"Meinhard H. Schroeder" <meinhard.h...@gmail.com>: Apr 05 11:46AM +0200
You can use the subcommand row.w. Example below: 23 individuals with 23 different weights.
res<-PCA(Dataset.PCA , scale.unit=TRUE, ncp=5, quali.sup=c(94: 94), graph = FALSE,
row.w an optional row weights (by default, a vector of 1 for uniform row weights); the weights are given only for the active individuals
Von: factomin...@googlegroups.com [mailto:factomin...@googlegroups.com] Im Auftrag von Mahmood Naderan
Gesendet: Montag, 5. April 2021 10:36
Betreff: Weighted PCA
I didn't find an option in PCA/CA/FAMD functions for dealing with weighted data points.
Assume for a variable (V1), the value of the first individual (X) is 86% and the value of the second individual (Y) is 3% and so on. I would like to assign a weight vector like (0.55, 0.12, ...) to them. Any idea about that?
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