Index variables, iterations, chains, and draws.
variables(x, ...)
variables(x) <- value
iteration_ids(x)
chain_ids(x)
draw_ids(x)
nvariables(x, ...)
niterations(x)
nchains(x)
ndraws(x)(draws) A draws object or another R object for which the method
is defined.
Arguments passed to individual methods (if applicable).
(character vector) For variables(x) <- value, the new variable
names to use.
For variables(), a character vector.
For iteration_ids(), chain_ids(), and draw_ids(), an integer vector.
For niterations(), nchains(), and ndraws(), a scalar integer.
The methods variables(), iteration_ids(), chain_ids(), and draw_ids() return
vectors of all variables, iterations, chains, and draws, respectively. In
contrast, the methods nvariables(), niterations(), nchains(), and
ndraws() return the number of variables, iterations, chains, and draws,
respectively.
variables(x) <- value allows you to modify the vector of variable names,
similar to how names(x) <- value works for vectors and lists. For renaming
specific variables, set_variables() works equivalently, but is more intuitive when using the pipe operator. rename_variables() may offer a more convenient approach.
x <- example_draws()
variables(x)
#> [1] "mu" "tau" "theta[1]" "theta[2]" "theta[3]" "theta[4]"
#> [7] "theta[5]" "theta[6]" "theta[7]" "theta[8]"
nvariables(x)
#> [1] 10
variables(x) <- letters[1:nvariables(x)]
iteration_ids(x)
#> [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
#> [19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
#> [37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
#> [55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
#> [73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
#> [91] 91 92 93 94 95 96 97 98 99 100
niterations(x)
#> [1] 100
chain_ids(x)
#> [1] 1 2 3 4
nchains(x)
#> [1] 4
draw_ids(x)
#> [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
#> [19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
#> [37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
#> [55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
#> [73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
#> [91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
#> [109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
#> [127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
#> [145] 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162
#> [163] 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
#> [181] 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198
#> [199] 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216
#> [217] 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234
#> [235] 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252
#> [253] 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270
#> [271] 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288
#> [289] 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306
#> [307] 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324
#> [325] 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342
#> [343] 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360
#> [361] 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378
#> [379] 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396
#> [397] 397 398 399 400
ndraws(x)
#> [1] 400