Extracts the fitted values.

# S3 method for RW
fitted(object, ...)

Arguments

object

The time series model used to produce the forecasts

...

Additional arguments for forecast model methods.

Value

A vector of fitted values.

Examples

as_tsibble(Nile) %>% model(NAIVE(value)) %>% fitted()
#> # A tsibble: 100 x 3 [1Y] #> # Key: .model [1] #> .model index .fitted #> <chr> <dbl> <dbl> #> 1 NAIVE(value) 1871 NA #> 2 NAIVE(value) 1872 1120 #> 3 NAIVE(value) 1873 1160 #> 4 NAIVE(value) 1874 963 #> 5 NAIVE(value) 1875 1210 #> 6 NAIVE(value) 1876 1160 #> 7 NAIVE(value) 1877 1160 #> 8 NAIVE(value) 1878 813 #> 9 NAIVE(value) 1879 1230 #> 10 NAIVE(value) 1880 1370 #> # … with 90 more rows
library(tsibbledata) aus_production %>% model(snaive = SNAIVE(Beer ~ lag("year"))) %>% fitted()
#> # A tsibble: 218 x 3 [1Q] #> # Key: .model [1] #> .model Quarter .fitted #> <chr> <qtr> <dbl> #> 1 snaive 1956 Q1 NA #> 2 snaive 1956 Q2 NA #> 3 snaive 1956 Q3 NA #> 4 snaive 1956 Q4 NA #> 5 snaive 1957 Q1 284 #> 6 snaive 1957 Q2 213 #> 7 snaive 1957 Q3 227 #> 8 snaive 1957 Q4 308 #> 9 snaive 1958 Q1 262 #> 10 snaive 1958 Q2 228 #> # … with 208 more rows