Dear R Mailing Subscribers, I just have a question of how R handles interacting variables in model creation using glm for instance.
if I write : >> model=glm(solution~descriptor1+descriptor2+descriptor3,family=binomial(link="logit")) I should end up with coefficients for a logistic model that I can introduce easily in the mathematical form of such a model (weighted sum of these descriptors). But how do I have to interpret what R does with interacting terms, like this? : >> model=glm(solution~descriptor1:descriptor2+descriptor3,family=binomial(link="logit")) What does R with the numerical values of descriptor1 and 2 in order to fit the data? How I can rewrite the model in a mathematical form? Thanks in advance. Best regards. -- Peter Schmidtke ---------------------- PhD Student at the Molecular Modeling and Bioinformatics Group Dep. Physical Chemistry Faculty of Pharmacy University of Barcelona ______________________________________________ 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.
