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"Are you analysing the colonies as your outcome variable, or the
termites in
your colonies? If it is the termites, perhaps you need to specify
colonies
as an explanatory variable. Can you show us the structure of your
file?"
Each colony is treated as an EU. The outcome variable is a count of
this particular kind of termite in each colony. (I counted them each
month, with the thought of doing a repeated-measures analysis, but
decided just to look at the last month's count in the statistical
analysis.) Below is the data entry step.
First, some explanation--this actually accounts for 3 different types
of termites that appear within each colony: mrs, mn, fn. I count each
of them through each of 6 months. I'm only going to analyze them at
the 6 month mark--eg mrs6, mn6--and will analyze each type
separately. The first column is the treatment group, which I turn
into the dummy variable "trtmt." The "colony" column's numerical
value is just the code name for each individual colony.
input group $ block colony mrs1 mrs2 mrs3 mrs4 mrs5 mrs6 mn1 mn2 mn3
mn4 mn5 mn6 fn1 fn2 fn3 fn4 fn5 fn6;
if group='c' then trtmt=0;
else if group = 't' then trtmt=1;
cards;
c 1 804 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0
c 1 806 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0
c 1 811 0 1 1 1 1 1 0 0 1 1 1 1 0 0 0 0 0 0
c 1 814 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0
c 1 833 0 1 1 1 1 1 0 1 1 0 0 0 0 0 0 0 0 0
c 1 838 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0
c 1 845 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0
c 1 902 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
c 2 823 0 0 0 1 0 1 0 0 0 0 1 1 0 0 0 0 0 0
c 2 848 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0
c 2 850 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0
c 2 871 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0
c 2 927 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0
c 2 929 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0
c 2 930 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
t 1 805 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
t 1 808 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 4 5 5
t 1 817 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0
t 1 853 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0
t 1 872 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0
t 1 895 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0
t 1 903 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0
t 1 938 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0
t 2 827 0 0 0 0 0 0 0 0 1 1 1 1 0 0 2 2 2 2
t 2 857 0 0 0 0 0 0 0 0 0 0 2 2 0 0 0 0 0 0
t 2 876 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1
t 2 905 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
t 2 908 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
t 2 913 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0
t 2 928 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Hope that helps.
-SJ
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