Hi, I am going to assume that you are using factoextra, and are working the example from the function in question, but it would be useful for you to explicitly state that when you're asking a question about a particular package and function.
When you choose the argument "contrib" the colors are based on the strength of the relationship overall (the length of the arrow), not the contribution of any individual direction. See here http://www.sthda.com/english/wiki/factoextra-r-package-easy-multivariate-data-analyses-and-elegant-visualization and the various other sources of documentation for the packages. Sarah On Sun, Mar 21, 2021 at 1:32 PM Mahmood Naderan-Tahan <mahmood.nade...@ugent.be> wrote: > > Hi > > I use the following function to plot the variables with their contributions. > > > fviz_famd_var(res.famd, "quanti.var", col.var = "contrib", > gradient.cols = c("#00AFBB", "#E7B800", "#FC4E07"), > repel = TRUE) > > > The result can be seen at https://i.stack.imgur.com/Kbq1j.png > > When I use "quanti.var$contrib" I see multiple dimensions and the question is > which dimension is used for colorizing the contributions? For example, is the > blue color of V2 related to low contribution on Dim1 or Dim2? > > > Regards, > Mahmood > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Sarah Goslee (she/her) http://www.numberwright.com ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.