Hi! I work right now with my first real job in R. It�s a series of 12 fertilizer trials with three repetations. The treatments can be broken down to 2 x 2 factors (Product and Application). Experimenting both with lm() and aov() makes me a little confused as I don�t get any differences in the sum of squares.
With aov() I have used a command of this type: aov(Yield ~ Product * Application + Error(Trial/Block)) With lm() I have used something like: lm(Yield ~ Trial/Block + Product * Application) The placing of the term Trial/Block in the lm() statement doesn�t seem to matter. How do I tell R that the Trial term should be random in the lm() statement? It�s quite obvious that the Error term in aov() is random, but in the lm()? Is that implied of the fact that it has a nested term inside? If so, and I don�t have plotwise data, how do I mark Trial as Random? /CG CG Pettersson [EMAIL PROTECTED] ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
