Hi!

I have some data that looks like this
up	down	percentaje
uew_21	20	14	58.82
uew_20_5	27	40	40.29
uew_20	8	13	38.09
uew_19_5	17	42	28.81



So I have 4 experimental conditions and I am counting number of  
animals in the up and down compartment and the calculating the  
percentage, I want to know which one of the conditions is different  
from each other. If the data wouldn't be percentage I would runt a  
kruskal-wallis test to check for general differences and then when  
significan a post-hoc test, comparing differents pairs with Man- 
Whitney (wilcoxon function in R) with a bonferroni correction for  
multiple comparisons. But as the data are in the percentaje form, I  
know I need to analize them with either a chi squared or a g-test, but  
I have no idea if I can do such a test with many comparissons or how  
to do it in R, as well I have seen a paper in which they do something  
similar and they are using a Harber's chi squared test. Does anybody  
know how to do that in R?

Thank you  very much for your help, and thanks to the jim and chuck  
for answering my previous statistical question!

Lucia

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