[R] [R-pkgs] skedastic: Heteroskedasticity Diagnostics for Linear Regression Models

Dear All, Allow me to re-introduce the skedastic package (version 1.0.0) which now implements more than 20 different heteroskedasticity tests for the linear regression model, as well as a graphical diagnostic tool and some helper functions with broader applications (e.g., computing probability dis

[R] [R-pkgs] Introducing skedastic: Heteroskedasticity Diagnostics for Linear Regression Models

ell as one very new test that appeared in the literature only in 2019. Feedback on bugs/issues is most welcome at https://github.com/tjfarrar/skedastic and reviews are welcome at crantastic: https://crantastic.org/packages/skedastic Sincerely, Thomas Farrar Cape Peninsula University of Technology;

Re: [R] Equivalence of Mann-Whitney test and Kruskal-Wallis test with k=2

inuity correction makes a > difference). > > HTH, Michael > > > -Original Message- > > From: r-help-boun...@r-project.org > > [mailto:r-help-boun...@r-project.org] On Behalf Of David Scott > > Sent: Dienstag, 8. September 2009 07:02 > > To: Thomas Farrar > &

[R] Equivalence of Mann-Whitney test and Kruskal-Wallis test with k=2

Hi all, The Kruskal-Wallis test is a generalization of the two-sample Mann-Whitney test to *k* samples. That being the case, the Kruskal-Wallis test with *k*=2 should give an identical p-value to the Mann-Whitney test, should it not? x1<-c(1:5) x2<-c(6,8,9,11) a<-wilcox.test(x1,x2,paired=FALSE)