Dear All: example 14.1, Montgomery, chapter 14. *Supplier* is a *fixed factor*, *Batches* is a *random factor* nested within the fixed factor Supplier.
How to analyze these data in R in two ways: 1- Nested Design fit <- aov(purity~Supplier/Batch) it did not give me the expected output. 2- as a factorial (suppliers Fixed, Batches Random) fit.out <- aov(Purity~Supplier*Batch, data=have) it did not give me the expected output. Here is the data set: =============== > data Supplier Batch Purity 1 1 1 1 1 -1 1 1 0 1 2 -2 1 2 -3 1 2 -4 1 3 -2 1 3 0 1 3 1 1 4 1 1 4 4 1 4 0 2 1 1 2 1 -2 2 1 -3 2 2 0 2 2 4 2 2 2 2 3 -1 2 3 0 2 3 -2 2 4 0 2 4 3 2 4 2 3 1 2 3 1 4 3 1 0 3 2 -2 3 2 0 3 2 2 3 3 1 3 3 -1 3 3 2 3 4 3 3 4 2 3 4 1 many thanks Steven -- Steven M. Stoline 1123 Forest Avenue Portland, ME 04112 [email protected] [[alternative HTML version deleted]] _______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
