Thanks everyone,
Paul
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pgseye wrote:
After doing a PCA using princomp, how do you view how much each component
contributes to variance in the dataset. I'm still quite new to the theory of
PCA - I have a little idea about eigenvectors and eigenvalues (these
determine the variance explained?). Are the eigenvalues related
I did PCA stuff years there is a thing that is called a scree score
Which will give an indication of the number of PCA's and the variance
explained.
Might want to web search on scree score and PCA.
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of pgseye
Hi Paul,
>> how do you view how much each component contributes to variance in the
>> dataset ...
It helps to read the help:
?princomp
?prcomp
Contributions to inertia or variance are reported as standard deviations
(princomp.obj$sdev). So square these values to get the variance accounted
for
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