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Hi guys , Im trying to do principal component analysis in R . There is 2 ways of doing it , I believe. One is doing principal component analysis right away the other way is standardizing the matrix first using s = scale(m...
Actually Its for an assignment Michael , all Im looking is some help and suggestions , please dont get it wrong , and I do believe that this is a helpful community . > > This sounds a bit like homework. If that is the case...
so under which cases is it better to standardize the data matrix first ? also is PCA generally used to predict the response variable , should I keep that variable in my data matrix ? Uwe Ligges-3 wrote: > > masterinex wrote: >> >> >> Hi guys...
Hi Hadley , I really apreciate the suggestions you gave, It was helpful , but I still didnt quite get it all. and I really want to do a good job , so any comments would sure come helpful, please understand me . hadley...
this is how my data matrix looks like . This is just for the first 10 observations , but the pattern is similar for the other observations. 1 12.3 154.25 67.75 36.2 93.1 85.2 94.5...
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