search for: trial_type

...been measured twice, I include a within-subjects factor for trial number. However, with 40 levels I would have 39 degrees of freedom, that with only 16 participants is not appropriate. For this reason I have also grouped the audio stimuli by their type. So my independent variable could be Trial_type, having 20 levels. Unfortunately, reducing in this way is still too few for 16 participants. Therefore my idea is to perform a MANOVA not on the whole table, but separately for each subset defining an emotion. In this way I would have just 4 lvels. My question is: is this a correct approach to...

...e a data frame that is the result of a cast (reshape) operation. I deleted the variable column and tried to melt the resulting data frame. Depending on which method I use to delete the column I get different error messages when melting: > head(tinfos) vpn group trial_no item relation trial_type rt variable # 1 102 2 1 4351 diag1 distractor 8471 fix_d 27 2 102 2 2 1214 id target 4072 fix_d 17 3 102 2 3 4213 diag1 distractor 7040 fix_d 27 4 102 2 4 1314 id target 4370 fix_d 15 5 102...