Hi All，
How to do t.test to rows (with two levels, or in other words, groups of
samples) of a dataframe using apply family function? I have done that using
function and loops. And my overall purpose is to calculate DE genes from two
groups of miRNA microarray samples. And I know limma can do that, but it seems
limma doesn't support paired t-test.
t.test.df=function(df,paired){
df.t=c()
for(i in 1:nrow(df)){
df.t=rbind(df.t,unlist(t.test(df[i,grp1],df[i,grp2],paired=paired)))
}
rownames(df.t)=rownames(df)
df.t
}
Bests!
Allen Chiu
2014-08-26
[[alternative HTML version deleted]]
______________________________________________
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.
