data/chameleons.R
In hturner/BradleyTerry2: Bradley-Terry Models
chameleons <-
structure(list(winner = structure(list(ID = structure(c(22L,
4L, 24L, 30L, 17L, 26L, 4L, 23L, 24L, 8L, 16L, 21L, 22L, 17L,
26L, 23L, 24L, 12L, 31L, 28L, 33L, 15L, 10L, 18L, 22L, 20L, 26L,
28L, 33L, 5L, 19L, 8L, 25L, 12L, 31L, 15L, 18L, 8L, 16L, 9L,
12L, 10L, 19L, 11L, 18L, 28L, 5L, 19L, 8L, 12L, 28L, 26L, 34L,
18L, 31L, 16L, 12L, 17L, 34L, 15L, 16L, 25L, 31L, 34L, 15L, 18L,
31L, 12L, 21L, 26L, 33L, 8L, 20L, 34L, 24L, 25L, 33L, 16L, 21L,
15L, 10L, 12L, 10L, 18L, 8L, 13L, 12L, 33L, 28L, 34L, 26L, 25L,
9L, 23L, 22L, 10L, 10L, 9L, 33L, 34L, 26L, 31L, 23L, 13L, 25L,
30L), .Label = c("C01", "C02", "C03", "C04", "C05", "C06", "C08",
"C10", "C11", "C12", "C13", "C14", "C15", "C16", "C17", "C19",
"C20", "C21", "C22", "C24", "C25", "C26", "C28", "C29", "C30",
"C31", "C32", "C34", "C35", "C36", "C37", "C38", "C39", "C40",
"C41"), class = "factor"), prev.wins.1 = c(0L, 0L, 0L, 0L, 0L,
0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L,
1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L,
1L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L,
1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L,
0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L,
0L, 1L, 1L, 1L, 0L), prev.wins.2 = c(0L, 0L, 0L, 0L, 0L, 0L,
1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 2L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 2L, 0L, 2L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 2L,
1L, 0L, 2L, 1L, 1L, 0L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 0L, 2L,
1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L,
1L, 1L, 0L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 0L,
2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L,
1L, 1L, 2L, 0L), prev.wins.all = c(0L, 0L, 0L, 0L, 0L, 0L, 1L,
0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 2L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 2L, 0L, 2L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 2L, 1L,
0L, 2L, 1L, 1L, 0L, 2L, 2L, 1L, 2L, 3L, 3L, 3L, 3L, 0L, 3L, 2L,
2L, 4L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 3L, 4L, 4L, 5L, 1L, 4L, 2L,
4L, 1L, 3L, 3L, 2L, 3L, 4L, 2L, 4L, 2L, 6L, 3L, 5L, 5L, 0L, 7L,
4L, 4L, 4L, 5L, 3L, 1L, 2L, 3L, 4L, 5L, 2L, 5L, 5L, 6L, 5L, 3L,
1L, 4L, 1L)), .Names = c("ID", "prev.wins.1", "prev.wins.2",
"prev.wins.all"), row.names = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 13L, 14L, 15L, 17L, 18L, 19L, 20L, 21L, 22L,
23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L,
36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L,
49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L,
62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L,
75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L,
88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L,
101L, 102L, 103L, 104L, 105L, 106L, 107L), class = "data.frame"),
loser = structure(list(ID = structure(c(2L, 7L, 23L, 35L,
29L, 34L, 6L, 30L, 35L, 13L, 25L, 2L, 20L, 34L, 29L, 35L,
30L, 9L, 27L, 3L, 1L, 32L, 11L, 11L, 21L, 2L, 17L, 1L, 3L,
10L, 14L, 16L, 13L, 27L, 9L, 11L, 32L, 25L, 13L, 27L, 31L,
14L, 5L, 32L, 15L, 33L, 14L, 10L, 27L, 3L, 20L, 4L, 6L, 23L,
8L, 27L, 28L, 22L, 7L, 30L, 9L, 27L, 3L, 4L, 14L, 5L, 1L,
20L, 29L, 15L, 31L, 2L, 7L, 35L, 19L, 3L, 4L, 29L, 14L, 17L,
