![]() If normality is not assumed, use the Kruskal-Wallis test.If variances are not equal, use the Welch ANOVA.The results include ANOVA table, generalized effect size and some assumption checks. Variables can be also specified as character vector using the arguments dv, wid, between, within, covariate. of Freedom 3 16 Residual standard error: 2. • If normality is assumed, test the homogeneity of the variances: It might be controversial to say so, but the tools to run traditional repeat measures Anova in R are a bit of a pain. It makes ANOVA computation handy in R and It's highly flexible: can support model and formula as input. You stack them in the long format: mdat <- stack (mydata) mdat values ind 1 1 a 2 3 a 3 4 a 4 6 a 5 8 a 6 3 b 7 6 b snipped output > aov ( values ind, mdat) Call: aov (formula values ind, data mdat) Terms: ind Residuals Sum of Squares 18.2 65.6 Deg.
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