Dear Petr, Dear Rui, Thanks for your response. I will thus try biplot thanks for the advice.
Best, Sacha Envoyé de mon iPhone > Le 24 janv. 2023 à 11:09, PIKAL Petr <petr.pi...@precheza.cz> a écrit : > > Hallo Sacha > > AFAIK the functions in FactoMineR do not enable to manipulate label size. > Plot > is performed by this part: > > if (graph & (ncp > 1)) { > print(plot(res, axes = axes)) > if (!is.null(quanti.sup)) > print(plot(res, choix = "quanti.sup", axes = axes, > new.plot = TRUE)) > > and the function is not designed to accept additional parameters to > manipulate > size of labels. > > I struggled with it few years ago and I decided to use biplot instead as it > enables more options. > > You can contact maintainers if they consider an improvement in future > versions. Probably simple ... in function definition and print(plot(res, axes > = axes, ...)) addition could do the trick, but I am not sure. > > Cheers > Petr > >> -----Original Message----- >> From: R-help <r-help-boun...@r-project.org> On Behalf Of varin sacha via R- >> help >> Sent: Monday, January 23, 2023 7:38 PM >> To: r-help@r-project.org >> Subject: [R] package FactoMineR >> >> Dear R-experts, >> >> Here below the R code working (page 8 http://www2.uaem.mx/r- >> mirror/web/packages/FactoMineR/FactoMineR.pdf). >> >> But I am trying to get all the labels (the writes) : comfort, university, >> economic, >> world, ... smaller. How could I do that ? >> >> Many thanks. >> >> library(FactoMineR) >> data(children) >> res.ca <- CA (children, row.sup = 15:18, col.sup = 6:8) >> >> ______________________________________________ >> 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. ______________________________________________ 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.