Hi All,
I'm working with some SAS code to analyze an experiment set up as follows:
66 subjects (colonies) treated with a random treatment (1-8) and measured at
three time points.
The data structure looks like:
input colony tmt y1 y2 y3;
y=y1; date=*1*; output;
y=y2; date=*2*; output;
y=y3; date=*3*; output;
datalines;
1 3 6725 6750 925
2 8 6950 5800 11275
3 4 4200 6100 6475
Procedure:
*proc* *mixed* data=Nosema method=ml covtest;
class colony tmt;
model y=tmt date tmt*date / s;
repeated / type=un subject=colony;
random colony;
lsmeans tmt/cl adjust=tukey;
I am able to get something close by running aov on it, even closer by using
Anova{car} and calling type=3. The problem I'm having is running the tukey
and/or getting something similar to SAS's "Solution for Fixed Effects"
table. Any idea what to do?
Thanks,
Molly
[[alternative HTML version deleted]]
______________________________________________
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.
