..25 34..26 33..19 29..3 29..5 29..6
0.008333 0.016845 0.000004 0.008072 0.000004 0.000004 0.008088 0.008104 0.000004 0.000004 0.025090 0.008057 0.000004 0.008070 0.008222 0.000004 0.008187 0.000004 0.000004 0.008584 0.007514 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.007550 0.007692 0.016290 0.000004 0.016835 0.000004 32.075891 0.986921 0.000001
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.171601
(1: 0.008333, (11: 0.000004, 14: 0.008072, 18: 0.000004, 4: 0.000004): 0.016845, ((10: 0.000004, 9: 0.000004): 0.008104, (12: 0.008057, 13: 0.000004, (15: 0.008222, 7: 0.000004): 0.008070, 16: 0.008187, 2: 0.000004, 8: 0.000004): 0.025090, ((17: 0.000004, 20: 0.000004, 21: 0.000004, 22: 0.000004, 23: 0.000004, 24: 0.000004, 25: 0.007550, 26: 0.007692): 0.007514, 19: 0.016290): 0.008584, 3: 0.000004, 5: 0.016835, 6: 0.000004): 0.008088);
(C1: 0.008333, (C11: 0.000004, C14: 0.008072, C18: 0.000004, C4: 0.000004): 0.016845, ((C10: 0.000004, C9: 0.000004): 0.008104, (C12: 0.008057, C13: 0.000004, (C15: 0.008222, C7: 0.000004): 0.008070, C16: 0.008187, C2: 0.000004, C8: 0.000004): 0.025090, ((C17: 0.000004, C20: 0.000004, C21: 0.000004, C22: 0.000004, C23: 0.000004, C24: 0.000004, C25: 0.007550, C26: 0.007692): 0.007514, C19: 0.016290): 0.008584, C3: 0.000004, C5: 0.016835, C6: 0.000004): 0.008088);
Detailed output identifying parameters
kappa (ts/tv) = 32.07589
MLEs of dN/dS (w) for site classes (K=2)
p: 0.98692 0.01308
w: 0.00000 1.00000
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
27..1 0.008 351.3 53.7 0.0131 0.0003 0.0193 0.1 1.0
27..28 0.017 351.3 53.7 0.0131 0.0005 0.0390 0.2 2.1
28..11 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
28..14 0.008 351.3 53.7 0.0131 0.0002 0.0187 0.1 1.0
28..18 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
28..4 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
27..29 0.008 351.3 53.7 0.0131 0.0002 0.0187 0.1 1.0
29..30 0.008 351.3 53.7 0.0131 0.0002 0.0188 0.1 1.0
30..10 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
30..9 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
29..31 0.025 351.3 53.7 0.0131 0.0008 0.0581 0.3 3.1
31..12 0.008 351.3 53.7 0.0131 0.0002 0.0187 0.1 1.0
31..13 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
31..32 0.008 351.3 53.7 0.0131 0.0002 0.0187 0.1 1.0
32..15 0.008 351.3 53.7 0.0131 0.0002 0.0191 0.1 1.0
32..7 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
31..16 0.008 351.3 53.7 0.0131 0.0002 0.0190 0.1 1.0
31..2 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
31..8 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
29..33 0.009 351.3 53.7 0.0131 0.0003 0.0199 0.1 1.1
33..34 0.008 351.3 53.7 0.0131 0.0002 0.0174 0.1 0.9
34..17 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
34..20 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
34..21 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
34..22 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
34..23 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
34..24 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
34..25 0.008 351.3 53.7 0.0131 0.0002 0.0175 0.1 0.9
34..26 0.008 351.3 53.7 0.0131 0.0002 0.0178 0.1 1.0
33..19 0.016 351.3 53.7 0.0131 0.0005 0.0378 0.2 2.0
29..3 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
29..5 0.017 351.3 53.7 0.0131 0.0005 0.0390 0.2 2.1
29..6 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
Time used: 1:12
Model 2: PositiveSelection (3 categories)
TREE # 1: (1, (11, 14, 18, 4), ((10, 9), (12, 13, (15, 7), 16, 2, 8), ((17, 20, 21, 22, 23, 24, 25, 26), 19), 3, 5, 6)); MP score: 21
check convergence..
