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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Mar 7, 2021, 5:34:47 AMMar 7
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PCA(test[,-c(3)],quali.sup=4)


From: factomin...@googlegroups.com <factomin...@googlegroups.com>
Sent: 07 March 2021 10:10
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>: Mar 07 10:14AM +0100

Hi again,
Still the previous problems exist. When I use quali.sup, I am not able to
specify which columns to be used in pca. May I know how to fix that?
 
 
> library(FactoMineR)
> mydata <- read.csv('test.csv', header=T,row.names=1)
> mydata
V1 V2 V3 V4 CTG
P1 73.6 0.7 74.6 3.1 A1
P2 75.2 0.7 75.8 2.8 B1
P3 6.5 0.0 7.3 2.5 B1
P4 41.4 0.3 39.2 8.9 C1
P5 5.4 0.1 18.2 1.1 A1
P6 18.8 0.3 30.3 7.3 C1
> res.pca <- PCA(mydata[,c(1,2,4)])
> res.pca <- PCA(mydata[,c(1,2,4)],quali.sup=5)
Error in `[.data.frame`(Xtot, , quali.sup, drop = FALSE) :
undefined columns selected
 
 
Regards,
Mahmood
 
 
 
 
On Mon, Feb 22, 2021 at 11:13 PM Mahmood Naderan <mahmo...@gmail.com>
wrote:
 
Ce résumé vous a été envoyé, car vous êtes abonné aux actualités de ce groupe. Vous pouvez modifier vos paramètres sur la page d'abonnement au groupe.
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Mahmood Naderan

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Mar 7, 2021, 5:40:25 AMMar 7
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Hi Kris,
Yes that works. However, I wonder why the quali.sup index is now 4 and not 5.


Regards,
Mahmood





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Kris Lockyear

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Mar 15, 2021, 6:14:53 AMMar 15
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As I understand it, PCA + supp  is a PCA (of quantitative variables) to which the supplementary variable(s) are compared.

FAMD is undertaking an analysis of both types.  In other words, in PCA + supp, the supplementary variables are NOT contributing to the results, in FAMD all the included variables are contributing.

K.

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>: Mar 14 06:36PM +0100

Hi,
I would like to know what is the difference between FAMD and PCA+quali.sup?
As I see the manual [1], it says that FAMD is between PCA and MCA which
deals with both qualitative and quantitative variables. On the other hand,
with PCA() it is also possible to pass quali.sup to the function. I use
that with one qualitative variable column and it puts the categories as the
center of mass for the individuals.
 
So, I would like to know what problem can FAMD solve that PCA+quali.sup
isn't capable of?
 
[1]
http://www.sthda.com/english/articles/31-principal-component-methods-in-r-practical-guide/115-famd-factor-analysis-of-mixed-data-in-r-essentials/
 
Regards,
Mahmood

Mahmood Naderan

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Mar 17, 2021, 5:24:45 AMMar 17
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Thanks kris. That was a good hint.

Regards,
Mahmood





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