search for: results_data_listening_test_grouped

...for each subset defining an emotion. In this way I would have just 4 lvels. My question is: is this a correct approach to analyze data? Or it is better to use other strategies? For example, looking at the following .csv table which can be downloaded here: https://dl.dropbox.com/u/3288659/Results_data_listening_Test_Grouped.csv I create the subset for emotion Sad, and then I try to perform the MANOVA with repeated measures on it: Sad <- subset(scrd, Emotion == "Sad") model.emotions<-lm(cbind(Sad,Tender,Neutral,Happy,Aggressive) ~ Trial_type,data=scrd) idata<-data.frame(scrd$Trial_number)...