Hi Romain, It works for me: model1 <- glm(as.vector(x) ~dept*sex*admit,poisson) model1
Call: glm(formula = as.vector(x) ~ dept * sex * admit, family = poisson) Coefficients: (Intercept) dept2 dept3 dept4 dept5 6.23832 -0.37186 -1.45083 -1.31107 -2.26803 dept6 sex2 admit2 dept2:sex2 dept3:sex2 [trimmed] Here is my sessionInfo(): R version 2.9.2 RC (2009-08-23 r49375) i386-pc-mingw32 locale: LC_COLLATE=English_United States.1252;LC_CTYPE=English_United States.1252;LC_MONETARY=English_United States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] lattice_0.17-25 combinat_0.0-6 loaded via a namespace (and not attached): [1] grid_2.9.0 tools_2.9.0 HTH, Jorge On Sun, Oct 11, 2009 at 11:54 AM, romunov <> wrote: > Dear List, > > I'm having problem with an exercise from The R book (M.J. Crawley) on page > 567. > Here is the entire code upto the point where I get an error. > > data(UCBAdmissions) > x <- aperm(UCBAdmissions, c(2, 1, 3)) > names(dimnames(x)) <- c("Sex", "Admit?", "Department") > ftable(x) > fourfoldplot(x, margin = 2) > dept<-gl(6,4) > sex<-gl(2,1,24) > admit<-gl(2,2,24) > model1<-glm(as.vector(x) ~dept*sex*admit,poisson) > > This last line returns: > > Error in family$family : $ operator is invalid for atomic vectors > > I've searched older posts but found nothing that would help resolve my > problem. Has anyone encountered anything similar and/or knows a fix? > > Cheers, > Roman > > [[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. > [[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.