Hi ,
To my knowledge, there're two functions that can do principal component
analysis, princomp and prcomp.
I don't really know the difference; the only thing I know is that when
the sample size < number of variable, only prcomp will work. Could someone
tell me the difference or where I can find easy-to-read reference?
To access the first PC using princomp:
Mpca<-princomp(M, cor=T)
Mpca$scores[,1]
How can I access the first PC using prcomp?
Mpca<-prcomp(M)
Is there an option for "cor=T"?
In case where both functions work, will the results be the same?
Thanks,
Miao
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