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2005 Jul 21
1
principal component analysis in affy
.....................................................1.0439 . . . . g99 1.3657..........................................................................2.3736 i.e. a matrix of 63 columns and 99 rows, where the columns represent chip and rows represent genes. Now, the biplot function biplot(prcomp(pcadata, scale = TRUE), cex = c(0.75,0.75)) gives me a plot with one vector per gene. However, I actually need to get one vector per chip instead of one vector per gene. I have been told that there is a function in the affy package that does what I am looking for i.e. gives one vector per chip. Can some...