gianni lavaredo
2012-Mar-26 19:32 UTC
[R] Different result with "kruskal.test" and post-hoc analysis with Nemenyi-Damico-Wolfe-Dunn test implemented in the help page for oneway_test in the coin package that uses multcomp
Dear Researchers, Sorry for this email but I am not a statistician, and for this I have this problem to understand. Thanks in Advance for help and suggestions. Gianni I have 21 classes (00, 01, 02, 04, ....,020) with different length. I did a kruskal wall test in R with the following code kruskal.test(m.class.l, m.class.length.lf) Kruskal-Wallis rank sum test data: m.class.l and m.class.length.lf Kruskal-Wallis chi-squared = 34.2904, df = 20, p-value = 0.02423 the p-value result to be < of 0.05, and i read in different books and forum that when the medium are significative difference to apply a post-hoc test to check which classes are different. i find this code in a R help: http://stackoverflow.com/questions/2478272/kruskal-wallis-test-with-details-on-pairwise-comparisons class <- m.class.length.lf var <- m.class.l dft <- data.frame(class,var) NDWD <- oneway_test(var ~ class, data = dft, ytrafo = function(data) trafo(data, numeric_trafo = rank), xtrafo = function(data) trafo(data, factor_trafo = function(x) model.matrix(~x - 1) %*% t(contrMat(table(x), "Tukey"))), teststat = "max", distribution = approximate(B=1000)) ### global p-value print(pvalue(NDWD)) [1] 0.074 99 percent confidence interval: 0.05425181 0.09791886 ### sites (I = II) != (III = IV) at alpha = 0.01 (page 244) print(pvalue(NDWD, method = "single-step")) when I apply the code for my data for see details for each pair comparison, no class comparision is significative> prova <- pvalue(NDWD, method = "single-step") > prova.df <- data.frame(prova) > prova.df$sing <- Signif(prova.df$V1) > prova.dfV1 sing 01 - 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