R/distance_join.R
distance_join.RdThis differs from difference_join in that it considers
all of the columns together when computing distance. This allows it
to use metrics such as Euclidean or Manhattan that depend on multiple
columns. Note that if you are computing with longitude or latitude,
you probably want to use geo_join.
distance_join( x, y, by = NULL, max_dist = 1, method = c("euclidean", "manhattan"), mode = "inner", distance_col = NULL ) distance_inner_join( x, y, by = NULL, method = "euclidean", max_dist = 1, distance_col = NULL ) distance_left_join( x, y, by = NULL, method = "euclidean", max_dist = 1, distance_col = NULL ) distance_right_join( x, y, by = NULL, method = "euclidean", max_dist = 1, distance_col = NULL ) distance_full_join( x, y, by = NULL, method = "euclidean", max_dist = 1, distance_col = NULL ) distance_semi_join( x, y, by = NULL, method = "euclidean", max_dist = 1, distance_col = NULL ) distance_anti_join( x, y, by = NULL, method = "euclidean", max_dist = 1, distance_col = NULL )
| x | A tbl |
|---|---|
| y | A tbl |
| by | Columns by which to join the two tables |
| max_dist | Maximum distance to use for joining |
| method | Method to use for computing distance, either euclidean (default) or manhattan. |
| mode | One of "inner", "left", "right", "full" "semi", or "anti" |
| distance_col | If given, will add a column with this name containing the distance between the two |
#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.2 setosa #> 2 4.9 3.0 1.4 0.2 setosa #> 3 4.7 3.2 1.3 0.2 setosa #> 4 4.6 3.1 1.5 0.2 setosa #> 5 5.0 3.6 1.4 0.2 setosa #> 6 5.4 3.9 1.7 0.4 setosasepal_lengths <- data_frame(Sepal.Length = c(5, 6, 7), Sepal.Width = 1:3) iris %>% distance_inner_join(sepal_lengths, max_dist = 2)#>#> Sepal.Length.x Sepal.Width.x Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.2 setosa #> 2 5.1 3.5 1.4 0.2 setosa #> 3 4.9 3.0 1.4 0.2 setosa #> 4 4.7 3.2 1.3 0.2 setosa #> 5 4.6 3.1 1.5 0.2 setosa #> 6 5.0 3.6 1.4 0.2 setosa #> 7 5.4 3.9 1.7 0.4 setosa #> 8 5.4 3.9 1.7 0.4 setosa #> 9 4.6 3.4 1.4 0.3 setosa #> 10 5.0 3.4 1.5 0.2 setosa #> 11 4.4 2.9 1.4 0.2 setosa #> 12 4.4 2.9 1.4 0.2 setosa #> 13 4.9 3.1 1.5 0.1 setosa #> 14 5.4 3.7 1.5 0.2 setosa #> 15 5.4 3.7 1.5 0.2 setosa #> 16 4.8 3.4 1.6 0.2 setosa #> 17 4.8 3.0 1.4 0.1 setosa #> 18 4.3 3.0 1.1 0.1 setosa #> 19 5.8 4.0 1.2 0.2 setosa #> 20 5.7 4.4 1.5 