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, ...)A mable containing a single model column.
A dataset with the same structure as the data used to fit the model.
Other arguments passed to interpolate methods.
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
#> # A tsibble: 312 x 4 [4Y]
#> # Key: Length, Sex [14]
#> Year Length Sex Time
#> <int> <int> <chr> <dbl>
#> 1 1896 100 men 12
#> 2 1900 100 men 11
#> 3 1904 100 men 11
#> 4 1908 100 men 10.8
#> 5 1912 100 men 10.8
#> 6 1916 100 men NA
#> 7 1920 100 men 10.8
#> 8 1924 100 men 10.6
#> 9 1928 100 men 10.8
#> 10 1932 100 men 10.3
#> # ℹ 302 more rows
olympic_running %>%
model(TSLM(Time ~ trend())) %>%
interpolate(olympic_running)
#> # 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
#> # ℹ 302 more rows