[R] how to get coefficient and scores of Principal component analysis in R?
sarah.goslee at gmail.com
Fri Jan 28 20:31:27 CET 2011
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
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
So for instance,
myprincomp <- princomp(mydata)
myprincomp$scores # shows the scores
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!
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