blob: 3492e5c11a09f1c98bba1b9c175a2746fb2483e3 [file] [log] [blame]
OrchardSprays <-
data.frame(decrease = c(57, 95, 8, 69, 92, 90, 15, 2, 84, 6, 127, 36,
51, 2, 69, 71, 87, 72, 5, 39, 22, 16, 72, 4, 130, 4, 114, 9, 20, 24, 10,
51, 43, 28, 60, 5, 17, 7, 81, 71, 12, 29, 44, 77, 4, 27, 47, 76, 8, 72,
13, 57, 4, 81, 20, 61, 80, 114, 39, 14, 86, 55, 3, 19), rowpos = c(1, 2,
3, 4, 5, 6, 7, 8, 1, 2, 3, 4, 5, 6, 7, 8, 1, 2, 3, 4, 5, 6, 7, 8, 1, 2,
3, 4, 5, 6, 7, 8, 1, 2, 3, 4, 5, 6, 7, 8, 1, 2, 3, 4, 5, 6, 7, 8, 1, 2,
3, 4, 5, 6, 7, 8, 1, 2, 3, 4, 5, 6, 7, 8), colpos = c(1, 1, 1, 1, 1, 1,
1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4,
4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7,
7, 7, 8, 8, 8, 8, 8, 8, 8, 8), treatment = factor(c(4, 5, 2,
8, 7, 6, 3, 1, 3, 2, 8, 4, 5, 1, 6, 7, 6, 8, 1, 5, 4, 3, 7, 2, 8, 1, 5,
3, 6, 7, 2, 4, 5, 4, 7, 1, 3, 2, 8, 6, 1, 3, 6, 7, 2, 4, 5, 8, 2, 7, 3,
6, 1, 8, 4, 5, 7, 6, 4, 2, 8, 5, 1, 3), levels=1:8,
labels = c("A", "B", "C", "D", "E", "F", "G", "H")))