30L, 21L, 17L, 24L, 4L, 27L, 17L, 20L, 30L, 11L, 19L, 6L,
7L, 5L, 5L, 15L, 12L, 14L, 28L, 20L, 24L, 11L, 15L, 3L, 29L,
14L), .Label = c("C01", "C02", "C03", "C04", "C05", "C06",
"C08", "C10", "C11", "C12", "C13", "C14", "C15", "C16", "C17",
"C19", "C20", "C21", "C22", "C24", "C25", "C26", "C28", "C29",
"C30", "C31", "C32", "C34", "C35", "C36", "C37", "C38", "C39",
"C40", "C41"), class = "factor"), prev.wins.1 = c(0L, 0L,
0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 1L,
0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L,
1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L,
0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L,
0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L,
0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L),
prev.wins.2 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
1L, 0L, 2L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L,
0L, 0L, 2L, 0L, 1L, 0L, 2L, 2L, 0L, 1L, 0L, 0L, 1L, 2L,
0L, 2L, 2L, 0L, 2L, 2L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L,
0L, 1L, 0L, 2L, 2L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 1L,
0L, 2L, 1L, 2L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 1L,
0L, 1L, 2L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L), prev.wins.all = c(0L,
0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 3L, 0L, 0L,
0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 2L, 0L, 0L,
1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 2L, 0L, 1L,
0L, 2L, 2L, 0L, 2L, 0L, 0L, 1L, 3L, 0L, 2L, 4L, 0L, 4L,
3L, 0L, 1L, 1L, 0L, 0L, 3L, 0L, 2L, 0L, 1L, 0L, 4L, 5L,
0L, 0L, 0L, 3L, 0L, 3L, 0L, 0L, 3L, 1L, 3L, 3L, 4L, 3L,
0L, 3L, 2L, 1L, 1L, 3L, 0L, 0L, 2L, 2L, 5L, 8L, 0L, 5L,
2L, 4L, 1L, 5L, 0L, 0L, 0L)), .Names = c("ID", "prev.wins.1",
"prev.wins.2", "prev.wins.all"), row.names = c(1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 17L,
18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L,
30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L,
42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L,
54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L,
66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L,
78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L,
90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L,
102L, 103L, 104L, 105L, 106L, 107L), class = "data.frame"),
predictors = structure(list(ch.res = c(0.94, 0.85, 0.02,
-1.76, 0.02, -0.37, -0.87, -0.01, 0.63, 1.63, -0.58, 1.46,
-0.54, -0.11, 0.11, -0.21, 0.49, 0.24, 0.02, 0.18, 0.45,
-0.59, 0.25, 0.24, 0.18, 0.39, -1.11, -0.4, -1.02, 1.63,
-0.47, -0.3, 0.26, -1.88, -1.08), jl.res = c(0.52, 1.41,
-0.16, -0.79, 0.25, -0.24, -0.72, -0.21, -0.04, -1.2, -0.19,
-1.43, -0.1, 0.33, -0.44, -0.23, 0.73, -0.12, 0.65, 0.72,
0.19, 0.22, -0.03, 0.12, 0.58, 0.22, -0.45, -0.4, -0.83,
1.3, 0.02, -0.26, 0.24, -0.48, -0.14), tl.res = c(-1.58,
5.04, 3.43, -5.63, 2.97, -4.1, 1.83, -3.8, -0.15, -8.68,
-1.22, -1.85, 1.59, 3.24, -2.48, 0.74, 4.73, 3.07, -6.44,
-0.41, -7.03, -0.84, 8.08, -9.25, -1.48, -1.66, 1.22, -1.84,
-2, 11.13, 1.25, 11.95, 5.39, 1.09, 4.31), mass.res = c(-0.45,
0.81, 0.31, -1.4, -0.19, -1.21, -1.46, 0.28, 0.9, 0.52, -0.42,
0.09, 0.24, 0.77, -0.86, -0.16, 0.29, -0.04, 1.19, 0.01,
0.79, -0.11, 0.21, 0.2, 0.24, 0.91, 0.19, 1.29, -0.42, 2.39,
0.07, -0.45, 0.19, -0.91, -0.62), SVL = c(72.8, 74.57, 74.66,