lnL(ntime: 33 np: 38): -626.619715 +0.000000
27..1 27..28 28..11 28..14 28..18 28..4 27..29 29..30 30..10 30..9 29..31 31..12 31..13 31..32 32..15 32..7 31..16 31..2 31..8 29..33 33..34 34..17 34..20 34..21 34..22 34..23 34..24 34..25 34..26 33..19 29..3 29..5 29..6
0.008333 0.016845 0.000004 0.008072 0.000004 0.000004 0.008088 0.008104 0.000004 0.000004 0.025090 0.008057 0.000004 0.008070 0.008222 0.000004 0.008187 0.000004 0.000004 0.008584 0.007514 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.007550 0.007692 0.016290 0.000004 0.016835 0.000004 32.075260 0.986921 0.013079 0.000001 21.596150
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.171601
(1: 0.008333, (11: 0.000004, 14: 0.008072, 18: 0.000004, 4: 0.000004): 0.016845, ((10: 0.000004, 9: 0.000004): 0.008104, (12: 0.008057, 13: 0.000004, (15: 0.008222, 7: 0.000004): 0.008070, 16: 0.008187, 2: 0.000004, 8: 0.000004): 0.025090, ((17: 0.000004, 20: 0.000004, 21: 0.000004, 22: 0.000004, 23: 0.000004, 24: 0.000004, 25: 0.007550, 26: 0.007692): 0.007514, 19: 0.016290): 0.008584, 3: 0.000004, 5: 0.016835, 6: 0.000004): 0.008088);
(C1: 0.008333, (C11: 0.000004, C14: 0.008072, C18: 0.000004, C4: 0.000004): 0.016845, ((C10: 0.000004, C9: 0.000004): 0.008104, (C12: 0.008057, C13: 0.000004, (C15: 0.008222, C7: 0.000004): 0.008070, C16: 0.008187, C2: 0.000004, C8: 0.000004): 0.025090, ((C17: 0.000004, C20: 0.000004, C21: 0.000004, C22: 0.000004, C23: 0.000004, C24: 0.000004, C25: 0.007550, C26: 0.007692): 0.007514, C19: 0.016290): 0.008584, C3: 0.000004, C5: 0.016835, C6: 0.000004): 0.008088);
Detailed output identifying parameters
kappa (ts/tv) = 32.07526
MLEs of dN/dS (w) for site classes (K=3)
p: 0.98692 0.01308 0.00000
w: 0.00000 1.00000 21.59615
(note that p[2] is zero)
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
27..1 0.008 351.3 53.7 0.0131 0.0003 0.0193 0.1 1.0
27..28 0.017 351.3 53.7 0.0131 0.0005 0.0390 0.2 2.1
28..11 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
28..14 0.008 351.3 53.7 0.0131 0.0002 0.0187 0.1 1.0
28..18 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
28..4 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
27..29 0.008 351.3 53.7 0.0131 0.0002 0.0187 0.1 1.0
29..30 0.008 351.3 53.7 0.0131 0.0002 0.0188 0.1 1.0
30..10 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
30..9 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
29..31 0.025 351.3 53.7 0.0131 0.0008 0.0581 0.3 3.1
31..12 0.008 351.3 53.7 0.0131 0.0002 0.0187 0.1 1.0
31..13 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
31..32 0.008 351.3 53.7 0.0131 0.0002 0.0187 0.1 1.0
32..15 0.008 351.3 53.7 0.0131 0.0002 0.0191 0.1 1.0
32..7 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
31..16 0.008 351.3 53.7 0.0131 0.0002 0.0190 0.1 1.0
31..2 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
31..8 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
29..33 0.009 351.3 53.7 0.0131 0.0003 0.0199 0.1 1.1
33..34 0.008 351.3 53.7 0.0131 0.0002 0.0174 0.1 0.9
34..17 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
34..20 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
34..21 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
34..22 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
34..23 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
34..24 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
34..25 0.008 351.3 53.7 0.0131 0.0002 0.0175 0.1 0.9
34..26 0.008 351.3 53.7 0.0131 0.0002 0.0178 0.1 1.0
33..19 0.016 351.3 53.7 0.0131 0.0005 0.0378 0.2 2.0
29..3 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
29..5 0.017 351.3 53.7 0.0131 0.0005 0.0390 0.2 2.1
29..6 0.000 351.3 53.7 0.0131 0.0000 0.0000 0.0 0.0
Naive Empirical Bayes (NEB) analysis
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C1)
Pr(w>1) post mean +- SE for w
The grid (see ternary graph for p0-p1)
w0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
