I'm not sure what is the 'pvalue' function (it's not found in base nor stats packages) but this should give you what you want:
# some example re <- rnorm(100) reg <- rep(1:3, length=100) ast <- rep(1:2, length=100) tapply( re, list(reg, ast), function(v) shapiro.test(v)$p.value ) # or neater by defining a function p.shapiro <- function(v) shapiro.test(v)$p.value tapply( re, list(reg, ast), p.shapiro ) hth, michal > Hello, I want to conduct normality test to a series of data > and get the > p-value for each subset. I am using the following codes, but > it does not > work. > > tapply(re, list(reg, ast), pvalue(shapiro.test)) > > Could anyone give me some advice? Many thanks. ______________________________________________ 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.