79.17, 89.52, 80.26, 80.31, 72.22, 70.62, 85.91, 81.84, 73.74,
69.32, 90.43, 81.29, 68.47, 77.04, 81.99, 88.7, 76.03, 76.48,
77.83, 82.73, 85.96, 70.12, 78.45, 72.2, 73.74, 77.95, 82.7,
70.32, 81.34, 75.8, 79, 83.3), prop.main = c(35.66853756,
21.13429221, 25.84193276, 33.21091076, 25.10409025, 25.10409025,
27.97210113, 24.3500636, 24.3500636, 31.30644625, 30.65729899,
31.94805943, 34.44990199, 31.30644625, 33.21091076, 22.786498,
31.30644625, 33.21091076, 27.27472868, 27.97210113, 37.46496893,
31.94805943, 27.97210113, 22.786498, 25.10409025, 45, 35.66853756,
33.21091076, 21.13429221, 26.56505118, 27.27472868, 25.10409025,
32.58270626, 31.30644625, 31.30644625), prop.patch = c(50.1848799,
30, 28.65818058, 41.55394871, 38.05672982, 39.8151201, 43.28009362,
34.44990199, 36.86989765, 31.30644625, 39.23152048, 48.44605129,
42.13041476, 38.6454835, 49.02392312, 29.33387425, 38.6454835,
39.8151201, 33.83315867, 30, 49.60344811, 43.85377861, 42.70571713,
27.27472868, 40.97607688, 50.76847952, 47.29428287, 42.13041476,
21.97275978, 44.427004, 37.46496893, 34.44990199, 45, 53.72880156,
43.28009362)), .Names = c("ch.res", "jl.res", "tl.res", "mass.res",
"SVL", "prop.main", "prop.patch"), row.names = c("C01", "C02",
"C03", "C04", "C05", "C06", "C08", "C10", "C11", "C12", "C13",
"C14", "C15", "C16", "C17", "C19", "C20", "C21", "C22", "C24",
"C25", "C26", "C28", "C29", "C30", "C31", "C32", "C34", "C35",
"C36", "C37", "C38", "C39", "C40", "C41"), class = "data.frame")), .Names = c("winner",
"loser", "predictors"))
hturner/BradleyTerry2 documentation built on June 10, 2025, 11:05 a.m.
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chameleons <-
structure(list(winner = structure(list(ID = structure(c(22L,
4L, 24L, 30L, 17L, 26L, 4L, 23L, 24L, 8L, 16L, 21L, 22L, 17L,
26L, 23L, 24L, 12L, 31L, 28L, 33L, 15L, 10L, 18L, 22L, 20L, 26L,
28L, 33L, 5L, 19L, 8L, 25L, 12L, 31L, 15L, 18L, 8L, 16L, 9L,
12L, 10L, 19L, 11L, 18L, 28L, 5L, 19L, 8L, 12L, 28L, 26L, 34L,
18L, 31L, 16L, 12L, 17L, 34L, 15L, 16L, 25L, 31L, 34L, 15L, 18L,
31L, 12L, 21L, 26L, 33L, 8L, 20L, 34L, 24L, 25L, 33L, 16L, 21L,
15L, 10L, 12L, 10L, 18L, 8L, 13L, 12L, 33L, 28L, 34L, 26L, 25L,
9L, 23L, 22L, 10L, 10L, 9L, 33L, 34L, 26L, 31L, 23L, 13L, 25L,
30L), .Label = c("C01", "C02", "C03", "C04", "C05", "C06", "C08",
"C10", "C11", "C12", "C13", "C14", "C15", "C16", "C17", "C19",
"C20", "C21", "C22", "C24", "C25", "C26", "C28", "C29", "C30",
"C31", "C32", "C34", "C35", "C36", "C37", "C38", "C39", "C40",
"C41"), class = "factor"), prev.wins.1 = c(0L, 0L, 0L, 0L, 0L,
0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L,
1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 0L,
1L, 0L, 1L, 1L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L,
1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 1L, 1L, 1L, 1L,
0L, 1L, 1L, 0L, 1L, 1L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 1L, 1L,
0L, 1L, 1L, 1L, 0L), prev.wins.2 = c(0L, 0L, 0L, 0L, 0L, 0L,
1L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 2L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 2L, 0L, 2L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 2L,
1L, 0L, 2L, 1L, 1L, 0L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 0L, 2L,
1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 1L, 2L,
1L, 1L, 0L, 2L, 2L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 1L, 0L,
