Stable lifecycle

# S3 method for tbl_ts
as.ts(x, value, frequency = NULL, fill = NA_real_,
  ...)

Arguments

x

A tbl_ts object.

value

A measured variable of interest to be spread over columns, if multiple measures.

frequency

A smart frequency with the default NULL. If set, the preferred frequency is passed to ts().

fill

A value to replace missing values.

...

Ignored for the function.

Value

A ts object.

Examples

# a monthly series x1 <- as_tsibble(AirPassengers) as.ts(x1)
#> Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec #> 1949 112 118 132 129 121 135 148 148 136 119 104 118 #> 1950 115 126 141 135 125 149 170 170 158 133 114 140 #> 1951 145 150 178 163 172 178 199 199 184 162 146 166 #> 1952 171 180 193 181 183 218 230 242 209 191 172 194 #> 1953 196 196 236 235 229 243 264 272 237 211 180 201 #> 1954 204 188 235 227 234 264 302 293 259 229 203 229 #> 1955 242 233 267 269 270 315 364 347 312 274 237 278 #> 1956 284 277 317 313 318 374 413 405 355 306 271 306 #> 1957 315 301 356 348 355 422 465 467 404 347 305 336 #> 1958 340 318 362 348 363 435 491 505 404 359 310 337 #> 1959 360 342 406 396 420 472 548 559 463 407 362 405 #> 1960 417 391 419 461 472 535 622 606 508 461 390 432
# equally spaced over trading days, not smart enough to guess frequency x2 <- as_tsibble(EuStockMarkets) head(as.ts(x2, frequency = 260))
#> CAC DAX FTSE SMI #> [1,] 1772.8 1628.75 2443.6 1678.1 #> [2,] 1750.5 1613.63 2460.2 1688.5 #> [3,] 1718.0 1606.51 2448.2 1678.6 #> [4,] 1708.1 1621.04 2470.4 1684.1 #> [5,] 1723.1 1618.16 2484.7 1686.6 #> [6,] 1714.3 1610.61 2466.8 1671.6