Hello all, I'm trying to do a nested linear model with a dataset that incorporates an observation for each of several classes within each of several plots. I have 219 plots, and 17 classes within each plot.
data.frame has columns "plot","class","age","dep.var" With lm(dep.var~class*age), The summary(lm) function returns t-test and F-test values evaluated as though I were working with 219*17-17=3706 degrees of freedom, when in fact I have but 219-17=202 df. I'm probably being dense on this one, but is there a way I can set df to the proper number so that summary.lm does the correct significance test? Or should I be doing an entirely different anlaysis? Thanks, -jlb -- ************************************ Joseph P. LeBouton Forest Ecology PhD Candidate Department of Forestry Michigan State University East Lansing, Michigan 48824 Office phone: 517-355-7744 email: [EMAIL PROTECTED] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
