Nothing
data/ED.R
In IPSUR: Introduction to Probability and Statistics Using R
ED <- structure(list(model = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("A",
"B", "C"), class = "factor"), los = c(9.5, 3.7, 2.8, 14.6, 4.1,
6.3, 5.3, 1.9, 4.1, 3, 9, 9, 3.3, 2.8, 6, 5.5, 4.4, 2.7, 13,
2.2, 0.8, 6.4, 1.5, 2.8, 2.5, 2.6, 10.2, 2.8, 2.1, 7.8, 7, 7.5,
7.5, 4.5, 6.1, 11, 6.3, 6.9, 9.8, 2, 6.2, 2.5, 1.8, 6.6, 4.5,
1.9, 1.1, 1.3, 2.9, 9, 7.7, 2.6, 2.2, 1.4, 3.4, 7.6, 1.8, 1.7,
11.1, 3, 1.7, 4.5, 0.3, 7.4, 0.4, 7.9, 18.3, 4.3, 1.9, 2.5, 2,
4.1, 3.5, 1.3, 2, 2.7, 4.8, 9, 2.2, 5.6, 8.6, 3, 1, 1.8, 2.7,
4.2, 1.4, 1, 2.7, 3.3, 2.7, 4.8, 2, 6.7, 5.1, 0.8, 0.9, 0.7,
0.9, 0.9, 0.7, 0.7, 1, 4.3, 21.9, 5.5, 7, 4.1, 2.8, 2.3, 2.9,
2, 2.1, 3.2, 2.3, 2.4, 7.1, 5.6, 3.5, 4, 3.9, 3.9, 14.8, 2.5,
2.9, 3, 4.7, 10.4, 4, 7.5, 3.7, 9.5, 14.1, 3.3, 4.8, 5.8, 12.1,
19.6, 8.5, 5.4, 13.4, 3.7, 3.4, 12.9, 6, 2, 5.6, 4.7, 3.8, 6.9,
2.6, 8.5, 1.2, 3.3, 4.2, 10.3, 1.3, 4.5, 9, 4.4, 7.8, 7.3, 13.5,
2.1), age = c(40L, 50L, 85L, 61L, 85L, 56L, 71L, 58L, 76L, 51L,
95L, 82L, 86L, 79L, 86L, 72L, 78L, 70L, 60L, 70L, 36L, 42L, 49L,
42L, 65L, 65L, 63L, 77L, 52L, 66L, 57L, 70L, 68L, 89L, 34L, 82L,
65L, 70L, 42L, 92L, 65L, 81L, 56L, 95L, 60L, 87L, 52L, 59L, 56L,
76L, 57L, 65L, 59L, 49L, 60L, 64L, 54L, 90L, 61L, 86L, 56L, 63L,
35L, 57L, 66L, 65L, 69L, 72L, 59L, 73L, 61L, 81L, 58L, 53L, 83L,
60L, 82L, 61L, 64L, 68L, 70L, 82L, 69L, 60L, 55L, 51L, 65L, 84L,
52L, 58L, 57L, 89L, 58L, 55L, 64L, 70L, 50L, 44L, 43L, 54L, 90L,
77L, 70L, 56L, 77L, 51L, 55L, 88L, 76L, 63L, 86L, 81L, 65L, 94L,
84L, 72L, 89L, 65L, 62L, 85L, 62L, 70L, 65L, 76L, 83L, 63L, 75L,
30L, 61L, 56L, 83L, 69L, 69L, 71L, 33L, 77L, 72L, 75L, 73L, 71L,
60L, 55L, 84L, 45L, 76L, 56L, 44L, 45L, 98L, 77L, 85L, 72L, 65L,
78L, 62L, 33L, 47L, 50L, 63L, 78L, 92L, 88L, 60L, 67L), gender = structure(c(2L,
2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L,
2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L,
1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L,
2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L,
2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L,
1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L,
2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 2L), .Label = c("F", "M"), class = "factor"), cci = c(2L,
0L, 5L, 6L, 3L, 2L, 1L, 1L, 4L, 3L, 4L, 5L, 1L, 1L, 3L, 4L, 6L,
4L, 3L, 4L, 0L, 2L, 1L, 0L, 1L, 2L, 3L, 1L, 2L, 1L, 0L, 5L, 4L,
2L, 0L, 2L, 3L, 0L, 0L, 1L, 0L, 2L, 1L, 1L, 1L, 1L, 5L, 0L, 2L,
4L, 0L, 5L, 3L, 2L, 6L, 3L, 6L, 4L, 6L, 2L, 2L, 3L, 0L, 3L, 3L,
2L, 5L, 4L, 3L, 3L, 1L, 3L, 3L, 0L, 0L, 7L, 2L, 4L, 3L, 0L, 0L,
2L, 3L, 0L, 0L, 3L, 12L, 3L, 2L, 1L, 4L, 3L, 1L, 5L, 6L, 2L,
1L, 0L, 3L, 0L, 3L, 6L, 0L, 3L, 1L, 1L, 0L, 2L, 4L, 2L, 1L, 2L,
3L, 2L, 0L, 8L, 4L, 6L, 2L, 2L, 1L, 0L, 1L, 2L, 3L, 3L, 6L, 2L,
3L, 4L, 0L, 2L, 0L, 9L, 3L, 0L, 0L, 4L, 3L, 0L, 2L, 5L, 2L, 3L,
3L, 2L, 7L, 1L, 2L, 3L, 3L, 6L, 0L, 3L, 3L, 2L, 2L, 2L, 7L, 5L,
