# # fra H&L Appendix, low birth weight data set # idnumber <- data[ ,1] # yy0 <- data[ ,2] # age <- data[ ,3] # lwt <- data[, 4] * 0.45349 # from pounds to kg # race <- data[ ,5] # smoke <- data[ ,6] # ptl <- data[ ,7] # ht <- data[ ,8] # ui <- data[ ,9] # ftv <- data[ ,10] # bwt <- data[ ,11] / 1000 # in kg, not gram # data <- matrix( scan("smallbabies_data", skip=14), ncol=11, byrow=TRUE ) 85 0 19 182 2 0 0 0 1 0 2523 86 0 33 155 3 0 0 0 0 3 2551 87 0 20 105 1 1 0 0 0 1 2557 88 0 21 108 1 1 0 0 1 2 2594 89 0 18 107 1 1 0 0 1 0 2600 91 0 21 124 3 0 0 0 0 0 2622 92 0 22 118 1 0 0 0 0 1 2637 93 0 17 103 3 0 0 0 0 1 2637 94 0 29 123 1 1 0 0 0 1 2663 95 0 26 113 1 1 0 0 0 0 2665 96 0 19 95 3 0 0 0 0 0 2722 97 0 19 150 3 0 0 0 0 1 2733 98 0 22 95 3 0 0 1 0 0 2750 99 0 30 107 3 0 1 0 1 2 2750 100 0 18 100 1 1 0 0 0 0 2769 101 0 18 100 1 1 0 0 0 0 2769 102 0 15 98 2 0 0 0 0 0 2778 103 0 25 118 1 1 0 0 0 3 2782 104 0 20 120 3 0 0 0 1 0 2807 105 0 28 120 1 1 0 0 0 1 2821 106 0 32 121 3 0 0 0 0 2 2835 107 0 31 100 1 0 0 0 1 3 2835 108 0 36 202 1 0 0 0 0 1 2836 109 0 28 120 3 0 0 0 0 0 2863 111 0 25 120 3 0 0 0 1 2 2877 112 0 28 167 1 0 0 0 0 0 2877 113 0 17 122 1 1 0 0 0 0 2906 114 0 29 150 1 0 0 0 0 2 2920 115 0 26 168 2 1 0 0 0 0 2920 116 0 17 113 2 0 0 0 0 1 2920 117 0 17 113 2 0 0 0 0 1 2920 118 0 24 90 1 1 1 0 0 1 2948 119 0 35 121 2 1 1 0 0 1 2948 120 0 25 155 1 0 0 0 0 1 2977 121 0 25 125 2 0 0 0 0 0 2977 123 0 29 140 1 1 0 0 0 2 2977 124 0 19 138 1 1 0 0 0 2 2977 125 0 27 124 1 1 0 0 0 0 2992 126 0 31 215 1 1 0 0 0 2 3005 127 0 33 109 1 1 0 0 0 1 3033 128 0 21 185 2 1 0 0 0 2 3042 129 0 19 189 1 0 0 0 0 2 3062 130 0 23 130 2 0 0 0 0 1 3062 131 0 21 160 1 0 0 0 0 0 3062 132 0 18 90 1 1 0 0 1 0 3076 133 0 18 90 1 1 0 0 1 0 3076 134 0 32 132 1 0 0 0 0 4 3080 135 0 19 132 3 0 0 0 0 0 3090 136 0 24 115 1 0 0 0 0 2 3090 137 0 22 85 3 1 0 0 0 0 3090 138 0 22 120 1 0 0 1 0 1 3100 139 0 23 128 3 0 0 0 0 0 3104 140 0 22 130 1 1 0 0 0 0 3132 141 0 30 95 1 1 0 0 0 2 3147 142 0 19 115 3 0 0 0 0 0 3175 143 0 16 110 3 0 0 0 0 0 3175 144 0 21 110 3 1 0 0 1 0 3203 145 0 30 153 3 0 0 0 0 0 3203 146 0 20 103 3 0 0 0 0 0 3203 147 0 17 119 3 0 0 0 0 0 3225 148 0 17 119 3 0 0 0 0 0 3225 149 0 23 119 3 0 0 0 0 2 3232 150 0 24 110 3 0 0 0 0 0 3232 151 0 28 140 1 0 0 0 0 0 3234 154 0 26 133 3 1 2 0 0 0 3260 155 0 20 169 3 0 1 0 1 1 3274 156 0 24 115 3 0 0 0 0 2 3274 159 0 28 250 3 1 0 0 0 6 3303 160 0 20 141 1 0 2 0 1 1 3317 161 0 22 158 2 0 1 0 0 2 3317 162 0 22 112 1 1 2 0 0 0 3317 163 0 31 150 3 1 0 0 0 2 3321 164 0 23 115 3 1 0 0 0 1 3331 166 0 16 112 2 0 0 0 0 0 3374 167 0 16 135 1 1 0 0 0 0 3374 168 0 18 229 2 0 0 0 0 0 3402 169 0 25 140 1 0 0 0 0 1 3416 170 0 32 134 1 1 1 0 0 4 3430 172 0 20 121 2 1 0 0 0 0 3444 173 0 23 190 1 0 0 0 0 0 3459 174 0 22 131 1 0 0 0 0 1 3460 175 0 32 170 1 0 0 0 0 0 3473 176 0 30 110 3 0 0 0 0 0 3475 177 0 20 127 3 0 0 0 0 0 3487 179 0 23 123 3 0 0 0 0 0 3544 180 0 17 120 3 1 0 0 0 0 3572 181 0 19 105 3 0 0 0 0 0 3572 