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. > > -- View this message in context: http://www.nabble.com/Correlation-dichotomous-factor%2C-continous-%28numerical%29-and-ordered-factor-tp18852158p18852399.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.