Nothing
data/ewrates.R
In ISwR: Introductory Statistics with R
# England and Wales mortality rates from lung cancer, nasal cancer,
# and all causes 1936 - 1980. (1936 rates repeated as 1931 rates).
# From Breslow and Day, Vol II, Appendix IX.
ewrates <-
structure(list(year = c(1931, 1931, 1931, 1931, 1931, 1931, 1931,
1931, 1931, 1931, 1931, 1931, 1931, 1931, 1931, 1936, 1936, 1936,
1936, 1936, 1936, 1936, 1936, 1936, 1936, 1936, 1936, 1936, 1936,
1936, 1941, 1941, 1941, 1941, 1941, 1941, 1941, 1941, 1941, 1941,
1941, 1941, 1941, 1941, 1941, 1946, 1946, 1946, 1946, 1946, 1946,
1946, 1946, 1946, 1946, 1946, 1946, 1946, 1946, 1946, 1951, 1951,
1951, 1951, 1951, 1951, 1951, 1951, 1951, 1951, 1951, 1951, 1951,
1951, 1951, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956,
1956, 1956, 1956, 1956, 1956, 1956, 1961, 1961, 1961, 1961, 1961,
1961, 1961, 1961, 1961, 1961, 1961, 1961, 1961, 1961, 1961, 1966,
1966, 1966, 1966, 1966, 1966, 1966, 1966, 1966, 1966, 1966, 1966,
1966, 1966, 1966, 1971, 1971, 1971, 1971, 1971, 1971, 1971, 1971,
1971, 1971, 1971, 1971, 1971, 1971, 1971, 1976, 1976, 1976, 1976,
1976, 1976, 1976, 1976, 1976, 1976, 1976, 1976, 1976, 1976, 1976
), age = c(10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70,
75, 80, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75,
80, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80,
10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 10,
15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 10, 15,
20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 10, 15, 20,
25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 10, 15, 20, 25,
30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 10, 15, 20, 25, 30,
35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 10, 15, 20, 25, 30, 35,
40, 45, 50, 55, 60, 65, 70, 75, 80), lung = c(1, 2, 6, 14, 30,
68, 149, 274, 431, 586, 646, 636, 533, 464, 324, 1, 2, 6, 14,
30, 68, 149, 274, 431, 586, 646, 636, 533, 464, 324, 1, 2, 6,
16, 34, 81, 191, 384, 597, 883, 1021, 970, 748, 631, 385, 1,
3, 8, 18, 36, 94, 236, 544, 954, 1350, 1717, 1763, 1400, 1085,
765, 0, 2, 7, 13, 35, 98, 248, 579, 1224, 2003, 2555, 2926, 2624,
2069, 1416, 0, 2, 4, 12, 35, 93, 251, 590, 1248, 2317, 3315,
3926, 3878, 3332, 2258, 0, 2, 5, 11, 34, 90, 223, 563, 1221,
2284, 3663, 4844, 4977, 4513, 3417, 0, 2, 4, 10, 25, 76, 216,
531, 1160, 2201, 3695, 5273, 6210, 5914, 4563, 0, 1, 4, 10, 24,
58, 177, 503, 1070, 2077, 3546, 5174, 6820, 7273, 6089, 0, 1,
2, 7, 17, 56, 139, 403, 1003, 1896, 3342, 4985, 6718, 8068, 7744
), nasal = c(0, 0, 0, 0, 1, 1, 3, 5, 10, 15, 16, 19, 27, 48,
47, 0, 0, 0, 0, 1, 1, 3, 5, 10, 15, 16, 19, 27, 48, 47, 0, 0,
0, 0, 1, 1, 3, 5, 10, 15, 16, 19, 27, 48, 47, 0, 0, 0, 0, 1,
1, 3, 5, 10, 15, 16, 19, 27, 48, 47, 0, 0, 0, 0, 1, 1, 3, 5,
10, 15, 16, 19, 27, 48, 47, 0, 0, 0, 0, 1, 1, 3, 3, 6, 12, 17,
24, 28, 43, 50, 0, 0, 0, 0, 0, 1, 3, 4, 8, 9, 14, 18, 26, 41,
42, 0, 0, 0, 0, 0, 1, 2, 5, 7, 11, 16, 23, 29, 36, 31, 0, 0,
0, 1, 1, 1, 4, 4, 8, 11, 16, 26, 29, 33, 38, 0, 0, 0, 1, 1, 1,
2, 3, 9, 9, 15, 17, 20, 38, 33), other = c(1269, 2201, 3116,
3024, 3188, 4165, 5651, 8326, 13073, 19500, 30033, 45159, 72884,
120403, 183341, 1269, 2201, 3116, 3024, 3188, 4165, 5651, 8326,
13073, 19500, 30033, 45159, 72884, 120403, 183341, 1194, 2221,
3697, 3175, 3088, 3549, 4841, 7275, 11253, 17624, 27190, 41844,