0.4 setosa #> 21 5.4 3.9 1.3 0.4 setosa #> 22 5.4 3.9 1.3 0.4 setosa #> 23 5.1 3.5 1.4 0.3 setosa #> 24 5.1 3.5 1.4 0.3 setosa #> 25 5.7 3.8 1.7 0.3 setosa #> 26 5.7 3.8 1.7 0.3 setosa #> 27 5.4 3.4 1.7 0.2 setosa #> 28 5.4 3.4 1.7 0.2 setosa #> 29 5.1 3.7 1.5 0.4 setosa #> 30 5.1 3.3 1.7 0.5 setosa #> 31 5.1 3.3 1.7 0.5 setosa #> 32 4.8 3.4 1.9 0.2 setosa #> 33 5.0 3.0 1.6 0.2 setosa #> 34 5.0 3.0 1.6 0.2 setosa #> 35 5.0 3.0 1.6 0.2 setosa #> 36 5.0 3.4 1.6 0.4 setosa #> 37 5.2 3.5 1.5 0.2 setosa #> 38 5.2 3.5 1.5 0.2 setosa #> 39 5.2 3.4 1.4 0.2 setosa #> 40 5.2 3.4 1.4 0.2 setosa #> 41 4.7 3.2 1.6 0.2 setosa #> 42 4.8 3.1 1.6 0.2 setosa #> 43 5.4 3.4 1.5 0.4 setosa #> 44 5.4 3.4 1.5 0.4 setosa #> 45 5.5 4.2 1.4 0.2 setosa #> 46 4.9 3.1 1.5 0.2 setosa #> 47 5.0 3.2 1.2 0.2 setosa #> 48 5.5 3.5 1.3 0.2 setosa #> 49 5.5 3.5 1.3 0.2 setosa #> 50 4.9 3.6 1.4 0.1 setosa #> 51 4.4 3.0 1.3 0.2 setosa #> 52 5.1 3.4 1.5 0.2 setosa #> 53 5.1 3.4 1.5 0.2 setosa #> 54 5.0 3.5 1.3 0.3 setosa #> 55 4.5 2.3 1.3 0.3 setosa #> 56 4.5 2.3 1.3 0.3 setosa #> 57 4.4 3.2 1.3 0.2 setosa #> 58 5.0 3.5 1.6 0.6 setosa #> 59 4.8 3.0 1.4 0.3 setosa #> 60 4.6 3.2 1.4 0.2 setosa #> 61 5.3 3.7 1.5 0.2 setosa #> 62 5.3 3.7 1.5 0.2 setosa #> 63 5.0 3.3 1.4 0.2 setosa #> 64 7.0 3.2 4.7 1.4 versicolor #> 65 7.0 3.2 4.7 1.4 versicolor #> 66 6.4 3.2 4.5 1.5 versicolor #> 67 6.4 3.2 4.5 1.5 versicolor #> 68 6.9 3.1 4.9 1.5 versicolor #> 69 6.9 3.1 4.9 1.5 versicolor #> 70 5.5 2.3 4.0 1.3 versicolor #> 71 5.5 2.3 4.0 1.3 versicolor #> 72 5.5 2.3 4.0 1.3 versicolor #> 73 6.5 2.8 4.6 1.5 versicolor #> 74 6.5 2.8 4.6 1.5 versicolor #> 75 5.7 2.8 4.5 1.3 versicolor #> 76 5.7 2.8 4.5 1.3 versicolor #> 77 5.7 2.8 4.5 1.3 versicolor #> 78 6.3 3.3 4.7 1.6 versicolor #> 79 6.3 3.3 4.7 1.6 versicolor #> 80 4.9 2.4 3.3 1.0 versicolor #> 81 4.9 2.4 3.3 1.0 versicolor #> 82 6.6 2.9 4.6 1.3 versicolor #> 83 6.6 2.9 4.6 1.3 versicolor #> 84 5.2 2.7 3.9 1.4 versicolor #> 85 5.2 2.7 3.9 1.4 versicolor #> 86 5.2 2.7 3.9 1.4 versicolor #> 87 5.0 2.0 3.5 1.0 versicolor #> 88 5.0 2.0 3.5 1.0 versicolor #> 89 5.9 3.0 4.2 1.5 versicolor #> 90 5.9 3.0 4.2 1.5 versicolor #> 91 6.0 2.2 4.0 1.0 versicolor #> 92 6.0 2.2 4.0 1.0 versicolor #> 93 6.0 2.2 4.0 1.0 versicolor #> 94 6.1 2.9 4.7 1.4 versicolor #> 95 6.1 2.9 4.7 1.4 versicolor #> 96 5.6 2.9 3.6 1.3 versicolor #> 97 5.6 2.9 3.6 1.3 versicolor #> 98 5.6 