w2: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
w0: 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
w2: 0.267 0.154 0.113 0.092 0.078 0.069 0.063 0.058 0.055 0.052
Posterior for p0-p1 (see the ternary graph) (YWN2015, fig. 1)
0.000
0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.002 0.997
sum of density on p0-p1 = 1.000000
Time used: 3:41
Model 7: beta (10 categories)
TREE # 1: (1, (11, 14, 18, 4), ((10, 9), (12, 13, (15, 7), 16, 2, 8), ((17, 20, 21, 22, 23, 24, 25, 26), 19), 3, 5, 6)); MP score: 21
lnL(ntime: 33 np: 36): -626.731496 +0.000000
27..1 27..28 28..11 28..14 28..18 28..4 27..29 29..30 30..10 30..9 29..31 31..12 31..13 31..32 32..15 32..7 31..16 31..2 31..8 29..33 33..34 34..17 34..20 34..21 34..22 34..23 34..24 34..25 34..26 33..19 29..3 29..5 29..6
0.008039 0.016237 0.000004 0.007789 0.000004 0.000004 0.007803 0.007819 0.000004 0.000004 0.024163 0.007775 0.000004 0.007788 0.007934 0.000004 0.007900 0.000004 0.000004 0.008282 0.007253 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.007289 0.007425 0.015710 0.000004 0.016278 0.000004 32.277548 0.380034 47.323697
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.165553
(1: 0.008039, (11: 0.000004, 14: 0.007789, 18: 0.000004, 4: 0.000004): 0.016237, ((10: 0.000004, 9: 0.000004): 0.007819, (12: 0.007775, 13: 0.000004, (15: 0.007934, 7: 0.000004): 0.007788, 16: 0.007900, 2: 0.000004, 8: 0.000004): 0.024163, ((17: 0.000004, 20: 0.000004, 21: 0.000004, 22: 0.000004, 23: 0.000004, 24: 0.000004, 25: 0.007289, 26: 0.007425): 0.007253, 19: 0.015710): 0.008282, 3: 0.000004, 5: 0.016278, 6: 0.000004): 0.007803);
(C1: 0.008039, (C11: 0.000004, C14: 0.007789, C18: 0.000004, C4: 0.000004): 0.016237, ((C10: 0.000004, C9: 0.000004): 0.007819, (C12: 0.007775, C13: 0.000004, (C15: 0.007934, C7: 0.000004): 0.007788, C16: 0.007900, C2: 0.000004, C8: 0.000004): 0.024163, ((C17: 0.000004, C20: 0.000004, C21: 0.000004, C22: 0.000004, C23: 0.000004, C24: 0.000004, C25: 0.007289, C26: 0.007425): 0.007253, C19: 0.015710): 0.008282, C3: 0.000004, C5: 0.016278, C6: 0.000004): 0.007803);
Detailed output identifying parameters
kappa (ts/tv) = 32.27755
Parameters in M7 (beta):
p = 0.38003 q = 47.32370
MLEs of dN/dS (w) for site classes (K=10)
p: 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000 0.10000
w: 0.00001 0.00011 0.00041 0.00102 0.00204 0.00364 0.00611 0.01001 0.01683 0.03360
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
27..1 0.008 351.3 53.7 0.0074 0.0001 0.0193 0.1 1.0
27..28 0.016 351.3 53.7 0.0074 0.0003 0.0390 0.1 2.1
28..11 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
28..14 0.008 351.3 53.7 0.0074 0.0001 0.0187 0.0 1.0
28..18 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
28..4 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
27..29 0.008 351.3 53.7 0.0074 0.0001 0.0187 0.0 1.0
29..30 0.008 351.3 53.7 0.0074 0.0001 0.0188 0.0 1.0
30..10 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
30..9 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
29..31 0.024 351.3 53.7 0.0074 0.0004 0.0580 0.2 3.1
31..12 0.008 351.3 53.7 0.0074 0.0001 0.0187 0.0 1.0
31..13 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
31..32 0.008 351.3 53.7 0.0074 0.0001 0.0187 0.0 1.0
32..15 0.008 351.3 53.7 0.0074 0.0001 0.0190 0.0 1.0
32..7 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
31..16 0.008 351.3 53.7 0.0074 0.0001 0.0190 0.0 1.0
31..2 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
31..8 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
29..33 0.008 351.3 53.7 0.0074 0.0001 0.0199 0.1 1.1
33..34 0.007 351.3 53.7 0.0074 0.0001 0.0174 0.0 0.9
34..17 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
34..20 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
34..21 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
34..22 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
