The output I get looks pretty different to me than the output I got for a 2x2 value (where p=0.002, also gave confidence interval and odds ratio, whereas the 3x2 table results do not). Am I doing something wrong with the code? Or is it suggesting adding something more to the test?

Any suggestions/advice is great appreciated!! (also, all #s in the table are counts)

> all <- matrix(c(108, 37, 21, 1, 10, 11), nrow = 3,

+ dimnames = list(Bract = c("Condition1", "Condition2", "Condition3"),

+ Behaviour = c("Behaviour1", "Behaviour2")))

> all

Behaviour1 Behaviour2

1 Condition1 108 1

2 Condition2 37 10

3 Condition3 21 11

> fisher.test(all)

Fisher's Exact Test for Count Data

data: all

p-value = 1.957e-08

alternative hypothesis: two.sided