Re: [R] Kendall heat map

[Shane Carey]

I also need the significance value

Thanks

On Fri, Jun 17, 2016 at 11:11 AM, boB Rudis  wrote:

> Did you try:
>
> cor(mat, method="kendall", use="pairwise")
>
> That only provides the matrix (so the equiv of the $r list component),
> but that seems to be all you need.
>
> On Fri, Jun 17, 2016 at 5:47 AM, Shane Carey  wrote:
> > Hi,
> >
> > I was hoping someone could help me. I was wondering are there any
> libraries
> > available to undertake a kendall correlation on a matrix of data, in the
> > same way as what can be undertaken with the rcorr function:
> >
> > cormatrix = rcorr(as.matrix(A), type='spearman')
> > cordata = melt(cormatrix$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.
>



-- 
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.

Re: [R] Kendall heat map

[boB Rudis]

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  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.

Re: [R] Kendall heat map

[Jim Lemon]

Hi Shane,
Try the "Kendall" package.

Jim


On Fri, Jun 17, 2016 at 7:47 PM, Shane Carey  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.

[R] Kendall heat map

[Shane Carey]

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.