This is a simple question, but I'm going on the supposition that the
only stupid question is the one not asked.
1. I have many sets of 5 proportions that are different from each
other (prop.test), and want to know which proportions are different
from each other. In other words, I want the equivalent of Tukey's HSD
test, but for proportions rather than anova.
Here is one of the sets of number of "successes"; the denominator is
151 for all cases.
Parents School Peers Church No one
Menstruation 79 58 55 3 38
As proportions:
> round(topics.sum[1,], digits=3)
Parents School Peers Church No one
0.523 0.384 0.364 0.020 0.252
Intuitively, it looks like there are 3 or 4 groups that are different
from each other, but is there a function that does this?
parents > school and peers ?> no one > church
2. I am displaying this data in a bar graph. How do I show
graphically which proportions are different? I'm not interested in
using error bars since they can be ambiguous, but probably something
like putting a different symbol over each bar to show which bars are
the same and which differ. I've made efforts at this before, but
they've always looked a bit clumsy.
Thanks,
Janet
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