On Tuesday 09 January 2007 15:41, Prof Brian Ripley wrote: > oneway.test expects a literal formula, not a variable containing a > formula. The help page says > > formula: a formula of the form 'lhs ~ rhs' where 'lhs' gives the > sample values and 'rhs' the corresponding groups. > > Furthermore, if you had > > foo.2 <- function() oneway.test(value ~ group) > > it would still not work, as > > data: an optional matrix or data frame (or similar: see > 'model.frame') containing the variables in the formula > 'formula'. By default the variables are taken from > 'environment(formula)'. > > I could show you several complicated workarounds, but why do you want to > do this?
Thank you for your reply. The data argument was exactly the next problem I faced. My workaround involves checking if(missing(data)) then uses different calls to oneway.test(). I am certainly interested in other solutions, this one is indeed limited. I do this for the students in the anova class, checking first the homogeneity of variances with fligner.test(), printing the p.value and based on that changing the var.equal argument in the oneway.test() It's just for convenience, but they do like having it all-in-one. Best regards, Adrian -- Adrian Dusa Romanian Social Data Archive 1, Schitu Magureanu Bd 050025 Bucharest sector 5 Romania Tel./Fax: +40 21 3126618 \ +40 21 3120210 / int.101 ______________________________________________ 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.