[R] Correlation dichotomous factor, continous (numerical) and ordered factor

[Birgitle]

Many, many thanks that was fast and exactly what I was looking for.

B.


Mark Difford wrote:
> 
> Hi Birgitle,
> 
>>> ... my variables are dichotomous factors, continuous (numerical) and
>>> ordered factors. ...
>>> Now I am confused what I should use to calculate the correlation using
>>> all my variables
>>> and how I could do that in R.
> 
> Professor Fox's package polycor will do this for you in a very nice way.
> 
> Regards, Mark.
> 
> 
> Birgitle wrote:
>> 
>> Hello R-User!
>> 
>> I appologise in advance if this should also go into statistics but I am
>> presently puzzled.
>> I have a data.frame (about 300 rows and about 80 variables) and my
>> variables are dichotomous factors, continuous (numerical) and ordered
>> factors.
>> 
>> I would like to calculate the linear correlation between every pair of my
>> variables, because I would like to perform a logistic regression (glm())
>> without the correlation between variables.
>> 
>> I thought I could use for the continous (numerical) and ordered factor a
>> spearman correlation that is using the ranks.
>> 
>> But I thought also that I have to use a contingency table for the
>> dichotomous factors. 
>> 
>> I read also that it is possible to use a point-biserial correlation to
>> calculate the correlation between dichotomous and continuous variables.
>> 
>> Now I am confused what I should use to calculate the correlation using
>> all my variables and how I could do that in R.
>> Is it possible with cor(), rcorr(), cormat() or other R-functions using
>> one of the available correlation-coefficients.
>> 
>> I would be very happy if somebody could enlighten my darkness.
>> 
>> Many thanks in advance.
>> 
>> B.
>> 
>> 
> 
> 


-----
The art of living is more like wrestling than dancing.
(Marcus Aurelius)
-- 
View this message in context: http://www.nabble.com/Correlation-dichotomous-factor%2C-continous-%28numerical%29-and-ordered-factor-tp18852158p18852945.html
Sent from the R help mailing list archive at Nabble.com.