I was recently asked to perform a GLM analysis (the person comes from the JMP world) on a repeated measures design. I have found some things using aov but I cannot find anything with glm. In fact, multiple regressions in general with repeated measures seems to be poorly covered in documentation. I remember SPSS has separate commands to handle them. I have within variables SOA and ec and a between factor subjrt. The independent variable was RT. The ec factor cannot be construed as parameteric whereas SOA can.
On Wed, 19 Nov 2003, John Christie wrote:> > I was recently asked to perform a GLM analysis (the person comes from > the JMP world) on a repeated measures design. I have found some things > using aov but I cannot find anything with glm. In fact, multiple > regressions in general with repeated measures seems to be poorly > covered in documentation. I remember SPSS has separate commands to > handle them. > I have within variables SOA and ec and a between factor subjrt. The > independent variable was RT. The ec factor cannot be construed as > parameteric whereas SOA can. >If the person comes from the JMP world, GLM doesn't translate as glm(). You probably want either aov() or lme() [in the nlme package], depending on how complicated the analysis is. -thomas Thomas Lumley Assoc. Professor, Biostatistics tlumley at u.washington.edu University of Washington, Seattle
Have you checked the following: www.r-project.org -> search -> "R site search"? In particular, have you considered "lme" in package "nlme"? Probably the best documentation on this is Pinhiero and Bates (2000) Mixed-Effects Models in S and S-Plus (Springer). hope this helps. spencer graves John Christie wrote:> > I was recently asked to perform a GLM analysis (the person comes > from the JMP world) on a repeated measures design. I have found some > things using aov but I cannot find anything with glm. In fact, > multiple regressions in general with repeated measures seems to be > poorly covered in documentation. I remember SPSS has separate > commands to handle them. > I have within variables SOA and ec and a between factor subjrt. > The independent variable was RT. The ec factor cannot be construed as > parameteric whereas SOA can. > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help