![]() ![]() ![]() Analyzing these data, I obtained different aov and STATISTICA summaries. Using ddply I obtained condition means for NativeLanguage and Class for each subject (the data frame is shown at the bottom ob my post). E.g., To get a sense for RTs I reversed the log transform exp(lexdec$RT) then removed Error responses and RT outliers. I was analyzing the RTs lexdec data base from the languageR package. HOw can this be? Any suggestion? Here are more details: The interaction of the within-between factors again yields identical terms. They yield identical between Subject effects (e.g., NativeLanguage(English vs Other), but different F ratios for within subject effects (e.g., Class(animate vs inanimate), aov F-ratios being consistently smaller and more conservative. I've just compared the ANOVA tables generated by SPSS and Statistica with the aov table provided by summary(aov.model). ![]()
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