4L, 3L, 7L, 1L), LACE = c(10L, 7L, 13L, 19L, 10L, 13L, 8L, 8L,
10L, 9L, 17L, 15L, 8L, 7L, 12L, 16L, 14L, 11L, 11L, 10L, 7L,
9L, 3L, 6L, 7L, 8L, 12L, 7L, 8L, 9L, 9L, 10L, 10L, 10L, 7L, 10L,
13L, 8L, 8L, 6L, 4L, 5L, 6L, 10L, 5L, 8L, 9L, 4L, 11L, 14L, 8L,
12L, 11L, 6L, 13L, 11L, 11L, 10L, 10L, 5L, 11L, 8L, 3L, 9L, 6L,
11L, 12L, 9L, 9L, 7L, 6L, 10L, 10L, 8L, 5L, 12L, 9L, 10L, 9L,
7L, 8L, 8L, 7L, 5L, 6L, 11L, 6L, 7L, 9L, 7L, 15L, 14L, 7L, 15L,
12L, 2L, 5L, 3L, 10L, 3L, 7L, 10L, 4L, 8L, 11L, 8L, 12L, 9L,
12L, 10L, 8L, 9L, 8L, 12L, 2L, 11L, 12L, 12L, 6L, 9L, 8L, 9L,
11L, 8L, 9L, 9L, 15L, 10L, 10L, 11L, 8L, 7L, 10L, 15L, 14L, 4L,
11L, 18L, 8L, 7L, 11L, 15L, 6L, 12L, 13L, 11L, 16L, 8L, 12L,
12L, 11L, 17L, 5L, 9L, 10L, 12L, 7L, 10L, 14L, 13L, 15L, 11L,
15L, 6L), readmit = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("N",
"Y"), class = "factor"), ED = structure(c(1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("N",
"Y"), class = "factor"), visit = c(FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, TRUE,
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE)), .Names = c("model",
"los", "age", "gender", "cci", "LACE", "readmit", "ED", "visit"
), row.names = c(NA, -164L), class = "data.frame")
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ED <- structure(list(model = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("A",
"B", "C"), class = "factor"), los = c(9.5, 3.7, 2.8, 14.6, 4.1,
6.3, 5.3, 1.9, 4.1, 3, 9, 9, 3.3, 2.8, 6, 5.5, 4.4, 2.7, 13,
2.2, 0.8, 6.4, 1.5, 2.8, 2.5, 2.6, 10.2, 2.8, 2.1, 7.8, 7, 7.5,
7.5, 4.5, 6.1, 11, 6.3, 6.9, 9.8, 2, 6.2, 2.5, 1.8, 6.6, 4.5,
1.9, 1.1, 1.3, 2.9, 9, 7.7, 2.6, 2.2, 1.4, 3.4, 7.6, 1.8, 1.7,
11.1, 3, 1.7, 4.5, 0.3, 7.4, 0.4, 7.9, 18.3, 4.3, 1.9, 2.5, 2,
4.1, 3.5, 1.3, 2, 2.7, 4.8, 9, 2.2, 5.6, 8.6, 3, 1, 1.8, 2.7,
4.2, 1.4, 1, 2.7, 3.3, 2.7, 4.8, 2, 6.7, 5.1, 0.8, 0.9, 0.7,
0.9, 0.9, 0.7, 0.7, 1, 4.3, 21.9, 5.5, 7, 4.1, 2.8, 2.3, 2.9,
2, 2.1, 3.2, 2.3, 2.4, 7.1, 5.6, 3.5, 4, 3.9, 3.9, 14.8, 2.5,
2.9, 3, 4.7, 10.4, 4, 7.5, 3.7, 9.5, 14.1, 3.3, 4.8, 5.8, 12.1,
19.6, 8.5, 5.4, 13.4, 3.7, 3.4, 12.9, 6, 2, 5.6, 4.7, 3.8, 6.9,
2.6, 8.5, 1.2, 3.3, 4.2, 10.3, 1.3, 4.5, 9, 4.4, 7.8, 7.3, 13.5,
2.1), age = c(40L, 50L, 85L, 61L, 85L, 56L, 71L, 58L, 76L, 51L,
95L, 82L, 86L, 79L, 86L, 72L, 78L, 70L, 60L, 70L, 36L, 42L, 49L,
42L, 65L, 65L, 63L, 77L, 52L, 66L, 57L, 70L, 68L, 89L, 34L, 82L,
65L, 70L, 42L, 92L, 65L, 81L, 56L, 95L, 60L, 87L, 52L, 59L, 56L,
76L, 57L, 65L, 59L, 49L, 60L, 64L, 54L, 90L, 61L, 86L, 56L, 63L,
35L, 57L, 66L, 65L, 69L, 72L, 59L, 73L, 61L, 81L, 58L, 53L, 83L,
60L, 82L, 61L, 64L, 68L, 70L, 82L, 69L, 60L, 55L, 51L, 65L, 84L,
52L, 58L, 57L, 89L, 58L, 55L, 64L, 70L, 50L, 44L, 43L, 54L, 90L,
77L, 70L, 56L, 77L, 51L, 55L, 88L, 76L, 63L, 86L, 81L, 65L, 94L,
84L, 72L, 89L, 65L, 62L, 85L, 62L, 70L, 65L, 76L, 83L, 63L, 75L,
30L, 61L, 56L, 83L, 69L, 69L, 71L, 33L, 77L, 72L, 75L, 73L, 71L,
