Both MATLAB and R generate the same test statistic, but differ in their p-values. For a p-value that small, you're getting to the point where the probabilities involved are on the order of a random bit flip in your computer's memory, so I wouldn't worry about that too much. A quick look at the R documentation suggests that the approximation used can break down for small sample sizes and that an exact test is only possible with more data. MATLAB didn't provide as much detail about how they converted the test statistic to p-value.
In other words, don't worry about it. You should be trying to interpret p values as a precise number anyway, especially on such a small sample. Best, Phillip On 19/11/2019 22:35, Zhou, Xionghui wrote: > Dear Phillip, > Thanks for your reply. If I use two-sample KS test in R to test whether one > vector is significantly smaller than another vector, I use the command below > as a demo: p = ks.test((1:10), (20:200), alternative = "greater"). The p is > 5.873e-09. However, If I use Matlab to do the same case: > [~,p]=kstest2((1:10)',(20:200)','tail','larger'). P-value is 8.2222e-10. The > differences are also present in other method, such as Wilcoxon rank sum test > and Poission test. Thanks! > > Regards, > > > Xionghui > > On 11/18/19, 11:26 AM, "Phillip Alday" <phillip.al...@mpi.nl> wrote: > > Dear Xionghui, > > Cross-posting to two lists simultaneously generally isn't desirable. > > Can you provide a minimum working example (code+data) for this? > Otherwise, it's hard to see what's going on. > > Best, > Phillip > > > > On 11/11/19 9:50 pm, Zhou, Xionghui wrote: > > Hi guys, > > > > > > Recently, when I try to repeat my method using R, which was implemented > in Matlab before, I found that the p-values for the two-sample ks-test in the > two languages are different, even with the same data and parameters (The > p-value in R is greater than the one in Matlab). In the meanwhile, the > p-values of two-sample ks-test are the same in Matlab and python. In > addition, I also test the p-value in Mann-Whitney-Wilcoxon test and Poission > test, the p-values for the tests in R and Matlab are also different. Of > course, the difference in two-sample ks-test is the most significant. May > anyone tell me the reason for that and which language is more reliable? > Thanks in advance! > > > > > > Best, > > > > > > > > Xionghui > > > > > > Xionghui Zhou Ph.D. > > Research Fellow > > Division of Human Genetics > > Cincinnati Children�s Hospital Medical Center > > > > Phone: +1 (513) 636-4200 > > Email: xionghui.z...@cchmc.org<mailto:yaping....@cchmc.org> > > Office: R1.1026 > > 3333 Burnet Ave > > Cincinnati, OH 45229 > > > > > > [[alternative HTML version deleted]] > > > > > > _______________________________________________ > > R-SIG-Robust@r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-sig-robust > > > > _______________________________________________ R-SIG-Robust@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-robust
