how about ggbiplot package on github?


On Wed, Jul 10, 2013 at 2:13 PM, John Kane <jrkrideau@inbox.com> wrote:

> 'Sorry I made a mistake .  I was using some data of my own and didn't make
> some key changes to the script to match your variables.
>
>
> dat1  <-  data.frame(pca1 $scores)  # creates the data.frame
> dat1$items  <-  rownames(data1pca1 ) # adds item names
> ggplot(dat1, aes(Comp.1, Comp.2, colour = items)) + geom_point() +
>    theme(legend.position="none")
>
> A quick look suggests that this is roughly the same plot as in the example
> Fig 4 but there the author is using geom_segment to add the lines but I
> have not looked at it all that carefully.
>
>
>
>
>
> John Kane
> Kingston ON Canada
>
>
> > -----Original Message-----
> > From: ashz@walla.co.il
> > Sent: Wed, 10 Jul 2013 11:02:11 -0700 (PDT)
> > To: r-help@r-project.org
> > Subject: Re: [R] PCA and gglot2
> >
> > Hi,
> >
> > Thanks. Fig 4 in the link you provided is what I am looking for.
> >
> > I still do not know how to implement my data1 and pca1 in the script you
> > provided as I think it is only a part of a full script.
> > "
> > data1<-read.csv("C:/…/MyPCA.csv")
> > pca1 <- princomp(data1[,1:4], score=TRUE, cor=TRUE)
> > "
> >
> > Am I right, how can I implement my data.frames?
> >
> > Thanks again
> >
> >
> >
> > --
> > View this message in context:
> > http://r.789695.n4.nabble.com/PCA-and-gglot2-tp4671225p4671237.html
> > Sent from the R help mailing list archive at Nabble.com.
> >
> > ______________________________________________
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> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
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-- 
Stephen Sefick
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Auburn University
Biological Sciences
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