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. ______________________________________________ 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.
