Fernando Marmolejo Ramos <fernando.marmolejo.ramos <at> psychology.su.se> writes:
> > hi marc > > say i have a vector with some x number of observations > > x = c(23, 56, 123, ..... ) > > and i want to know how normal it is > > as there are many normality tests, i want to combine their p.values > > so, suppose i use shapiro.wilk, anderson darling and > jarque bera and each will give a pvalue > > i could simply average those p,values but to my knowledge > that approach is biased > > so i thought, in the same way there is a method to combine > independent pvalues (e.g. stouffer method); is > there a way to combine dependent pvalues? > > best > > f > Yikes. There is extensive discussion, e.g. at http://tinyurl.com/normtests , that suggests that much of the time (if not always) formal statistical hypothesis tests for normality are misguided. Combining p-values from different tests feels like compounding the issue. In any case, I would definitely say that this a question for CrossValidated (http://stats.stackexchange.com), rather than r-help ... Ben Bolker ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.