On 27/06/12 08:54, arun wrote:
Hi,
The error is due to less than 5 observations in some cells.
NO, NO, NO!!!! It's not the observations that matter, it is
the ***EXPECTED COUNTS***. These must all be at least
5 in order for the null distribution of the test statistic to be
adequately approximated by a chi-squared distribution.
cheers,
Rolf Turner
You can try,
fisher.test(tabele)
Fisher's Exact Test for Count Data
data: tabele
p-value = 0.0998
alternative hypothesis: two.sided
A.K.
----- Original Message -----
From: Omphalodes Verna <omphalodes.ve...@yahoo.com>
To: "r-help@r-project.org" <r-help@r-project.org>
Cc:
Sent: Tuesday, June 26, 2012 2:27 PM
Subject: [R] chisq.test
Dear list!
I would like to calculate "chisq.test" on simple data set with 70 observations,
but the output is ''Warning message:''
Warning message:
In chisq.test(tabele) : Chi-squared approximation may be incorrect
Here is an example:
tabele <- matrix(c(11, 3, 3, 18, 3, 6, 5, 21), ncol = 4, byrow = TRUE)
dimnames(tabela) <- list(
"SEX" = c("M","F"),
"HAIR" = c("Brown", "Black", "Red", "Blonde"))
addmargins(tabele)
prop.table(tabele)
chisq.test(tabele)
Please, give me an advice / suggestion / recommendation.
Thanks a lot to all, OV
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
