Dear R-users, I am comparing differences in variance, skew, and kurtosis between two groups.
For variance the comparison is easy: just var.test(group1, group2) I am using agostino.test() for skew, and anscombe.test() for kurtosis. However, I can't find an equivalent of the F.test or Mood.test for comparing kurtosis or skewness between two samples. Would the test just be a 1 df test on the difference in Z or F scores returned by the agostino or anscombe? How are the differences distributed: chi2? Any guidance greatly appreciated. google and wikipedia return hits for measuring the third and fourth standardized moments, but none I can see for comparing differences on these parameters. best, tim ______________________________________________ R-help@r-project.org 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.
