Hi, dat<-read.table(text=" 1 0 1 1 1 1 0 0 1 0 0 1 1 0 0 0 0 0 2 1 1 2 1 1 ",sep="",header=FALSE) which(sapply(seq_len(nrow(dat)),function(i) wilcox.test(unlist(dat[i,]))$p.value)>0.05) #there will be warnings() though #[1] 2 3 table(sapply(seq_len(nrow(dat)),function(i) wilcox.test(unlist(dat[i,]))$p.value)>0.05)
#FALSE TRUE # 2 2 Regarding the warnings(), please check: http://r.789695.n4.nabble.com/What-are-ties-Wilcox-u-test-td857059.html A.K. I have some data like this... 1 1 0 1 1 1 1 2 0 0 1 0 0 1 3 1 0 0 0 0 0 4 2 1 1 2 1 1 and I have a expression lapply(Wilcox.test, function(testNew) apply(Specc[,-c(1:3)],1,function(x) get(testNew)(x)$p.value)) that gives me a p-values for each row. I need to count how many p-values are more than 0.05. How can I do this? I have always different errors... Thank you ______________________________________________ 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.
