Message-ID: <AANLkTiku1FfCv3KK6Gfd16Vgtm5CsVZrpoZdg7qrOTBm@mail.gmail.com>
Date: 2011-01-28T19:31:27Z
From: Sarah Goslee
Subject: how to get coefficient and scores of Principal component analysis in R?
In-Reply-To: <AD482C282436254DB0ED22BA4B2E7DA1013152CC3C@EX-MB07.ohsu.edu>
By coefficients do you mean loadings?
Anyway, if you read the help for princomp -- ?princomp -- will
get that, you'll see that it says, in part:
?princomp? returns a list with class ?"princomp"? containing the
following components:
sdev: the standard deviations of the principal components.
loadings: the matrix of variable loadings (i.e., a matrix whose columns
contain the eigenvectors). This is of class ?"loadings"?:
see ?loadings? for its ?print? method.
scores: if ?scores = TRUE?, the scores of the supplied data on the
principal components. These are non-null only if ?x? was
supplied, and if ?covmat? was also supplied if it was a
covariance list. For the formula method, ?napredict()? is
applied to handle the treatment of values omitted by the
?na.action?.
So for instance,
myprincomp <- princomp(mydata)
myprincomp$scores # shows the scores
Sarah
On Fri, Jan 28, 2011 at 2:16 PM, Zunqiu Chen <chener at ohsu.edu> wrote:
> Dear All,
>
> It might be a simple question. But I could not find the answer from function ?prcomp? or ?princomp?. Does anyone know what are the codes to get coefficient and scores of Principal component analysis in R?
>
> Your reply will be appreciated!
>
> Best
> Zunqiu
>
--
Sarah Goslee
http://www.functionaldiversity.org