Dear John, Thank you very much for clearing this up.
Best, Monaly. On Sun, Jul 13, 2014 at 3:45 PM, John Fox <j...@mcmaster.ca> wrote: > Dear Monaly, > > What you described in simply the multiple LS regression of Y on the Xs, > which finds the linear combination of the Xs most correlated with Y. > Canonical correlation and regression are appropriate when there is more > than one Y. > > Best, > John > > On Sun, 13 Jul 2014 15:39:15 +0100 > Monaly Mistry <monaly.mis...@gmail.com> 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]] > > > > ______________________________________________ > > 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.