2L, 2L, 1L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 1L,
1L, 1L, 2L, 0L), prev.wins.all = c(0L, 0L, 0L, 0L, 0L, 0L, 1L,
0L, 1L, 0L, 0L, 0L, 1L, 1L, 1L, 1L, 2L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 2L, 0L, 2L, 1L, 1L, 0L, 0L, 1L, 0L, 1L, 1L, 1L, 1L, 2L, 1L,
0L, 2L, 1L, 1L, 0L, 2L, 2L, 1L, 2L, 3L, 3L, 3L, 3L, 0L, 3L, 2L,
2L, 4L, 2L, 1L, 2L, 3L, 1L, 3L, 2L, 3L, 4L, 4L, 5L, 1L, 4L, 2L,
4L, 1L, 3L, 3L, 2L, 3L, 4L, 2L, 4L, 2L, 6L, 3L, 5L, 5L, 0L, 7L,
4L, 4L, 4L, 5L, 3L, 1L, 2L, 3L, 4L, 5L, 2L, 5L, 5L, 6L, 5L, 3L,
1L, 4L, 1L)), .Names = c("ID", "prev.wins.1", "prev.wins.2",
"prev.wins.all"), row.names = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 13L, 14L, 15L, 17L, 18L, 19L, 20L, 21L, 22L,
23L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L,
36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 48L,
49L, 50L, 51L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L,
62L, 63L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L,
75L, 76L, 77L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L,
88L, 89L, 90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L,
101L, 102L, 103L, 104L, 105L, 106L, 107L), class = "data.frame"),
loser = structure(list(ID = structure(c(2L, 7L, 23L, 35L,
29L, 34L, 6L, 30L, 35L, 13L, 25L, 2L, 20L, 34L, 29L, 35L,
30L, 9L, 27L, 3L, 1L, 32L, 11L, 11L, 21L, 2L, 17L, 1L, 3L,
10L, 14L, 16L, 13L, 27L, 9L, 11L, 32L, 25L, 13L, 27L, 31L,
14L, 5L, 32L, 15L, 33L, 14L, 10L, 27L, 3L, 20L, 4L, 6L, 23L,
8L, 27L, 28L, 22L, 7L, 30L, 9L, 27L, 3L, 4L, 14L, 5L, 1L,
20L, 29L, 15L, 31L, 2L, 7L, 35L, 19L, 3L, 4L, 29L, 14L, 17L,
30L, 21L, 17L, 24L, 4L, 27L, 17L, 20L, 30L, 11L, 19L, 6L,
7L, 5L, 5L, 15L, 12L, 14L, 28L, 20L, 24L, 11L, 15L, 3L, 29L,
14L), .Label = c("C01", "C02", "C03", "C04", "C05", "C06",
"C08", "C10", "C11", "C12", "C13", "C14", "C15", "C16", "C17",
"C19", "C20", "C21", "C22", "C24", "C25", "C26", "C28", "C29",
"C30", "C31", "C32", "C34", "C35", "C36", "C37", "C38", "C39",
"C40", "C41"), class = "factor"), prev.wins.1 = c(0L, 0L,
0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 1L, 0L, 1L,
0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L, 0L, 1L, 1L, 0L,
1L, 0L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 1L, 1L, 0L, 0L, 1L, 0L,
0L, 0L, 0L, 1L, 0L, 0L, 0L, 1L, 1L, 0L, 0L, 0L, 1L, 0L, 0L,
0L, 0L, 1L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 1L, 0L, 1L, 0L, 0L,
0L, 0L, 0L, 1L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L),
prev.wins.2 = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
1L, 0L, 2L, 0L, 0L, 1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L,
0L, 0L, 2L, 0L, 1L, 0L, 2L, 2L, 0L, 1L, 0L, 0L, 1L, 2L,
0L, 2L, 2L, 0L, 2L, 2L, 0L, 0L, 1L, 0L, 0L, 1L, 0L, 1L,
0L, 1L, 0L, 2L, 2L, 0L, 0L, 0L, 2L, 0L, 0L, 0L, 0L, 1L,
0L, 2L, 1L, 2L, 0L, 0L, 0L, 1L, 0L, 1L, 1L, 0L, 0L, 1L,
0L, 1L, 2L, 0L, 1L, 1L, 1L, 1L, 1L, 0L, 0L, 0L), prev.wins.all = c(0L,
0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 0L, 0L, 3L, 0L, 0L,
0L, 1L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 2L, 0L, 0L,
1L, 0L, 1L, 0L, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 2L, 0L, 1L,
0L, 2L, 2L, 0L, 2L, 0L, 0L, 1L, 3L, 0L, 2L, 4L, 0L, 4L,
3L, 0L, 1L, 1L, 0L, 0L, 3L, 0L, 2L, 0L, 1L, 0L, 4L, 5L,
0L, 0L, 0L, 3L, 0L, 3L, 0L, 0L, 3L, 1L, 3L, 3L, 4L, 3L,
