Thanks David!!! You have helped me tremendously! Thanks to all others for their
input. I'll get out of your hair now :)
On Monday, November 30, 2015 10:48 AM, David L Carlson <dcarl...@tamu.edu>
wrote:
If it is just a plot of the variables by their loadings on the first two
components, this should do it:
> dat <- data.frame(matrix(rnorm(100), 10, 5))
> dat.pca <- prcomp(dat)
> plot(dat.pca$rotation[, 1:2])
> text(dat.pca$rotation[, 1:2], colnames(dat), pos=3)
Or if you don't want the symbols just the names, change the last two lines:
> plot(dat.pca$rotation[, 1:2], type="n")
> text(dat.pca$rotation[, 1:2], colnames(dat))
-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-----Original Message-----
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Boris Steipe
Sent: Monday, November 30, 2015 9:01 AM
To: debra ragland
Cc: r-help
Subject: Re: [R] PCA plot of variable names only
Please keep communications on list.
This is too confused to continue productively.
See here: http://adv-r.had.co.nz/Reproducibility.html
http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
... and please read the posting guide and don't post in HTML.
> Hi,
>
> I've tried this -- before your suggestion -- R throws an error at the plot
> argument stating that the figure margins are too large and the text argument
> staring that there is an invalid graphics state.
>
> The figure that I am referring to is similar to figure 4 here;
> Computing and visualizing PCA in R
>
>
>
>
>
>
>
>
>
> Computing and visualizing PCA in R
> Following my introduction to PCA, I will demonstrate how to apply and
> visualize PCA in R. There are many packages and functions that can apply PCA
> in R. In this po...
> View on www.r-bloggers.com
> Preview by Yahoo
>
> Without the circle (or gray background, but this is minor) enclosing the
> variables. I am currently trying to figure out how to the adapt the code to
> my needs but I am struggling.
>
>
>
> On Monday, November 30, 2015 9:25 AM, Boris Steipe <boris.ste...@utoronto.ca>
> wrote:
>
>
> Your description is obscure but the following may get you started. The
> function prcomp() returns a list in which the matrix x contains the rotated
> values of your input. Assuming that your "variable names" are the rownames of
> your input, you can plot them with text().
>
> Something like (untested):
>
> myPCA <- prcomp(someData)
> plot(myPCA$x[,1], myPCA$x[,2], type = "n")
> text(myPCA$x[,1], myPCA$x[,2], rownames(someData))
>
> B.
>
>
>
> On Nov 30, 2015, at 8:56 AM, debra ragland via R-help <r-help@r-project.org>
> wrote:
>
> > Hello,
> >
> > A colleague of mine prepared a PCA plot of my data and I have no clue how
> > he did it. My original data set contains 15 variables and 64 observations.
> > I have been trying to figure out how he did it on my own, and I have asked
> > but he's swamped so his response is taking longer than usual. Anywho, the
> > plot is simply of PC1 vs. PC2 and in the area of the plot there are just
> > the variable names aligned with values I'm guessing are the loadings (?) I
> > have been searching around and I do not think that this was done via
> > biplot. I am also not sure what is normally plotted on a PCA plot of this
> > type (e.g. loadings, scores, sdevs -- no clue). Again, the 15 variable
> > names (var1, var2, var3 etc) are all that is contained in this plot,
> > aligned with their respective values projected onto the first 2 PCs.
> >
> > Any idea on how to generate such a plot based on this description?
>
> >
> > [[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.
>
>
>
______________________________________________
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[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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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.