34..23 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
34..24 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
34..25 0.007 351.3 53.7 0.0074 0.0001 0.0175 0.0 0.9
34..26 0.007 351.3 53.7 0.0074 0.0001 0.0178 0.0 1.0
33..19 0.016 351.3 53.7 0.0074 0.0003 0.0377 0.1 2.0
29..3 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
29..5 0.016 351.3 53.7 0.0074 0.0003 0.0391 0.1 2.1
29..6 0.000 351.3 53.7 0.0074 0.0000 0.0000 0.0 0.0
Time used: 13:46
Model 8: beta&w>1 (11 categories)
TREE # 1: (1, (11, 14, 18, 4), ((10, 9), (12, 13, (15, 7), 16, 2, 8), ((17, 20, 21, 22, 23, 24, 25, 26), 19), 3, 5, 6)); MP score: 21
lnL(ntime: 33 np: 38): -626.618492 +0.000000
27..1 27..28 28..11 28..14 28..18 28..4 27..29 29..30 30..10 30..9 29..31 31..12 31..13 31..32 32..15 32..7 31..16 31..2 31..8 29..33 33..34 34..17 34..20 34..21 34..22 34..23 34..24 34..25 34..26 33..19 29..3 29..5 29..6
0.008365 0.016911 0.000004 0.008104 0.000004 0.000004 0.008119 0.008136 0.000004 0.000004 0.025189 0.008088 0.000004 0.008102 0.008253 0.000004 0.008218 0.000004 0.000004 0.008616 0.007543 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.007580 0.007722 0.016354 0.000004 0.016894 0.000004 32.083582 0.987643 0.005000 15.804391 1.123863
Note: Branch length is defined as number of nucleotide substitutions per codon (not per neucleotide site).
tree length = 0.172262
(1: 0.008365, (11: 0.000004, 14: 0.008104, 18: 0.000004, 4: 0.000004): 0.016911, ((10: 0.000004, 9: 0.000004): 0.008136, (12: 0.008088, 13: 0.000004, (15: 0.008253, 7: 0.000004): 0.008102, 16: 0.008218, 2: 0.000004, 8: 0.000004): 0.025189, ((17: 0.000004, 20: 0.000004, 21: 0.000004, 22: 0.000004, 23: 0.000004, 24: 0.000004, 25: 0.007580, 26: 0.007722): 0.007543, 19: 0.016354): 0.008616, 3: 0.000004, 5: 0.016894, 6: 0.000004): 0.008119);
(C1: 0.008365, (C11: 0.000004, C14: 0.008104, C18: 0.000004, C4: 0.000004): 0.016911, ((C10: 0.000004, C9: 0.000004): 0.008136, (C12: 0.008088, C13: 0.000004, (C15: 0.008253, C7: 0.000004): 0.008102, C16: 0.008218, C2: 0.000004, C8: 0.000004): 0.025189, ((C17: 0.000004, C20: 0.000004, C21: 0.000004, C22: 0.000004, C23: 0.000004, C24: 0.000004, C25: 0.007580, C26: 0.007722): 0.007543, C19: 0.016354): 0.008616, C3: 0.000004, C5: 0.016894, C6: 0.000004): 0.008119);
Detailed output identifying parameters
kappa (ts/tv) = 32.08358
Parameters in M8 (beta&w>1):
p0 = 0.98764 p = 0.00500 q = 15.80439
(p1 = 0.01236) w = 1.12386
MLEs of dN/dS (w) for site classes (K=11)
p: 0.09876 0.09876 0.09876 0.09876 0.09876 0.09876 0.09876 0.09876 0.09876 0.09876 0.01236
w: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 1.12386
dN & dS for each branch
branch t N S dN/dS dN dS N*dN S*dS
27..1 0.008 351.3 53.7 0.0139 0.0003 0.0193 0.1 1.0
27..28 0.017 351.3 53.7 0.0139 0.0005 0.0390 0.2 2.1
28..11 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
28..14 0.008 351.3 53.7 0.0139 0.0003 0.0187 0.1 1.0
28..18 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
28..4 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
27..29 0.008 351.3 53.7 0.0139 0.0003 0.0187 0.1 1.0
29..30 0.008 351.3 53.7 0.0139 0.0003 0.0188 0.1 1.0
30..10 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
30..9 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
29..31 0.025 351.3 53.7 0.0139 0.0008 0.0581 0.3 3.1
31..12 0.008 351.3 53.7 0.0139 0.0003 0.0187 0.1 1.0
31..13 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
31..32 0.008 351.3 53.7 0.0139 0.0003 0.0187 0.1 1.0
32..15 0.008 351.3 53.7 0.0139 0.0003 0.0190 0.1 1.0
32..7 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
31..16 0.008 351.3 53.7 0.0139 0.0003 0.0190 0.1 1.0
31..2 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
31..8 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
29..33 0.009 351.3 53.7 0.0139 0.0003 0.0199 0.1 1.1
33..34 0.008 351.3 53.7 0.0139 0.0002 0.0174 0.1 0.9
