raymond chiruka <[EMAIL PROTECTED]> wrote in
news:[EMAIL PROTECTED]:
> i am trying to carry out a categorical data analysis but my problem
> is that when in i use the chi squared test some of my expected
> values are less than 5. is there a test that can handle this
> situation. the data is not a 2*2 table. its more from the social
> sciences where you have from strongly agree to strongly disagree. i
> know i can collapse vthe tables but there is a loss of information .
> is the a test vthat i can for this kind of data. thanks in advancde.
In addition to Snow's suggestion of fisher.test, you may want to look
more closely at:
?chisq.test
# read information on simulate.p.value
# uses same algorithm (Patefield) as fisher.test
# from help examples:
x <- c(89,37,30,28,2)
p <- c(0.40,0.20,0.20,0.19,0.01)
# Expected count in category 5
# is 1.86 < 5 ==> chi square approx.
chisq.test(x, p = p) # maybe doubtful, but is ok!
chisq.test(x, p = p, simulate.p.value = TRUE)
--
David Winsemius
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