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