0L, 3L, 2L, 1L, 1L, 3L, 0L, 0L, 2L, 2L, 5L, 8L, 0L, 5L,
2L, 4L, 1L, 5L, 0L, 0L, 0L)), .Names = c("ID", "prev.wins.1",
"prev.wins.2", "prev.wins.all"), row.names = c(1L, 2L, 3L,
4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 17L,
18L, 19L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 28L, 29L,
30L, 31L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L,
42L, 43L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 52L, 53L,
54L, 55L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 64L, 65L,
66L, 67L, 68L, 69L, 70L, 71L, 72L, 73L, 74L, 75L, 76L, 77L,
78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L,
90L, 91L, 92L, 93L, 94L, 95L, 96L, 97L, 98L, 99L, 100L, 101L,
102L, 103L, 104L, 105L, 106L, 107L), class = "data.frame"),
predictors = structure(list(ch.res = c(0.94, 0.85, 0.02,
-1.76, 0.02, -0.37, -0.87, -0.01, 0.63, 1.63, -0.58, 1.46,
-0.54, -0.11, 0.11, -0.21, 0.49, 0.24, 0.02, 0.18, 0.45,
-0.59, 0.25, 0.24, 0.18, 0.39, -1.11, -0.4, -1.02, 1.63,
-0.47, -0.3, 0.26, -1.88, -1.08), jl.res = c(0.52, 1.41,
-0.16, -0.79, 0.25, -0.24, -0.72, -0.21, -0.04, -1.2, -0.19,
-1.43, -0.1, 0.33, -0.44, -0.23, 0.73, -0.12, 0.65, 0.72,
0.19, 0.22, -0.03, 0.12, 0.58, 0.22, -0.45, -0.4, -0.83,
1.3, 0.02, -0.26, 0.24, -0.48, -0.14), tl.res = c(-1.58,
5.04, 3.43, -5.63, 2.97, -4.1, 1.83, -3.8, -0.15, -8.68,
-1.22, -1.85, 1.59, 3.24, -2.48, 0.74, 4.73, 3.07, -6.44,
-0.41, -7.03, -0.84, 8.08, -9.25, -1.48, -1.66, 1.22, -1.84,
-2, 11.13, 1.25, 11.95, 5.39, 1.09, 4.31), mass.res = c(-0.45,
0.81, 0.31, -1.4, -0.19, -1.21, -1.46, 0.28, 0.9, 0.52, -0.42,
0.09, 0.24, 0.77, -0.86, -0.16, 0.29, -0.04, 1.19, 0.01,
0.79, -0.11, 0.21, 0.2, 0.24, 0.91, 0.19, 1.29, -0.42, 2.39,
0.07, -0.45, 0.19, -0.91, -0.62), SVL = c(72.8, 74.57, 74.66,
79.17, 89.52, 80.26, 80.31, 72.22, 70.62, 85.91, 81.84, 73.74,
69.32, 90.43, 81.29, 68.47, 77.04, 81.99, 88.7, 76.03, 76.48,
77.83, 82.73, 85.96, 70.12, 78.45, 72.2, 73.74, 77.95, 82.7,
70.32, 81.34, 75.8, 79, 83.3), prop.main = c(35.66853756,
21.13429221, 25.84193276, 33.21091076, 25.10409025, 25.10409025,
27.97210113, 24.3500636, 24.3500636, 31.30644625, 30.65729899,
31.94805943, 34.44990199, 31.30644625, 33.21091076, 22.786498,
31.30644625, 33.21091076, 27.27472868, 27.97210113, 37.46496893,
31.94805943, 27.97210113, 22.786498, 25.10409025, 45, 35.66853756,
33.21091076, 21.13429221, 26.56505118, 27.27472868, 25.10409025,
32.58270626, 31.30644625, 31.30644625), prop.patch = c(50.1848799,
30, 28.65818058, 41.55394871, 38.05672982, 39.8151201, 43.28009362,
34.44990199, 36.86989765, 31.30644625, 39.23152048, 48.44605129,
42.13041476, 38.6454835, 49.02392312, 29.33387425, 38.6454835,
39.8151201, 33.83315867, 30, 49.60344811, 43.85377861, 42.70571713,
27.27472868, 40.97607688, 50.76847952, 47.29428287, 42.13041476,
21.97275978, 44.427004, 37.46496893, 34.44990199, 45, 53.72880156,
43.28009362)), .Names = c("ch.res", "jl.res", "tl.res", "mass.res",
"SVL", "prop.main", "prop.patch"), row.names = c("C01", "C02",
"C03", "C04", "C05", "C06", "C08", "C10", "C11", "C12", "C13",
"C14", "C15", "C16", "C17", "C19", "C20", "C21", "C22", "C24",
"C25", "C26", "C28", "C29", "C30", "C31", "C32", "C34", "C35",
"C36", "C37", "C38", "C39", "C40", "C41"), class = "data.frame")), .Names = c("winner",
"loser", "predictors"))
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