FactoMineR users

Bonjour, Petite question concernant missMDA et les variables qualitatives supplémentaires. J'ai

Yes I know the final summation of weights are 1. However as you said, it has recalibrated the weights

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

Good day friends: Can anyone help me how to reduce this tree size?? i cant visualize the lower of the

Hi Jonatan, You have to update all the packages FactoMineR, Factoshiny, FactoInvestigate. And if you

CA is inherently weighted so no need to do that for counts. K. From: factominer-users@googlegroups.

Hi The variable V2 is well projected on the plane. And the cos² is similar to the cos² of the other

Bonjour, La fonction AovSum du package FactoMineR permet de faire l'analyse de variance et donc d

La commande pour charger FactoMineR est : library(FactoMineR) Il ne vous reste plus qu'à lancer

Hi I read the famd method described at http://www.sthda.com/english/articles/31-principal-component-

Thanks kris. That was a good hint. I also found this useful http://www.sthda.com/english/articles/31-

Hi, I would like to know what is the difference between FAMD and PCA+quali.sup? As I see the manual [

Thanks but it seems that your method doesn't show the qualitative variables. Please see the

Hi, I want to report an unexpected behaviour: pca.res <- PCA(X1, scale.unit = T, ncp = 10, graph =

The commands you mentioned include the 3rd column in the PCA calculation. My problem is that I want

OK I understand that. Thank you. Regards, Mahmood On Sun, Feb 28, 2021 at 5:48 PM JC Deroubaix <jc

Following MFA, res$partial.axes$cor gives the correlation between the partial axes and the global

Hi, I am sorry if this has been asked before and if what I want is impossible: I know we can extract

Non, il n'est pas impératif de réaliser une ACP avant une classification. L'intérêt de faire

Cher équipe de développeurs Factominer. Permettez-moi de vous demander quelle est la règle pour la

Assuming that you created quant.hcpc with quant.hcpc<-HCPC(myanalysis,nb.clust=x) then you can

Hi. You really need to go and consult any of the many standard text books on multivariate statistical

You are right. Sorry for the confusion. I was working with multiple things and wrongly used pca.res

The squared cosine is a measure of how well the variable "fits" the axis. Thus, with your

Thanks for the reply. I understand that. Regards, Mahmood On Fri, Feb 5, 2021 at 11:40 AM Womble <

Yes your right, you can use res$ind$coord as a factor score to perform regression. The definition of

OK. I read that and will try it. Thanks. Regards, Mahmood On Thu, Feb 4, 2021 at 7:14 PM JC Deroubaix

voici mon code. #les librairies library(FactoMineR) library(factoextra) library(missMDA) library(

You just have to do: Factoshiny(decathlon) see this video: https://youtu.be/6y0NDDQcIXo Best FH Le 02

Hi, could someone help me understand how to do an ortogonal rotation in Multiple Factorial Analysis?