Yes. I know for certain that "mydata.txt" is ordered as an nxm matrix with n
objects and m variables.
Being that the data is transposed prior to performing the PCA, the rotation
matrix ends up being given in terms of object loadings on the principal
components, rather than variables as it's normal
Well, did you try it with a simple test case to see what comes out?
Do you have a sample "mydata.txt" file so you know how it's ordered in
the first place?
Carl
From: christopher stratton
Date: Fri, 19 Aug 2011 23:10:07 -0400
Dear All,
I have come upon an R-mode PCA protocol that uses the
Dear All,
I have come upon an R-mode PCA protocol that uses the following arguments,
where "mydata.txt" is an nxm matrix of n objects and m variables:
> a <- read.table("mydata.txt")
> b <- t(a)
> c <- prcomp(b)
> c$rotation
The user then plots the coordinates given by c$rotation (PC1 and PC2) a
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