It looks like you can if I understand properly. Try this
dat1 <- data.frame(dat1$scores)
dat1$items <- rownames(data1)
ggplot(dat1, aes(Comp.1, Comp.2, colour = items)) + geom_point() +
theme(legend.position="none")
John Kane
Kingston ON Canada
> -----Original Message-----
> From: a...@walla.co.il
> Sent: Wed, 10 Jul 2013 06:09:00 -0700 (PDT)
> To: r-help@r-project.org
> Subject: [R] PCA and gglot2
>
> Hi,
>
> I was trying as well as looking for an answer without success (a bit
> strange
> since it should be an easy problem) and therefore I will appreciate you
> help:
>
> My simple script is:
> # Loadings data of 5 columns and 100 rows of data
> data1<-read.csv("C:/…/MyPCA.csv")
> pairs(data1[,1:4])
> pca1 <- princomp(data1[,1:4], score=TRUE, cor=TRUE)
> biplot(pca1)
>
> The biplot present the data points as numbers. How can I present the data
> point in color (depends on their group-column 5). I was thinking about
> doing
> it using ggplot2 but I can not succeed. Any idea how to do it?
>
> Thanks
>
>
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/PCA-and-gglot2-tp4671225.html
> Sent from the R help mailing list archive at Nabble.com.
>
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