stats.dat

有趣的模拟进化的程序 由国外一生物学家开发 十分有趣

# Generic Statistics Data
# Fri Nov 28 19:59:44 2008
#  1: update
#  2: average inferiority (energy)
#  3: ave probability of any mutations in genome
#  4: probability of any mutations in dom genome
#  5: log(average fidelity)
#  6: log(dominant fidelity)
#  7: change in number of genotypes
#  8: genotypic entropy
#  9: species entropy
# 10: depth of most reacent coalescence

0 0.000000 0.097500 0.562358 0.102587 0.826353 1 0.000000 0.000000 0 
100 0.0257719 0.562452 0.562358 0.826569 0.826353 0 3.56861 0 0 
200 0.0147493 0.564075 0.562358 0.830284 0.826353 0 5.4664 0 0 
300 0.0403892 0.568607 0.565514 0.840736 0.833591 0 6.48981 0 0 
400 0.0569011 0.569509 0.565514 0.842829 0.833591 6 7.20924 0 0 
500 0.015567 0.576716 0.580956 0.859712 0.869779 8 7.65834 0 0 
600 0.0365307 0.585659 0.565514 0.881066 0.833591 -10 7.8419 0 0 
700 -0.0109732 0.590567 0.559179 0.892982 0.819116 -7 7.87098 0 0 
800 1.15705 0.594069 0.568647 0.901573 0.840829 7 7.88602 0 0 
900 0.0863764 0.593077 0.555977 0.899131 0.811878 -6 7.88608 0 0 
1000 1.01339 0.59068 0.555977 0.893259 0.811878 5 7.86949 0 0 
1100 0.553502 0.579956 0.565514 0.867396 0.833591 23 7.85145 0 0 
1200 -1.82855 0.573357 0.568647 0.851807 0.840829 -2 7.82957 0 0 
1300 1.71271 0.56328 0.555977 0.828462 0.811878 3 7.81005 0 0 
1400 1.27343 0.56684 0.552751 0.836648 0.80464 2 7.81383 0 0 
1500 0.915064 0.564091 0.562358 0.830321 0.826353 -6 7.80601 0 0 
1600 1.28131 0.565857 0.555977 0.834381 0.811878 -7 7.79461 0 0 
1700 -0.161606 0.567527 0.549502 0.838236 0.797403 0 7.78693 0 13 
1800 0.520367 0.572033 0.555977 0.84871 0.811878 1 7.79837 0 13 
1900 0.606805 0.568553 0.562358 0.840612 0.826353 6 7.80545 0 13 
2000 1.97702 0.567737 0.54623 0.83872 0.790165 9 7.78991 0 13 
2100 0.812224 0.564166 0.562358 0.830493 0.826353 7 7.75648 0 13 
2200 1.08796 0.561697 0.552751 0.824846 0.80464 -6 7.76688 0 13 
2300 0.799617 0.559248 0.549502 0.819273 0.797403 5 7.76529 0 14 
2400 0.667934 0.556123 0.54623 0.812208 0.790165 -8 7.75292 0 14 
2500 -0.132987 0.551731 0.54623 0.802362 0.790165 8 7.74179 0 28 
2600 0.522893 0.550408 0.549502 0.799415 0.797403 -7 7.73936 0 45 
2700 0.493917 0.549372 0.54623 0.797113 0.790165 -10 7.73327 0 46 
2800 0.432106 0.548172 0.539614 0.794453 0.77569 2 7.74844 0 46 
2900 0.483207 0.547778 0.552751 0.793583 0.80464 1 7.76187 0 81 
3000 0.45659 0.547281 0.53627 0.792484 0.768452 11 7.76625 0 81 
3100 0.468885 0.548274 0.53627 0.79468 0.768452 -1 7.75651 0 81 
3200 0.442102 0.54763 0.552751 0.793254 0.80464 -3 7.72183 0 81 
3300 0.423046 0.54753 0.555977 0.793033 0.811878 -2 7.75754 0 81 
3400 0.430409 0.547781 0.555977 0.793588 0.811878 2 7.75157 0 81 
3500 0.445791 0.546412 0.54623 0.790566 0.790165 2 7.74623 0 81 
3600 0.453463 0.54629 0.549502 0.790298 0.797403 5 7.74743 0 81 
3700 0.427263 0.546346 0.549502 0.790421 0.797403 -25 7.74162 0 81 
3800 0.412892 0.547442 0.54623 0.79284 0.790165 -8 7.75415 0 81 
3900 0.383502 0.546625 0.549502 0.791035 0.797403 1 7.73074 0 81 
4000 0.367613 0.544389 0.549502 0.786116 0.797403 5 7.70613 0 81 
4100 0.393474 0.543553 0.552751 0.784284 0.80464 -2 7.70867 0 81 
4200 0.71994 0.542752 0.54623 0.782529 0.790165 4 7.75145 0 81 
4300 0.344551 0.543455 0.53627 0.784068 0.768452 1 7.74706 0 81 
4400 0.311401 0.543391 0.526091 0.783929 0.746739 6 7.724 0 81 
4500 0.304138 0.543012 0.526091 0.783098 0.746739 11 7.72328 0 81 
4600 0.363257 0.542216 0.539614 0.781358 0.77569 -12 7.72964 0 81 
4700 0.341298 0.541624 0.539614 0.780066 0.77569 -1 7.7507 0 81 
4800 0.698613 0.54199 0.54623 0.780865 0.790165 7 7.7329 0 81 
4900 0.2886 0.542569 0.555977 0.78213 0.811878 12 7.73437 0 81 
5000 0.318522 0.543948 0.549502 0.785149 0.797403 -6 7.71139 0 81 
5100 0.656799 0.545371 0.539614 0.788274 0.77569 4 7.75677 0 81 
5200 0.339502 0.545452 0.519181 0.788453 0.732264 -4 7.71282 0 81 
5300 0.641038 0.545209 0.54623 0.787918 0.790165 0 7.74414 0 81 
5400 0.289606 0.545687 0.526091 0.788969 0.746739 -7 7.74591 0 81 
5500 0.559369 0.546324 0.539614 0.790372 0.77569 10 7.74201 0 81 
5600 0.587387 0.543468 0.54623 0.784097 0.790165 -12 7.71087 0 81 
5700 0.553484 0.53971 0.54623 0.775899 0.790165 -6 7.70697 0 81 
5800 0.521857 0.538641 0.542934 0.773578 0.782927 23 7.75507 0 81