Generate linear weight values for events using Baseball Savant data

This function allows a user to generate linear weight values for events using Baseball Savant data. Output includes both linear weights above average and linear weights above outs for home runs, triples, doubles, singles, walks, hit by pitches, and outs.

Usage

linear_weights_savant(df, level = "plate appearance")

Arguments

df

A data frame generated from Baseball Savant that has been run through the run_expectancy_code() function.

level

Whether to calculate linear weights the plate appearance or pitch level. Defaults to 'plate appearance'.

Value

Returns a tibble with the following columns:

col_name	types	description
events	character	Event type (e.g. home_run, triple, double, single, walk, hit_by_pitch, outs).
linear_weights_above_average	numeric	Average change in run expectancy (RE24) for the event, i.e. linear weight above average.
linear_weights_above_outs	numeric	Linear weight expressed above the value of an out (above-average value plus the absolute out value).

Examples

# \donttest{
 try({
   df <- statcast_search(start_date = "2016-04-06", end_date = "2016-04-15", 
                         playerid = 621043, player_type = 'batter') 
   df <- run_expectancy_code(df, level = "plate appearances")
   linear_weights_savant(df, level = "plate appearance")
 })
#> # A tibble: 5 × 3
#>   events   linear_weights_above_average linear_weights_above_outs
#>   <chr>                           <dbl>                     <dbl>
#> 1 home_run                         1                         1   
#> 2 double                           0.5                       0.5 
#> 3 single                           0.17                      0.17
#> 4 walk                             0                         0   
#> 5 outs                             0                         0   
# }