63503, 103716, 161527, 690, 1194, 1589, 1787, 1990, 2493, 3643,
6154, 9755, 16058, 26287, 39985, 63136, 100618, 156959, 480,
858, 1230, 1253, 1474, 2008, 2998, 5126, 9222, 15410, 25864,
41555, 65408, 105973, 164695, 403, 875, 1116, 1050, 1228, 1801,
2795, 4667, 8296, 14941, 24552, 39537, 63512, 99886, 159181,
407, 949, 1098, 997, 1184, 1764, 2822, 4766, 8098, 14240, 24412,
39332, 62544, 97792, 154476, 389, 959, 971, 919, 1096, 1616,
2812, 4771, 8088, 13666, 23118, 38657, 61478, 94831, 138973,
346, 875, 983, 876, 1048, 1524, 2670, 4786, 8018, 13204, 21570,
36232, 59169, 92488, 141812, 293, 868, 930, 875, 976, 1454, 2394,
4311, 7687, 12544, 20787, 33729, 55480, 89199, 137360)), .Names = c("year",
"age", "lung", "nasal", "other"), class = "data.frame", row.names = c("1",
"2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13",
"14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24",
"25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35",
"36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46",
"47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57",
"58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68",
"69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79",
"80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90",
"91", "92", "93", "94", "95", "96", "97", "98", "99", "100",
"101", "102", "103", "104", "105", "106", "107", "108", "109",
"110", "111", "112", "113", "114", "115", "116", "117", "118",
"119", "120", "121", "122", "123", "124", "125", "126", "127",
"128", "129", "130", "131", "132", "133", "134", "135", "136",
"137", "138", "139", "140", "141", "142", "143", "144", "145",
"146", "147", "148", "149", "150"))
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# England and Wales mortality rates from lung cancer, nasal cancer,
# and all causes 1936 - 1980. (1936 rates repeated as 1931 rates).
# From Breslow and Day, Vol II, Appendix IX.
ewrates <-
structure(list(year = c(1931, 1931, 1931, 1931, 1931, 1931, 1931,
1931, 1931, 1931, 1931, 1931, 1931, 1931, 1931, 1936, 1936, 1936,
1936, 1936, 1936, 1936, 1936, 1936, 1936, 1936, 1936, 1936, 1936,
1936, 1941, 1941, 1941, 1941, 1941, 1941, 1941, 1941, 1941, 1941,
1941, 1941, 1941, 1941, 1941, 1946, 1946, 1946, 1946, 1946, 1946,
1946, 1946, 1946, 1946, 1946, 1946, 1946, 1946, 1946, 1951, 1951,
1951, 1951, 1951, 1951, 1951, 1951, 1951, 1951, 1951, 1951, 1951,
1951, 1951, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956, 1956,
1956, 1956, 1956, 1956, 1956, 1956, 1961, 1961, 1961, 1961, 1961,
1961, 1961, 1961, 1961, 1961, 1961, 1961, 1961, 1961, 1961, 1966,
1966, 1966, 1966, 1966, 1966, 1966, 1966, 1966, 1966, 1966, 1966,
1966, 1966, 1966, 1971, 1971, 1971, 1971, 1971, 1971, 1971, 1971,
1971, 1971, 1971, 1971, 1971, 1971, 1971, 1976, 1976, 1976, 1976,
1976, 1976, 1976, 1976, 1976, 1976, 1976, 1976, 1976, 1976, 1976
), age = c(10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70,
75, 80, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75,
80, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80,
10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 10,
15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 10, 15,
20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 10, 15, 20,
25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 10, 15, 20, 25,
30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 10, 15, 20, 25, 30,
