Dear R-Helpers, I would like to know what syntax I need to use to do a nested anova for 1. a continuous variable and 2. count data (x out of y) 1. The first I used to do in SPSS and I would like to be able to do it in R as well. This is the hierarchical model I would like to use: a continuous variable explained by factor A(fixed) + factor B(random) nested in A + factor C (random) nested in factor B (which is nested in A). The data is unbalanced at all levels, meaning different nrs of B per A, different nrs of C for B, different nrs of values per C In SPSS this seems to be quite simple with a small writing in the syntax (see below). But how do I get the same results in R with lme?
SPSS syntax: UNIANOVA var BY A B C /RANDOM = B C /METHOD = SSTYPE(3) /INTERCEPT = INCLUDE /CRITERIA = ALPHA(.05) /DESIGN = A B(A) C(B(A))). 2. the same model but than for count data (like 15 out of 30, 23 out of 60) instead of the continous variable(I know the basics of glm in R) Thanks a lot for your help Jelmer ______________________________________________ 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 and provide commented, minimal, self-contained, reproducible code.