I am trying to fit a formula to my data, but I just can't find the right way to do it. My experiment consists of manipulating FRUITS and VEGETATION to two levels each(intact or removed) on 12 experimental plots. This leaves me with 4 treatment combinations Fruit intact Vegetation removed Fruit int. Veget int. Fruit rem. Veget rem. Fruit rem. Veget. intac those treatements are distributed accross 3 blocks. Plots were repeated surveyed for mice using 16 PLATES that recorded mice TRACK prints on each block. I am trying to create a grouped data that incorporates the the fixed effects of FRUIT VEGETATION TIME and random repeated measures for PLATE and random effects for BLOCK I tried this groupedData(track~fruit*veget*time, outer=plate|block) Error in groupedData(track ~ fruit * veget * time, outer = plate | block) : Right hand side of first argument must be a conditional expression but obviously it did not work. I would appreciate any comments on this. I looked at Pinheiro and Bates and they don't have an example of this. Thanks Beto -- View this message in context: http://www.nabble.com/GroupedData-for-three-way-randomized-block.-LME-tp18407476p18407476.html Sent from the R help mailing list archive at Nabble.com.
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