35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 10, 15, 20, 25, 30, 35,
40, 45, 50, 55, 60, 65, 70, 75, 80), lung = c(1, 2, 6, 14, 30,
68, 149, 274, 431, 586, 646, 636, 533, 464, 324, 1, 2, 6, 14,
30, 68, 149, 274, 431, 586, 646, 636, 533, 464, 324, 1, 2, 6,
16, 34, 81, 191, 384, 597, 883, 1021, 970, 748, 631, 385, 1,
3, 8, 18, 36, 94, 236, 544, 954, 1350, 1717, 1763, 1400, 1085,
765, 0, 2, 7, 13, 35, 98, 248, 579, 1224, 2003, 2555, 2926, 2624,
2069, 1416, 0, 2, 4, 12, 35, 93, 251, 590, 1248, 2317, 3315,
3926, 3878, 3332, 2258, 0, 2, 5, 11, 34, 90, 223, 563, 1221,
2284, 3663, 4844, 4977, 4513, 3417, 0, 2, 4, 10, 25, 76, 216,
531, 1160, 2201, 3695, 5273, 6210, 5914, 4563, 0, 1, 4, 10, 24,
58, 177, 503, 1070, 2077, 3546, 5174, 6820, 7273, 6089, 0, 1,
2, 7, 17, 56, 139, 403, 1003, 1896, 3342, 4985, 6718, 8068, 7744
), nasal = c(0, 0, 0, 0, 1, 1, 3, 5, 10, 15, 16, 19, 27, 48,
47, 0, 0, 0, 0, 1, 1, 3, 5, 10, 15, 16, 19, 27, 48, 47, 0, 0,
0, 0, 1, 1, 3, 5, 10, 15, 16, 19, 27, 48, 47, 0, 0, 0, 0, 1,
1, 3, 5, 10, 15, 16, 19, 27, 48, 47, 0, 0, 0, 0, 1, 1, 3, 5,
10, 15, 16, 19, 27, 48, 47, 0, 0, 0, 0, 1, 1, 3, 3, 6, 12, 17,
24, 28, 43, 50, 0, 0, 0, 0, 0, 1, 3, 4, 8, 9, 14, 18, 26, 41,
42, 0, 0, 0, 0, 0, 1, 2, 5, 7, 11, 16, 23, 29, 36, 31, 0, 0,
0, 1, 1, 1, 4, 4, 8, 11, 16, 26, 29, 33, 38, 0, 0, 0, 1, 1, 1,
2, 3, 9, 9, 15, 17, 20, 38, 33), other = c(1269, 2201, 3116,
3024, 3188, 4165, 5651, 8326, 13073, 19500, 30033, 45159, 72884,
120403, 183341, 1269, 2201, 3116, 3024, 3188, 4165, 5651, 8326,
13073, 19500, 30033, 45159, 72884, 120403, 183341, 1194, 2221,
3697, 3175, 3088, 3549, 4841, 7275, 11253, 17624, 27190, 41844,
63503, 103716, 161527, 690, 1194, 1589, 1787, 1990, 2493, 3643,
6154, 9755, 16058, 26287, 39985, 63136, 100618, 156959, 480,
858, 1230, 1253, 1474, 2008, 2998, 5126, 9222, 15410, 25864,
41555, 65408, 105973, 164695, 403, 875, 1116, 1050, 1228, 1801,
2795, 4667, 8296, 14941, 24552, 39537, 63512, 99886, 159181,
407, 949, 1098, 997, 1184, 1764, 2822, 4766, 8098, 14240, 24412,
39332, 62544, 97792, 154476, 389, 959, 971, 919, 1096, 1616,
2812, 4771, 8088, 13666, 23118, 38657, 61478, 94831, 138973,
346, 875, 983, 876, 1048, 1524, 2670, 4786, 8018, 13204, 21570,
36232, 59169, 92488, 141812, 293, 868, 930, 875, 976, 1454, 2394,
4311, 7687, 12544, 20787, 33729, 55480, 89199, 137360)), .Names = c("year",
"age", "lung", "nasal", "other"), class = "data.frame", row.names = c("1",
"2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13",
"14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24",
"25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35",
"36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46",
"47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57",
"58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68",
"69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79",
"80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90",
"91", "92", "93", "94", "95", "96", "97", "98", "99", "100",
"101", "102", "103", "104", "105", "106", "107", "108", "109",
"110", "111", "112", "113", "114", "115", "116", "117", "118",
"119", "120", "121", "122", "123", "124", "125", "126", "127",
"128", "129", "130", "131", "132", "133", "134", "135", "136",
"137", "138", "139", "140", "141", "142", "143", "144", "145",
"146", "147", "148", "149", "150"))
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