Did you try: cor(mat, method="kendall", use="pairwise")
That only provides the matrix (so the equiv of the $r list component), but that seems to be all you need. On Fri, Jun 17, 2016 at 5:47 AM, Shane Carey <careys...@gmail.com> wrote: > Hi, > > I was hoping someone could help me. I was wondering are there any libraries > available to undertake a kendall correlation on a matrix of data, in the > same way as what can be undertaken with the rcorr function: > > cormatrix = rcorr(as.matrix(A), type='spearman') > cordata = melt(cormatrix$r) > ggplot(cordata, aes(x=Var1, y=Var2, fill=value)) + > geom_tile() + xlab("") + ylab("") > > Thanks > > -- > Le gach dea ghui, > Shane > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.