Interpolate missing values

Uses a fitted model to interpolate missing values from a dataset.

# S3 method for mdl_df
interpolate(object, new_data, ...)

# S3 method for mdl_ts
interpolate(object, new_data, ...)

Arguments

object	A mable containing a single model column.
new_data	A dataset with the same structure as the data used to fit the model.
...	Other arguments passed to interpolate methods.

Examples

if (requireNamespace("fable", quietly = TRUE)) {
library(fable)
library(tsibbledata)

# The fastest running times for the olympics are missing for years during 
# world wars as the olympics were not held.
olympic_running

olympic_running %>%
  model(TSLM(Time ~ trend())) %>%
  interpolate(olympic_running)
}
#> New names:
#> * interpolated1 -> interpolated1...1
#> * interpolated2 -> interpolated2...2
#> * interpolated3 -> interpolated3...3
#> * interpolated4 -> interpolated4...4
#> * interpolated5 -> interpolated5...5
#> * ...
#> # A tsibble: 312 x 4 [4Y]
#> # Key:       Length, Sex [14]
#>    Length Sex    Year  Time
#>     <int> <chr> <int> <dbl>
#>  1    100 men    1896  12  
#>  2    100 men    1900  11  
#>  3    100 men    1904  11  
#>  4    100 men    1908  10.8
#>  5    100 men    1912  10.8
#>  6    100 men    1916  10.8
#>  7    100 men    1920  10.8
#>  8    100 men    1924  10.6
#>  9    100 men    1928  10.8
#> 10    100 men    1932  10.3
#> # … with 302 more rows