2.9 3.6 1.3 versicolor #> 99 6.7 3.1 4.4 1.4 versicolor #> 100 6.7 3.1 4.4 1.4 versicolor #> 101 5.6 3.0 4.5 1.5 versicolor #> 102 5.6 3.0 4.5 1.5 versicolor #> 103 5.8 2.7 4.1 1.0 versicolor #> 104 5.8 2.7 4.1 1.0 versicolor #> 105 5.8 2.7 4.1 1.0 versicolor #> 106 6.2 2.2 4.5 1.5 versicolor #> 107 6.2 2.2 4.5 1.5 versicolor #> 108 6.2 2.2 4.5 1.5 versicolor #> 109 5.6 2.5 3.9 1.1 versicolor #> 110 5.6 2.5 3.9 1.1 versicolor #> 111 5.6 2.5 3.9 1.1 versicolor #> 112 5.9 3.2 4.8 1.8 versicolor #> 113 5.9 3.2 4.8 1.8 versicolor #> 114 6.1 2.8 4.0 1.3 versicolor #> 115 6.1 2.8 4.0 1.3 versicolor #> 116 6.3 2.5 4.9 1.5 versicolor #> 117 6.3 2.5 4.9 1.5 versicolor #> 118 6.3 2.5 4.9 1.5 versicolor #> 119 6.1 2.8 4.7 1.2 versicolor #> 120 6.1 2.8 4.7 1.2 versicolor #> 121 6.4 2.9 4.3 1.3 versicolor #> 122 6.4 2.9 4.3 1.3 versicolor #> 123 6.6 3.0 4.4 1.4 versicolor #> 124 6.6 3.0 4.4 1.4 versicolor #> 125 6.8 2.8 4.8 1.4 versicolor #> 126 6.8 2.8 4.8 1.4 versicolor #> 127 6.7 3.0 5.0 1.7 versicolor #> 128 6.7 3.0 5.0 1.7 versicolor #> 129 6.0 2.9 4.5 1.5 versicolor #> 130 6.0 2.9 4.5 1.5 versicolor #> 131 5.7 2.6 3.5 1.0 versicolor #> 132 5.7 2.6 3.5 1.0 versicolor #> 133 5.7 2.6 3.5 1.0 versicolor #> 134 5.5 2.4 3.8 1.1 versicolor #> 135 5.5 2.4 3.8 1.1 versicolor #> 136 5.5 2.4 3.8 1.1 versicolor #> 137 5.5 2.4 3.7 1.0 versicolor #> 138 5.5 2.4 3.7 1.0 versicolor #> 139 5.5 2.4 3.7 1.0 versicolor #> 140 5.8 2.7 3.9 1.2 versicolor #> 141 5.8 2.7 3.9 1.2 versicolor #> 142 5.8 2.7 3.9 1.2 versicolor #> 143 6.0 2.7 5.1 1.6 versicolor #> 144 6.0 2.7 5.1 1.6 versicolor #> 145 6.0 2.7 5.1 1.6 versicolor #> 146 5.4 3.0 4.5 1.5 versicolor #> 147 5.4 3.0 4.5 1.5 versicolor #> 148 6.0 3.4 4.5 1.6 versicolor #> 149 6.0 3.4 4.5 1.6 versicolor #> 150 6.7 3.1 4.7 1.5 versicolor #> 151 6.7 3.1 4.7 1.5 versicolor #> 152 6.3 2.3 4.4 1.3 versicolor #> 153 6.3 2.3 4.4 1.3 versicolor #> 154 6.3 2.3 4.4 1.3 versicolor #> 155 5.6 3.0 4.1 1.3 versicolor #> 156 5.6 3.0 4.1 1.3 versicolor #> 157 5.5 2.5 4.0 1.3 versicolor #> 158 5.5 2.5 4.0 1.3 versicolor #> 159 5.5 2.5 4.0 1.3 versicolor #> 160 5.5 2.6 4.4 1.2 versicolor #> 161 5.5 2.6 4.4 1.2 versicolor #> 162 5.5 2.6 4.4 1.2 versicolor #> 163 6.1 3.0 4.6 1.4 versicolor #> 164 6.1 3.0 4.6 1.4 versicolor #> 165 5.8 2.6 4.0 1.2 versicolor #> 166 5.8 2.6 4.0 1.2 versicolor #> 167 5.8 2.6 4.0 1.2 versicolor #> 168 5.0 2.3 3.3 1.0 