Dear Edison, There are several approaches you could take. One would be to use a component+residual plot (see the cr.plots function in the car package, which has a method for glm objects, including logistic regression), although that doesn't provide a "test." Another approach would be to fit a nonparametric regression model, such as a generalized additive model (see the mgcv and gam packages), with smooth terms in place of linear terms, which can be used to test linearity.
I hope this helps, John -------------------------------- John Fox, Professor Department of Sociology McMaster University Hamilton, Ontario, Canada L8S 4M4 905-525-9140x23604 http://socserv.mcmaster.ca/jfox > -----Original Message----- > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] > project.org] On Behalf Of Edison Iglesias de Oliveira Vidal > Sent: January-19-08 5:31 PM > To: r-help@r-project.org > Subject: [R] (sem assunto) > > > I have been searching without success to find out how to test for the > assumption of linear relationship between the indenpendent variables > and the logit of the dependent variable in multiple logistic regression > models using R. I shall be glad for any advice. > > best regards, > > Edison Iglesias de Oliveira Vidal, MD > Home Care Department, Hospital Israelita Albert Einstein Sco Paulo, > Brazil > > > > _________________________________________________________________ > Cansado de espago para ss 50 fotos? Conhega o Spaces, o site de > relac[[elided trailing spam]] > > [[alternative HTML version deleted]] ______________________________________________ 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.
