> The library of packages that installs with R includes the stats > package, in the stats package is the glm function for fitting > generalized linear models. Using glm with a binomial family will fit > a logistic regression which can be used as you describe. > > If you really feel the need to use an additional package then lrm in > the rms package is another option (and I am sure there are others as > well).
Dear colleague: I know both possibilities but I am speaking about a relationship between two sets of presence/absence data. Usually I use Canonical Correspondence Analysis for this but I am not sure if a specific package of R is designed for this type of data Many thinks for your useful and kind response. "Good forms, an appropriate emotional equilibrium and not prejudge to people are questions very essential for a correct and fluid communication" -- ******************************************************** Daniel Patón Domínguez Numerical Ecology. Ecology Unit Department of Plant Biology, Ecology and Earth Sciences Faculty of Sciences. University of Extremadura Avda. Elvas s/n 06071 Badajoz (Spain) http://unex.academia.edu/DanielPatonDominguez https://www.researchgate.net/profile/Daniel_Paton/ http://sites.google.com/site/numericalecologyuex/home ______________________________________________ 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.
