I am getting "Chi-squared approximation may be incorrect in: chisq.test(x)" with the data bleow.
Frequency distribution of number of male offspring in families of size 5. Number of Male Offspring N 0 518 1 2245 2 4621 3 4753 4 2476 5 549 Total 15,162 > x=matrix(c(0,1,2,3,4,5,518,2245,4621,4753,2476,549), ncol=2) > x [,1] [,2] [1,] 0 518 [2,] 1 2245 [3,] 2 4621 [4,] 3 4753 [5,] 4 2476 [6,] 5 549 > chisq.test(x) Pearson's Chi-squared test data: x X-squared = 40.4672, df = 5, p-value = 1.202e-07 Warning message: Chi-squared approximation may be incorrect in: chisq.test(x) Does the warning mean that chisq.test(x) can't be used for this data. If chisq.test(x) can't be used for this data, which test is to be used? Pls advise. thx ej ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.