Dear Michael,

Thank you very much. I was looking into this as well.

Best,
Monaly
On Jul 14, 2014 10:43 PM, "Michael Friendly" <friendly@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 <jfox@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" <jfox@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 <optionsraghu@gmail.com> wrote:
>>>>
>>>>> Try package CCA.
>>>>>
>>>>>
>>>>> On Sat, Jul 12, 2014 at 11:13 PM, Monaly Mistry <
>>>>>
>>>> monaly.mistry@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]]
>>
>>
>

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