versicolor #> 169 5.0 2.3 3.3 1.0 versicolor #> 170 5.6 2.7 4.2 1.3 versicolor #> 171 5.6 2.7 4.2 1.3 versicolor #> 172 5.6 2.7 4.2 1.3 versicolor #> 173 5.7 3.0 4.2 1.2 versicolor #> 174 5.7 3.0 4.2 1.2 versicolor #> 175 5.7 2.9 4.2 1.3 versicolor #> 176 5.7 2.9 4.2 1.3 versicolor #> 177 6.2 2.9 4.3 1.3 versicolor #> 178 6.2 2.9 4.3 1.3 versicolor #> 179 5.1 2.5 3.0 1.1 versicolor #> 180 5.1 2.5 3.0 1.1 versicolor #> 181 5.1 2.5 3.0 1.1 versicolor #> 182 5.7 2.8 4.1 1.3 versicolor #> 183 5.7 2.8 4.1 1.3 versicolor #> 184 5.7 2.8 4.1 1.3 versicolor #> 185 6.3 3.3 6.0 2.5 virginica #> 186 6.3 3.3 6.0 2.5 virginica #> 187 5.8 2.7 5.1 1.9 virginica #> 188 5.8 2.7 5.1 1.9 virginica #> 189 5.8 2.7 5.1 1.9 virginica #> 190 7.1 3.0 5.9 2.1 virginica #> 191 7.1 3.0 5.9 2.1 virginica #> 192 6.3 2.9 5.6 1.8 virginica #> 193 6.3 2.9 5.6 1.8 virginica #> 194 6.5 3.0 5.8 2.2 virginica #> 195 6.5 3.0 5.8 2.2 virginica #> 196 7.6 3.0 6.6 2.1 virginica #> 197 7.6 3.0 6.6 2.1 virginica #> 198 4.9 2.5 4.5 1.7 virginica #> 199 4.9 2.5 4.5 1.7 virginica #> 200 7.3 2.9 6.3 1.8 virginica #> 201 7.3 2.9 6.3 1.8 virginica #> 202 6.7 2.5 5.8 1.8 virginica #> 203 6.7 2.5 5.8 1.8 virginica #> 204 7.2 3.6 6.1 2.5 virginica #> 205 7.2 3.6 6.1 2.5 virginica #> 206 6.5 3.2 5.1 2.0 virginica #> 207 6.5 3.2 5.1 2.0 virginica #> 208 6.4 2.7 5.3 1.9 virginica #> 209 6.4 2.7 5.3 1.9 virginica #> 210 6.8 3.0 5.5 2.1 virginica #> 211 6.8 3.0 5.5 2.1 virginica #> 212 5.7 2.5 5.0 2.0 virginica #> 213 5.7 2.5 5.0 2.0 virginica #> 214 5.7 2.5 5.0 2.0 virginica #> 215 5.8 2.8 5.1 2.4 virginica #> 216 5.8 2.8 5.1 2.4 virginica #> 217 5.8 2.8 5.1 2.4 virginica #> 218 6.4 3.2 5.3 2.3 virginica #> 219 6.4 3.2 5.3 2.3 virginica #> 220 6.5 3.0 5.5 1.8 virginica #> 221 6.5 3.0 5.5 1.8 virginica #> 222 7.7 3.8 6.7 2.2 virginica #> 223 7.7 2.6 6.9 2.3 virginica #> 224 7.7 2.6 6.9 2.3 virginica #> 225 6.0 2.2 5.0 1.5 virginica #> 226 6.0 2.2 5.0 1.5 virginica #> 227 6.0 2.2 5.0 1.5 virginica #> 228 6.9 3.2 5.7 2.3 virginica #> 229 6.9 3.2 5.7 2.3 virginica #> 230 5.6 2.8 4.9 2.0 virginica #> 231 5.6 2.8 4.9 2.0 virginica #> 232 5.6 2.8 4.9 2.0 virginica #> 233 7.7 2.8 6.7 2.0 virginica #> 234 7.7 2.8 6.7 2.0 virginica #> 235 6.3 2.7 4.9 1.8 virginica #> 236 6.3 2.7 4.9 1.8 virginica #> 237 6.7 3.3 5.7 2.1 virginica #> 238 6.7 3.3 5.7 2.1 virginica #> 239 7.2 3.2 6.0 1.8 virginica #> 240 7.2 3.2 6.0 