Mahmood Naderan <mahmo...@gmail.com>: Apr 17 11:14PM +0200
I found out that the weights I assigned are different from those that are
actually used in the analysis.
Consider the following commands
V1 V2 V3
P1.K1 218 30 10
P2.K1 218 23 15
P2.K2 30 32 17
P2.K3 5 12 14
> res.pca <- PCA(mydata, row.w=c(1,0.1,0.88,0.02))
With that, I want to say that the weight of P1.K1 is 1 because P1 has just
one kernel (K1) while P2 has three kernels and therefore the weights of its
kernels are 0.1,0.88,0.02. However, after running the PCA, I see the
 0.50 0.05 0.44 0.01
I don't know how these weights are calculated but it seems that P1.K1 and
P2.K1 has equal weights which is incorrect.
Any idea about that?