Forgive my resending this post. To data I have received only one response (thank you Bert Gunter), and I still do not have an answer to my question. Respectfully, John
Windows XP R 2.12.1 contrast package. I am trying to understand how to create contrasts for a model that contatains an interaction. I can get contrasts to work for a model without interaction, but not after adding the interaction. Please see code below. The last two contrast statements show the problem. I would appreciate someone letting me know what is wrong with the syntax of my contrast statements. Thank you, John library(contrast) # Create 2x2 contingency table. counts=c(50,50,30,70) row <- gl(2,2,4) column <- gl(2,1,4) mydata <- data.frame(row,column,counts) print(mydata) # Show levels of 2x2 table levels(mydata$row) levels(mydata$column) # Models, no interaction, and interaction fitglm0 <- glm(counts ~ row + column, family=poisson(link="log")) fitglm <- glm(counts ~ row + column + row*column, family=poisson(link="log")) # Contrasts for model without interaction works fine! anova(fitglm0) summary(fitglm0) con0<-contrast(fitglm0,list(row="1",column="1")) print(con0,X=TRUE) # Contrast for model with interaction does not work. anova(fitglm) summary(fitglm) con<-contrast(fitglm,list(row="1",column="1") print(con,X=TRUE) # Nor does this work. con<-contrast(fitglm,list(row="1",column="1",row:column=c("0","0"))) print(con,X=TRUE) John David Sorkin M.D., Ph.D. Chief, Biostatistics and Informatics University of Maryland School of Medicine Division of Gerontology Baltimore VA Medical Center 10 North Greene Street GRECC (BT/18/GR) Baltimore, MD 21201-1524 (Phone) 410-605-7119 (Fax) 410-605-7913 (Please call phone number above prior to faxing) Confidentiality Statement: This email message, including any attachments, is for th...{{dropped:6}} ______________________________________________ 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.