[R] TukeyHSD for binomial distribution

[adriana1986]

Hi,

I am looking for a way to get contrast statements (similar to the output of
the TukeyHSD function) for 
glm fit data with a binomial distribution:

glm.fit=glm(y~(treat)*(geno),family=binomial)
tukey.fit=TukeyHSD(aov(glm.fit))


My y is a dataframe of number successful and number failed reproduction, the
glm runs well, but not the Tukeytest - I get an error statement when I try
and run a TukeyHSD on the data:

Error in model.tables.aov(x, "means") : 
  'model.tables' is not implemented for multiple responses


I am assuming this is happening because the data isn't normally distributed.

If anyone could help me out that would be wonderful!!

Thank you!
-Adriana
-- 
View this message in context: http://r.789695.n4.nabble.com/TukeyHSD-for-binomial-distribution-tp2401922p2401922.html
Sent from the R help mailing list archive at Nabble.com.