> On Aug 22, 2016, at 11:33 PM, 이아름 <judyori...@naver.com> wrote: > > > Hi! > > I'm trying to do the non-parametric test for 2 factor mixed anova. > > I got 2 factors, one is within-subject factor, AGE(2levels), and the other is > between-subject factor, Speed(6levels). > One dependent variables, RT. > > The data, I got, is not satisfied with the normality and homogeneity of > variance.
Those conditions are not applicable to the data but rather on residuals. > > > So I tried to do the non-parametric test and use the Friedmann test > function(friedman.test) in R . > > > and I got the error message as below.. > "Error in friedman.test.default(RT, Speed, AGE) : > friedman.test error: not an unreplicated complete block design" > > How can I deal with this problem? Depending on the severity of lack of homogeneity of variance on residuals, you may (or may not) need to consider robust methods. https://cran.r-project.org/web/views/Robust.html > Please help > > Thanks! > > Kind regards, > > Ahreum > > > [[alternative HTML version deleted]] Any response should be posted in plain text. > > ______________________________________________ > 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. David Winsemius Alameda, CA, USA ______________________________________________ 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.
