After the MCA or PCA followed by HCA, how to identify the number of individuals in each cluster and their ID ? Sometimes they are superposed and we can't distinguish them in graphs. Thank you in advance
Wow this is a great r package, thank you so much for sharing this valuable knowledge. Kind regards! I realize that there is not a library as Factoshiny... :-( > library(Factoshiny) Error in library(Factoshiny) : there is no package called ‘Factoshiny’
@@faiqahfudzi8388 Hello!! That error message commonly adresses a situation in which there has been no prior installation of the package in your computer. Try running this: #Install package install.packages("Factoshiny") #Let it run #Now call package to the R session library(Factoshiny) Kind regards
After the MCA or PCA followed by HCA, how to identify the number of individuals in each cluster and their ID ? Sometimes they are superposed and we can't distinguish them in graphs. Thank you in advance
Many thanks for all your videos very interesting.
MUCHAS GRACIAS ME AYUDO MUCHO¡¡¡ thanks a lot¡¡, merci beaucoup pour votre vidéo et tous les explications.¡¡¡¡¡
thanks guys! This is all very very helpful
Hi Guys, is there in Factoshiny any useful tool/option to measure the quality of precision of the clustering?
Wow this is a great r package, thank you so much for sharing this valuable knowledge. Kind regards! I realize that there is not a library as Factoshiny... :-(
> library(Factoshiny)
Error in library(Factoshiny) : there is no package called ‘Factoshiny’
Yes Sir, same happen to me. Do you find out the solution? Cus I am still trying figure out how to analyse my data using PCA in R
@@faiqahfudzi8388 yes I installed it from packages , Factoshiny works into FactoMineR package.
> library(FactoMineR)
> library(Factoshiny)
@@faiqahfudzi8388 Hello!! That error message commonly adresses a situation in which there has been no prior installation of the package in your computer. Try running this:
#Install package
install.packages("Factoshiny")
#Let it run
#Now call package to the R session
library(Factoshiny)
Kind regards