1.8 virginica #> 241 6.2 2.8 4.8 1.8 virginica #> 242 6.2 2.8 4.8 1.8 virginica #> 243 6.1 3.0 4.9 1.8 virginica #> 244 6.1 3.0 4.9 1.8 virginica #> 245 6.4 2.8 5.6 2.1 virginica #> 246 6.4 2.8 5.6 2.1 virginica #> 247 7.2 3.0 5.8 1.6 virginica #> 248 7.2 3.0 5.8 1.6 virginica #> 249 7.4 2.8 6.1 1.9 virginica #> 250 7.4 2.8 6.1 1.9 virginica #> 251 7.9 3.8 6.4 2.0 virginica #> 252 6.4 2.8 5.6 2.2 virginica #> 253 6.4 2.8 5.6 2.2 virginica #> 254 6.3 2.8 5.1 1.5 virginica #> 255 6.3 2.8 5.1 1.5 virginica #> 256 6.1 2.6 5.6 1.4 virginica #> 257 6.1 2.6 5.6 1.4 virginica #> 258 6.1 2.6 5.6 1.4 virginica #> 259 7.7 3.0 6.1 2.3 virginica #> 260 7.7 3.0 6.1 2.3 virginica #> 261 6.3 3.4 5.6 2.4 virginica #> 262 6.3 3.4 5.6 2.4 virginica #> 263 6.4 3.1 5.5 1.8 virginica #> 264 6.4 3.1 5.5 1.8 virginica #> 265 6.0 3.0 4.8 1.8 virginica #> 266 6.0 3.0 4.8 1.8 virginica #> 267 6.9 3.1 5.4 2.1 virginica #> 268 6.9 3.1 5.4 2.1 virginica #> 269 6.7 3.1 5.6 2.4 virginica #> 270 6.7 3.1 5.6 2.4 virginica #> 271 6.9 3.1 5.1 2.3 virginica #> 272 6.9 3.1 5.1 2.3 virginica #> 273 5.8 2.7 5.1 1.9 virginica #> 274 5.8 2.7 5.1 1.9 virginica #> 275 5.8 2.7 5.1 1.9 virginica #> 276 6.8 3.2 5.9 2.3 virginica #> 277 6.8 3.2 5.9 2.3 virginica #> 278 6.7 3.3 5.7 2.5 virginica #> 279 6.7 3.3 5.7 2.5 virginica #> 280 6.7 3.0 5.2 2.3 virginica #> 281 6.7 3.0 5.2 2.3 virginica #> 282 6.3 2.5 5.0 1.9 virginica #> 283 6.3 2.5 5.0 1.9 virginica #> 284 6.3 2.5 5.0 1.9 virginica #> 285 6.5 3.0 5.2 2.0 virginica #> 286 6.5 3.0 5.2 2.0 virginica #> 287 6.2 3.4 5.4 2.3 virginica #> 288 6.2 3.4 5.4 2.3 virginica #> 289 5.9 3.0 5.1 1.8 virginica #> 290 5.9 3.0 5.1 1.8 virginica #> Sepal.Length.y Sepal.Width.y #> 1 6 2 #> 2 7 3 #> 3 6 2 #> 4 6 2 #> 5 6 2 #> 6 6 2 #> 7 6 2 #> 8 7 3 #> 9 6 2 #> 10 6 2 #> 11 5 1 #> 12 6 2 #> 13 6 2 #> 14 6 2 #> 15 7 3 #> 16 6 2 #> 17 6 2 #> 18 6 2 #> 19 7 3 #> 20 7 3 #> 21 6 2 #> 22 7 3 #> 23 6 2 #> 24 7 3 #> 25 6 2 #> 26 7 3 #> 27 6 2 #> 28 7 3 #> 29 6 2 #> 30 6 2 #> 31 7 3 #> 32 6 2 #> 33 5 1 #> 34 6 2 #> 35 7 3 #> 36 6 2 #> 37 6 2 #> 38 7 3 #> 39 6 2 #> 40 7 3 #> 41 6 2 #> 42 6 2 #> 43 6 2 #> 44 7 3 #> 45 7 3 #> 46 6 2 #> 47 6 2 #> 48 6 2 #> 49 7 3 #> 50 6 2 #> 51 6 2 #> 52 6 2 #> 53 7 3 #> 54 6 2 #> 55 5 1 #> 56 6 2 #> 57 6 2 #> 58 6 2 #> 59 6 2 #> 60 6 2 #> 61 6 2 #> 62 7 3 #> 63 6 2 #> 64 6 2 #> 65 7 3 #> 66 6 2 #> 67 7 3 #> 68 6 2 #> 69 7 3 #> 70 5 1 #> 71 6 2 #> 72 7 3 #> 73 6 2 #> 74 7 3 #> 75 5 1 #> 76 6 2 #> 77 7 3 #> 78 6 2 #> 79 7 3 #> 80 5 1 #> 81 6 2 #> 82 6 2 #> 83 7 3 #> 84 5 1 #> 85 6 2 #> 86 7 3 #> 87 5 1 #> 88 6 2 #> 89 6 2 #> 90 7 3 #> 91 5 1 #> 92 6 2 #> 93 7 3 #> 94 6 2 #> 95 7 3 #> 96 5 1 #> 97 6 2 #> 98 7 3 #> 99 6 2 #> 100 7 3 #> 101 6 2 #> 102 7 3 #> 103 5 1 #> 104 6 2 #> 105 7 3 #> 106 5 1 #> 107 6 2 #> 108 7 3 #> 109 5 1 #> 110 6 2 #> 111 7 3 #> 112 6 2 #> 113 7 3 #> 114 6 2 #> 115 7 3 #> 116 5 1 #> 117 6 2 #> 118 7 3 #> 119 6 2 #> 120 7 3 #> 121 6 2 #> 122 7 3 #> 123 6 2 #> 124 7 3 #> 125 6 2 #> 126 7 3 #> 127 6 2 #> 128 7 3 #> 129 6 2 #> 130 7 3 #> 131 5 1 #> 132 6 2 #> 133 7 3 #> 134 5 1 #> 135 6 2 #> 136 7 3 #> 137 5 1 #> 138 6 2 #> 139 7 3 #> 140 5 1 #> 141 6 2 #> 142 7 3 #> 143 5 1 #> 144 6 2 #> 145 7 3 #> 146 6 2 #> 147 7 3 #> 148 6 2 #> 149 7 3 #> 150 6 2 #> 151 7 3 #> 152 5 1 #> 153 6 2 #> 154 7 3 #> 155 6 2 #> 156 7 3 #> 157 5 1 #> 158 6 2 #> 159 7 3 #> 160 5 1 #> 161 6 2 #> 162 7 3 #> 163 6 2 #> 164 7 3 #> 165 5 1 #> 166 6 2 #> 167 7 3 #> 168 5 1 #> 169 6 2 #> 170 5 1 #> 171 6 2 #> 172 7 3 #> 173 6 2 #> 174 7 3 #> 175 6 2 #> 176 7 3 #> 177 6 2 #> 178 7 3 #> 179 5 1 #> 180 6 2 #> 181 7 3 #> 182 5 1 #> 183 6 2 #> 184 7 3 #> 185 6 2 #> 186 7 3 #> 187 5 1 #> 188 6 2 #> 189 7 3 #> 190 6 2 #> 191 7 3 #> 192 6 2 #> 193 7 3 #> 194 6 2 #> 195 7 3 #> 196 6 2 #> 197 7 3 #> 198 5 1 #> 199 6 2 #> 200 6 2 #> 201 7 3 #> 202 6 2 #> 203 7 3 #> 204 6 2 #> 205 7 3 #> 206 6 2 #> 207 7 3 #> 208 6 2 #> 209 7 3 #> 210 6 2 #> 211 7 3 #> 212 5 1 #> 213 6 2 #> 214 7 3 #> 215 5 1 #> 216 6 2 #> 217 7 3 #> 218 6 2 #> 219 7 3 #> 220 6 2 #> 221 7 3 #> 222 7 3 #> 223 6 2 #> 224 7 3 #> 225 5 1 #> 226 6 2 #> 227 7 3 #> 228 6 2 #> 229 7 3 #> 230 5 1 #> 231 6 2 #> 232 7 3 #> 233 6 2 #> 234 7 3 #> 235 6 2 #> 236 7 3 #> 237 6 2 #> 238 7 3 #> 239 6 2 #> 240 7 3 #> 241 6 2 #> 242 7 3 #> 243 6 2 #> 244 7 3 #> 245 6 2 #> 246 7 3 #> 247 6 2 #> 248 7 3 #> 249 6 2 #> 250 7 3 #> 251 7 3 #> 252 6 2 #> 253 7 3 #> 254 6 2 #> 255 7 3 #> 256 5 1 #> 257 6 2 #> 258 7 3 #> 259 6 2 #> 260 7 3 #> 261 6 2 #> 262 7 3 #> 263 6 2 #> 264 7 3 #> 265 6 2 #> 266 7 3 #> 267 6 2 #> 268 7 3 #> 269 6 2 #> 270 7 3 #> 271 6 2 #> 272 7 3 #> 273 5 1 #> 274 6 2 #> 275 7 3 #> 276 6 2 #> 277 7 3 #> 278 6 2 #> 279 7 3 #> 280 6 2 #> 281 7 3 #> 282 5 1 #> 283 6 2 #> 284 7 3 #> 285 6 2 #> 286 7 3 #> 287 6 2 #> 288 7 3 #> 289 6 2 #> 290 7 3