34..17 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
34..20 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
34..21 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
34..22 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
34..23 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
34..24 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
34..25 0.008 351.3 53.7 0.0139 0.0002 0.0175 0.1 0.9
34..26 0.008 351.3 53.7 0.0139 0.0002 0.0178 0.1 1.0
33..19 0.016 351.3 53.7 0.0139 0.0005 0.0377 0.2 2.0
29..3 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
29..5 0.017 351.3 53.7 0.0139 0.0005 0.0390 0.2 2.1
29..6 0.000 351.3 53.7 0.0139 0.0000 0.0000 0.0 0.0
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C1)
Pr(w>1) post mean +- SE for w
38 V 1.000** 1.124
Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: C1)
Pr(w>1) post mean +- SE for w
The grid
p0: 0.050 0.150 0.250 0.350 0.450 0.550 0.650 0.750 0.850 0.950
p : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
q : 0.100 0.300 0.500 0.700 0.900 1.100 1.300 1.500 1.700 1.900
ws: 1.500 2.500 3.500 4.500 5.500 6.500 7.500 8.500 9.500 10.500
Posterior on the grid
p0: 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000
p : 1.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
q : 0.000 0.000 0.000 0.001 0.007 0.028 0.075 0.158 0.282 0.448
ws: 0.386 0.165 0.104 0.077 0.061 0.051 0.045 0.040 0.037 0.034
Time used: 23:28
Model 1: NearlyNeutral -626.619715 Model 2: PositiveSelection -626.619715 Model 7: beta -626.731496 Model 8: beta&w>1 -626.618492 Model 2 vs 1 0 Model 8 vs 7 .226008
Not all of the following information may be relevant for the case being handled, since this project may be part of a much larger auto-PSS-genome project where several methods of detection of positively selected sites have been used. As such the aligned.score_ascii file may have more sequences than the file effectively used to detect positively selected codons, since the content of this file reflects the content of the file used for the master alignment, from which a subsample may have been taken. # ### General parameters ### # # The maximum number of sequences to use for the master file sequence_limit=90 # The random seed random_seed=3976763 # ### Alignment ### # # The alignment method: clustalw, muscle, kalign, t_coffee, or amap align_method=muscle # Minimum support value for amino acid positions in the alignment tcoffee_min_score=3 # ### MrBayes ### # # Number of iterations in MrBayes mrbayes_generations=1000000 # MrBayes burnin mrbayes_burnin=2500 # ### FUBAR ### # # The maximum number of sequences to be used by FUBAR. fubar_sequence_limit=90 # The number of FUBAR runs fubar_runs=1 # ### codeML ### # # The maximum number of sequences to be used by CodeML codeml_sequence_limit=30 # The number of CodeML runs codeml_runs=1 # The CodeML models to be run, one or more of: '1', '2', '7', and/or '8'. codeml_models=1 2 7 8 # ### OmegaMap ### # # The maximum number of sequences to use in OmegaMap omegamap_sequence_limit=90 # The number of OmegaMap runs omegamap_runs=1 # The number of OmegaMap iterations omegamap_iterations=2500
Phone: +351 220 408 800
Email: info@i3s.up.pt
Address: Rua Alfredo Allen, 208
4200-135 Porto, Portugal
If you use B+, please cite us:
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2018) Large Scale Analyses and Visualization of Adaptive Amino Acid Changes Projects. Interdisciplinary Sciences: Computational Life Sciences. https://doi.org/10.1007/s12539-018-0282-7
N. Vázquez, C.P. Vieira, B.S.R. Amorin, A. Torres, H. López-Fernández, F. Fdez-Riverola, J.L.R. Sousa, M. Reboiro-Jato, J. Vieira (2017) Automated Collection and Sharing of Adaptive Amino Acid Changes Data. 11th International Conference on Practical Applications of Computational Biology & Bioinformatics. Porto, Portugal. https://doi.org/10.1007/978-3-319-60816-7_3
