[R] nested hierarchical design
JelmerAnne.Elzinga at unil.ch
Tue Jan 16 18:00:41 CET 2007
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?
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
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