Thanks for your insight, David But I am not interested in comparing means among multiple groups. Instead, I want to compare empirical distributions. In this case, I am not sure if wilcoxon should be still applicable.
still appreciate it. On Fri, May 29, 2015 at 1:32 PM, David Winsemius <dwinsem...@comcast.net> wrote: > > On May 29, 2015, at 9:31 AM, Wensui Liu wrote: > >> Good morning, All >> I have a stat question not specifically related to the the programming >> language. >> To compare distributional consistency / discrepancy between two >> samples, we usually use kolmogorov-smirnov test, which is implemented >> in R with ks.test() or in SAS with "pro npar1way edf". >> I am wondering if there is any alternative to KS test that could be >> generalized to K-samples. > > The 'coin' package (Hothorn, Hornick, van de Weil, and Zeileis) presents a > variety of permutation and rank-based tests that would probably be more > powerful than any multi-group variant of the KS test. The multi-group variant > of the Wilcoxon Rank Sum Test presented in the examples for the help page: > ?wilcox_test is the Nemenyi-Damico-Wolfe-Dunn test. > > -- > > David Winsemius > Alameda, CA, USA > -- ============================== WenSui Liu Credit Risk Manager, 53 Bancorp wensui....@53.com 513-295-4370 ============================== ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
