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.
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______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide
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and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide
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and provide commented, minimal, self-contained, reproducible code.
------------------------------------------------
John Fox, Professor
McMaster University
Hamilton, Ontario, Canada
http://socserv.mcmaster.ca/jfox/
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______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
