Re: Récapitulatif destiné à factominer-users@googlegroups.com - 1 mise à jour dans 1 sujet

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Kris Lockyear

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Apr 18, 2021, 7:59:39 AM4/18/21
to factomin...@googlegroups.com
The weights have to sum to 1, by the looks of it.

> res.pca$call$row.w
[1] 0.50 0.05 0.44 0.01  = 1

From: factomin...@googlegroups.com <factomin...@googlegroups.com>
Sent: 18 April 2021 11:10
To: Destinataires du récapitulatif <factomin...@googlegroups.com>
Subject: Récapitulatif destiné à factomin...@googlegroups.com - 1 mise à jour dans 1 sujet
 
Mahmood Naderan <mahmo...@gmail.com>: Apr 17 11:14PM +0200

Hi again,
I found out that the weights I assigned are different from those that are
actually used in the analysis.
Consider the following commands
 
> mydata
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
weights are
 
> res.pca$call$row.w
[1] 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?
 
Regards,
Mahmood
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