Dear Michael, Thank you very much. I was looking into this as well.
Best, Monaly On Jul 14, 2014 10:43 PM, "Michael Friendly" <frien...@yorku.ca> wrote: > Perhaps what you are looking for is the visualization methods for > canonical correlation provided in the candisc package. > > see > ?candisc::cancor > ?heplot.cancor > > -Michael > > > On 13/07/2014 4:39 PM, Monaly Mistry wrote: > >> Dear John, >> >> In my final model I have 10 independent variables that account for the >> variation in my dependent variable, and I needed to visually demonstrate >> this relationship. So I did a canonical correlation to get a linear >> combination of independent variables that that predicts the variation in >> my >> dependent variable to plot the relationship. Although I ended up using 2 >> dependent variables in the canonical correlation analysis. >> >> Best, >> >> Monaly. >> >> >> On Sun, Jul 13, 2014 at 3:16 PM, John Fox <j...@mcmaster.ca> wrote: >> >> A small correction: I should have said "R", not "R^2". >>> >>> John >>> >>> On Sun, 13 Jul 2014 10:14:23 -0400 >>> "John Fox" <j...@mcmaster.ca> wrote: >>> >>>> Dear Raghuraman and Monaly, >>>> >>>> Why would one want to do canonical correlation with a single Y variable? >>>> >>> The canonical correlation is just the R^2 from the LS regression of Y on >>> the Xs. >>> >>>> >>>> Best, >>>> John >>>> >>>> ------------------------------------------------ >>>> John Fox, Professor >>>> McMaster University >>>> Hamilton, Ontario, Canada >>>> http://socserv.mcmaster.ca/jfox/ >>>> >>>> >>>> On Sun, 13 Jul 2014 09:00:52 +0100 >>>> Raghuraman Ramachandran <optionsra...@gmail.com> wrote: >>>> >>>>> Try package CCA. >>>>> >>>>> >>>>> On Sat, Jul 12, 2014 at 11:13 PM, Monaly Mistry < >>>>> >>>> monaly.mis...@gmail.com> >>> >>>> wrote: >>>>> >>>>> Hi, >>>>>> >>>>>> I was wondering if it's possible in R to do a canonical correlation >>>>>> >>>>> with >>> >>>> only one dependent variable and several independent variables. >>>>>> >>>>>> I've tried using cc(X,Y) but I got an error message. In this case I >>>>>> >>>>> had 1 >>> >>>> dependent variable and 10 independent variables. >>>>>> >>>>>> Error in cor(X, use = "pairwise") : >>>>>> supply both 'x' and 'y' or a matrix-like 'x' >>>>>> >>>>>> When I use two dependent variables I don't get the error message. >>>>>> >>>>>> Best, >>>>>> >>>>>> Monaly. >>>>>> >>>>>> [[alternative HTML version deleted]] >>>>>> >>>>>> ______________________________________________ >>>>>> R-help@r-project.org mailing list >>>>>> 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. >>>>>> >>>>>> >>>>> [[alternative HTML version deleted]] >>>>> >>>>> ______________________________________________ >>>>> R-help@r-project.org mailing list >>>>> 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 >>>> 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. >>>> >>> >>> ------------------------------------------------ >>> John Fox, Professor >>> McMaster University >>> Hamilton, Ontario, Canada >>> http://socserv.mcmaster.ca/jfox/ >>> >>> >>> >>> >>> >> [[alternative HTML version deleted]] >> >> > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list 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.
