Hi Dimitri, It works a bit differently: ## The SPSS way: compute dum1 = 0. compute dum2 = 0. if(grp = "b") dum1 = 1. if(grp = "c") dum2 = 1. exe.
regression /var = y x1 x2 z1 z2 grp /des = def /sta = def zpp cha tol f /dep = y /met = enter x1 x2 /met = enter z1 z2 /met = enter dum1 dum2. ## The R way: contrasts(Dat$grp) <- contr.treatment(n=3, base=1) m.x <- lm(y ~ x1 + x2, data=Dat) m.xz <- update(m.x, . ~ . + z1 + z2) m.xzg <- update(m.xz, . ~ . + grp) anova(m.x, m.xz, m.xzg) Hope it helps, Ista On Thu, Mar 4, 2010 at 10:47 AM, Dimitri Liakhovitski <[email protected]> wrote: > I am not sure if this question has been asked before - but is there a > procedure in R (in lm or glm?) that is equivalent to ENTER and REMOVE > regression commands in SPSS? > Thanks a lot! > > -- > Dimitri Liakhovitski > Ninah.com > [email protected] > > ______________________________________________ > [email protected] 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. > -- Ista Zahn Graduate student University of Rochester Department of Clinical and Social Psychology http://yourpsyche.org ______________________________________________ [email protected] 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.
