Hi,
I've got a data set with a control group and a number of experimental
groups, that have unequal sample sizes, and am measuring the number of
people in each that respond yes or no. I'd like to use a dunnett test in
R, where the syntax is supposed to be like:
library(multcomp)
test.dunnett=glht(anova_results,linfct=mcp(method="Dunnett"))
confint(test.dunnett)
plot(test.dunnett)
but:
1) How do I run a dunnett test without doing the ANOVA (which wouldn't
have its requirements satisfied, as the measurements are not independent
due to the control group)?
2) Do I have to tell the test what my sample sizes are, or will it
calculate the sums itself?
Here's my matrix:
Control A B C
Yes 23 19 27 53
No 623 523 823 469
thanks,
imran
[[alternative HTML version deleted]]
______________________________________________
[email protected] 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.
