Hi all My data table (g) contains a continues data column (plant.height) and other columns (columns 8 to 57),
each with number of levels of different factors. ANOVA test was done and the p-values were extracted as follos: a <- function(x) anova(lm(plant.height ~ x))$"Pr(>F)"[1] r<- apply(g[,8:57],2,a) If I try to do a Kruskal-Wallis test : kw <- function(x) kruskal.test(plant.height ~ x)$"p.value" r.kw <- apply(g[,8:57],2,kw) I get the following error message: Error in kruskal.test.default(c(0.16, 0, 0.007, 0.078, 0, 0.08, 0.19, : all group levels must be finite Why do I get this error ? (the values in c() are the plant.height values) Thanks -- View this message in context: http://r.789695.n4.nabble.com/Kruskal-Walllis-test-tp2311712p2311712.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list 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.
