Open dill opened 8 years ago
Here is a summary of the current state of this project's conversion:
> cc <- convert_project("inst/CovarWhaleSim-solutions/CovarWhaleSim-solutions") > lapply(cc, test_stats, 1:2) Analysis 1 has status 0 (looking for 1, 2) $`New Analysis` NULL $`simple half normal` Statistic Distance_value mrds_value Difference Pass 1 n 60 60 0 ✓ 2 parameters 1 1 0 ✓ 3 AIC 123.282402 123.282124684581 0.000002249432 ✓ 4 Chi^2 p 0.74608219 0.81519647 0.09263628 5 P_a 0.495654702 0.4956543032077 0.0000008005418 ✓ 6 CV(P_a) 0.0938000008 0.09379349203 0.00006938135 ✓ 7 log-likelihood -60.6412 -60.64106 0 ✓ 8 K-S p 0.709553421 0.709551340139 0.000002931226 ✓ 9 C-vM p 0.8 0.8 0 ✓ 10 density 0.0346334092 0.034633435961 0.0000007495935 ✓ 11 CV(density) 0.140000001 0.1399673888 0.0002329368 ✓ 12 individuals 346 346.3343596098 0.0009663573 ✓ 13 CV(individuals) 0.140000001 0.1399673888 0.0002329368 ✓ $`hz simple` Statistic Distance_value mrds_value Difference Pass 1 n 60 60 0 ✓ 2 parameters 2 2 0 ✓ 3 AIC 125.3172 125.31525125324 0.00001555051 ✓ 4 Chi^2 p 0.57850492 0.6192637 0.07045537 5 P_a 0.491971314 0.494295449 0.004724136 ✓ 6 CV(P_a) 0.15099999 0.14931344 0.01116924 7 log-likelihood -60.65858 -60.65763 0 ✓ 8 K-S p 0.724463403 0.717767651 0.009242356 ✓ 9 C-vM p 0.9 0.8 0.1111111 10 density 0.034892712 0.034728646 0.004701963 ✓ 11 CV(density) 0.183300003 0.181901492 0.007629613 ✓ 12 individuals 349 347.286457784 0.004909863 ✓ 13 CV(individuals) 0.183300003 0.181901492 0.007629613 ✓ $`hn with mstdo` Statistic Distance_value mrds_value Difference Pass 1 n 60 60 0 ✓ 2 parameters 2 2 0 ✓ 3 AIC 111.206703 111.2340711561 0.0002461017 ✓ 4 Chi^2 p 0.6878098 0.609803 0.1134133 5 P_a 0.421816289 0.42184830432 0.00007589635 ✓ 6 CV(P_a) 0.1147 0.11986083 0.04499416 7 log-likelihood -53.60335 -53.61704 0 ✓ 8 K-S p 0.578818917 0.577429567 0.002400324 ✓ 9 C-vM p 0.6 0.5 0.1666667 10 density 0.0406959392 0.04069285426 0.00007582418 ✓ 11 CV(density) 0.1548 0.16190878 0.04592233 12 individuals 407 406.9285426362 0.0001755709 ✓ 13 CV(individuals) 0.1548 0.16190878 0.04592233 $`hn with hour` Statistic Distance_value mrds_value Difference Pass 1 n 60 60 0 ✓ 2 parameters 2 2 0 ✓ 3 AIC 125.029999 154.8669429 0.2386383 4 Chi^2 p 0.639511228 0.00001566709 0.9999755 5 P_a 0.4945715 1 1.021952 6 CV(P_a) 0.0941 0.02125898 0.7740809 7 log-likelihood -60.51498 -75.43347 0 ✓ 8 K-S p 0.70727402 0.000001678763 0.9999976 9 C-vM p 0.8 0 1 10 density 0.03470926 0.01716621 0.5054285 11 CV(density) 0.1401 0.1060452 0.2430747 12 individuals 347 171.6621158 0.5052965 13 CV(individuals) 0.1401 0.1060452 0.2430747 $`hn with mstdo and hour` Statistic Distance_value mrds_value Difference Pass 1 n 60 60 0 ✓ 2 parameters 3 3 0 ✓ 3 AIC 113.143997 156.8669429 0.3864363 4 Chi^2 p 0.571274579 0.000005210056 0.9999909 5 P_a 0.4219032 1 1.370212 6 CV(P_a) 0.1159 0.0196508 0.8304504 7 log-likelihood -53.57201 -75.43347 0 ✓ 8 K-S p 0.385163397 0.000001678763 0.9999956 9 C-vM p 0.6 0 1 10 density 0.04068756 0.01716621 0.5780968 11 CV(density) 0.1556 0.1057346 0.3204717 12 individuals 407 171.6621159 0.5782258 13 CV(individuals) 0.1556 0.1057346 0.3204717 $`hn with mstdo with 10% right` Statistic Distance_value mrds_value Difference Pass 1 n 54 54 0 ✓ 2 parameters 2 2 0 ✓ 3 AIC 76.0550537 76.273994966 0.002878721 ✓ 4 Chi^2 p 0.1665688 0.3637715 1.183912 5 P_a 0.613814414 0.609625886 0.006823747 ✓ 6 CV(P_a) 0.0994 0.122885 0.2362681 7 log-likelihood -36.02752 -36.137 0 ✓ 8 K-S p 0.70766592 0.69112666 0.02337154 9 C-vM p 0.7 0.7 0 ✓ 10 density 0.039602999 0.039675718 0.001836164 ✓ 11 CV(density) 0.1409 0.1609168 0.1420639 12 individuals 396 396.7571762 0.001912061 ✓ 13 CV(individuals) 0.1409 0.1609168 0.1420639 $`hn with hour and mstdo with 10% right 1` Statistic Distance_value mrds_value Difference Pass 1 n 54 54 0 ✓ 2 parameters 3 3 0 ✓ 3 AIC 78.015007 93.3695673 0.1968155 4 Chi^2 p 0.1115609 0.01277057 0.8855283 5 P_a 0.6130095 1 0.6312961 6 CV(P_a) 0.1009 0.01158128 0.8852203 7 log-likelihood -36.00751 -43.68478 0 ✓ 8 K-S p 0.75799853 0.01182895 0.9843945 9 C-vM p 0.7 0 1 10 density 0.039655 0.02418734 0.3900556 11 CV(density) 0.142 0.1006392 0.2912733 12 individuals 397 241.873445 0.390747 13 CV(individuals) 0.142 0.1006392 0.2912733
Comments
Hour
mrds
readdst
Here is a summary of the current state of this project's conversion:
Comments
Houris included as a covariatemrdsdoes something weird when fitting. This is not areaddstissue, I think (see this comment.