60L, 55L, 84L, 45L, 76L, 56L, 44L, 45L, 98L, 77L, 85L, 72L, 65L,
78L, 62L, 33L, 47L, 50L, 63L, 78L, 92L, 88L, 60L, 67L), gender = structure(c(2L,
2L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 2L, 2L,
2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L,
1L, 2L, 2L, 1L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L,
2L, 2L, 1L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L,
1L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
2L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 2L, 1L, 1L, 2L, 1L, 1L, 2L, 1L,
2L, 2L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 1L, 1L, 2L,
1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 2L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 1L,
2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 2L), .Label = c("F", "M"), class = "factor"), cci = c(2L,
0L, 5L, 6L, 3L, 2L, 1L, 1L, 4L, 3L, 4L, 5L, 1L, 1L, 3L, 4L, 6L,
4L, 3L, 4L, 0L, 2L, 1L, 0L, 1L, 2L, 3L, 1L, 2L, 1L, 0L, 5L, 4L,
2L, 0L, 2L, 3L, 0L, 0L, 1L, 0L, 2L, 1L, 1L, 1L, 1L, 5L, 0L, 2L,
4L, 0L, 5L, 3L, 2L, 6L, 3L, 6L, 4L, 6L, 2L, 2L, 3L, 0L, 3L, 3L,
2L, 5L, 4L, 3L, 3L, 1L, 3L, 3L, 0L, 0L, 7L, 2L, 4L, 3L, 0L, 0L,
2L, 3L, 0L, 0L, 3L, 12L, 3L, 2L, 1L, 4L, 3L, 1L, 5L, 6L, 2L,
1L, 0L, 3L, 0L, 3L, 6L, 0L, 3L, 1L, 1L, 0L, 2L, 4L, 2L, 1L, 2L,
3L, 2L, 0L, 8L, 4L, 6L, 2L, 2L, 1L, 0L, 1L, 2L, 3L, 3L, 6L, 2L,
3L, 4L, 0L, 2L, 0L, 9L, 3L, 0L, 0L, 4L, 3L, 0L, 2L, 5L, 2L, 3L,
3L, 2L, 7L, 1L, 2L, 3L, 3L, 6L, 0L, 3L, 3L, 2L, 2L, 2L, 7L, 5L,
4L, 3L, 7L, 1L), LACE = c(10L, 7L, 13L, 19L, 10L, 13L, 8L, 8L,
10L, 9L, 17L, 15L, 8L, 7L, 12L, 16L, 14L, 11L, 11L, 10L, 7L,
9L, 3L, 6L, 7L, 8L, 12L, 7L, 8L, 9L, 9L, 10L, 10L, 10L, 7L, 10L,
13L, 8L, 8L, 6L, 4L, 5L, 6L, 10L, 5L, 8L, 9L, 4L, 11L, 14L, 8L,
12L, 11L, 6L, 13L, 11L, 11L, 10L, 10L, 5L, 11L, 8L, 3L, 9L, 6L,
11L, 12L, 9L, 9L, 7L, 6L, 10L, 10L, 8L, 5L, 12L, 9L, 10L, 9L,
7L, 8L, 8L, 7L, 5L, 6L, 11L, 6L, 7L, 9L, 7L, 15L, 14L, 7L, 15L,
12L, 2L, 5L, 3L, 10L, 3L, 7L, 10L, 4L, 8L, 11L, 8L, 12L, 9L,
12L, 10L, 8L, 9L, 8L, 12L, 2L, 11L, 12L, 12L, 6L, 9L, 8L, 9L,
11L, 8L, 9L, 9L, 15L, 10L, 10L, 11L, 8L, 7L, 10L, 15L, 14L, 4L,
11L, 18L, 8L, 7L, 11L, 15L, 6L, 12L, 13L, 11L, 16L, 8L, 12L,
12L, 11L, 17L, 5L, 9L, 10L, 12L, 7L, 10L, 14L, 13L, 15L, 11L,
15L, 6L), readmit = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("N",
"Y"), class = "factor"), ED = structure(c(1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("N",
"Y"), class = "factor"), visit = c(FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,
FALSE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, TRUE, TRUE, TRUE,
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE,
TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE)), .Names = c("model",
"los", "age", "gender", "cci", "LACE", "readmit", "ED", "visit"
), row.names = c(NA, -164L), class = "data.frame")
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