182 0 23 130 1 0 0 0 0 0 3586 183 0 36 175 1 0 0 0 0 0 3600 184 0 22 125 1 0 0 0 0 1 3614 185 0 24 133 1 0 0 0 0 0 3614 186 0 21 134 3 0 0 0 0 2 3629 187 0 19 235 1 1 0 1 0 0 3629 188 0 25 95 1 1 3 0 1 0 3637 189 0 16 135 1 1 0 0 0 0 3643 190 0 29 135 1 0 0 0 0 1 3651 191 0 29 154 1 0 0 0 0 1 3651 192 0 19 147 1 1 0 0 0 0 3651 193 0 19 147 1 1 0 0 0 0 3651 195 0 30 137 1 0 0 0 0 1 3699 196 0 24 110 1 0 0 0 0 1 3728 197 0 19 184 1 1 0 1 0 0 3756 199 0 24 110 3 0 1 0 0 0 3770 200 0 23 110 1 0 0 0 0 1 3770 201 0 20 120 3 0 0 0 0 0 3770 202 0 25 241 2 0 0 1 0 0 3790 203 0 30 112 1 0 0 0 0 1 3799 204 0 22 169 1 0 0 0 0 0 3827 205 0 18 120 1 1 0 0 0 2 3856 206 0 16 170 2 0 0 0 0 4 3860 207 0 32 186 1 0 0 0 0 2 3860 208 0 18 120 3 0 0 0 0 1 3884 209 0 29 130 1 1 0 0 0 2 3884 210 0 33 117 1 0 0 0 1 1 3912 211 0 20 170 1 1 0 0 0 0 3940 212 0 28 134 3 0 0 0 0 1 3941 213 0 14 135 1 0 0 0 0 0 3941 214 0 28 130 3 0 0 0 0 0 3969 215 0 25 120 1 0 0 0 0 2 3983 216 0 16 95 3 0 0 0 0 1 3997 217 0 20 158 1 0 0 0 0 1 3997 218 0 26 160 3 0 0 0 0 0 4054 219 0 21 115 1 0 0 0 0 1 4054 220 0 22 129 1 0 0 0 0 0 4111 221 0 25 130 1 0 0 0 0 2 4153 222 0 31 120 1 0 0 0 0 2 4167 223 0 35 170 1 0 1 0 0 1 4174 224 0 19 120 1 1 0 0 0 0 4238 225 0 24 116 1 0 0 0 0 1 4593 226 0 45 123 1 0 0 0 0 1 4990 4 1 28 120 3 1 1 0 1 0 709 10 1 29 130 1 0 0 0 1 2 1021 11 1 34 187 2 1 0 1 0 0 1135 13 1 25 105 3 0 1 1 0 0 1330 15 1 25 85 3 0 0 0 1 0 1474 16 1 27 150 3 0 0 0 0 0 1588 17 1 23 97 3 0 0 0 1 1 1588 18 1 24 128 2 0 1 0 0 1 1701 19 1 24 132 3 0 0 1 0 0 1729 20 1 21 165 1 1 0 1 0 1 1790 22 1 32 105 1 1 0 0 0 0 1818 23 1 19 91 1 1 2 0 1 0 1885 24 1 25 115 3 0 0 0 0 0 1893 25 1 16 130 3 0 0 0 0 1 1899 26 1 25 92 1 1 0 0 0 0 1928 27 1 20 150 1 1 0 0 0 2 1928 28 1 21 200 2 0 0 0 1 2 1928 29 1 24 155 1 1 1 0 0 0 1936 30 1 21 103 3 0 0 0 0 0 1970 31 1 20 125 3 0 0 0 1 0 2055 32 1 25 89 3 0 2 0 0 1 2055 33 1 19 102 1 0 0 0 0 2 2082 34 1 19 112 1 1 0 0 1 0 2084 35 1 26 117 1 1 1 0 0 0 2084 36 1 24 138 1 0 0 0 0 0 2100 37 1 17 130 3 1 1 0 1 0 2125 40 1 20 120 2 1 0 0 0 3 2126 42 1 22 130 1 1 1 0 1 1 2187 43 1 27 130 2 0 0 0 1 0 2187 44 1 20 80 3 1 0 0 1 0 2211 45 1 17 110 1 1 0 0 0 0 2225 46 1 25 105 3 0 1 0 0 1 2240 47 1 20 109 3 0 0 0 0 0 2240 49 1 18 148 3 0 0 0 0 0 2282 50 1 18 110 2 1 1 0 0 0 2296 51 1 20 121 1 1 1 0 1 0 2296 52 1 21 100 3 0 1 0 0 4 2301 54 1 26 96 3 0 0 0 0 0 2325 56 1 31 102 1 1 1 0 0 1 2353 57 1 15 110 1 0 0 0 0 0 2353 59 1 23 187 2 1 0 0 0 1 2367 60 1 20 122 2 1 0 0 0 0 2381 61 1 24 105 2 1 0 0 0 0 2381 62 1 15 115 3 0 0 0 1 0 2381 63 1 23 120 3 0 0 0 0 0 2395 65 1 30 142 1 1 1 0 0 0 2410 67 1 22 130 1 1 0 0 0 1 2410 68 1 17 120 1 1 0 0 0 3 2414 69 1 23 110 1 1 1 0 0 0 2424 71 1 17 120 2 0 0 0 0 2 2438 75 1 26 154 3 0 1 1 0 1 2442 76 1 20 105 3 0 0 0 0 3 2450 77 1 26 190 1 1 0 0 0 0 2466 78 1 14 101 3 1 1 0 0 0 2466 79 1 28 95 1 1 0 0 0 2 2466 81 1 14 100 3 0 0 0 0 2 2495 82 1 23 94 3 1 0 0 0 0 2495 83 1 17 142 2 0 0 1 0 0 2495 84 1 21 130 1 1 0 1 0 3 2495