This function allows you to calculate wOBA for any given set of data, provided the right variables are in the data set. The function currently returns both wOBA per plate appearance on wOBA per instance of fair contact.
Arguments
- df
A data frame of statistics that includes, at a minimum, the following columns: uBB (unintentional walks), HBP (Hit By Pitch), X1B (singles), X2B (doubles), X3B (triples), HR (home runs), AB (at-bats), SH (sacrifice hits), SO (strike outs), and season.
Value
Returns a tibble with the wOBA factors calculated and the following columns:
| col_name | types |
| bbref_id | character |
| season | integer |
| Name | character |
| Age | numeric |
| Level | character |
| Team | character |
| G | numeric |
| PA | numeric |
| AB | numeric |
| R | numeric |
| H | numeric |
| X1B | numeric |
| X2B | numeric |
| X3B | numeric |
| HR | numeric |
| RBI | numeric |
| BB | numeric |
| IBB | numeric |
| uBB | numeric |
| SO | numeric |
| HBP | numeric |
| SH | numeric |
| SF | numeric |
| GDP | numeric |
| SB | numeric |
| CS | numeric |
| BA | numeric |
| OBP | numeric |
| SLG | numeric |
| OPS | numeric |
| wOBA | numeric |
| wOBA_CON | numeric |
Examples
# \donttest{
df <- bref_daily_batter("2015-08-01", "2015-10-03")
try(woba_plus(df))
#> ── MLB Daily Batter data from baseball-reference.com ───────────────────
#> ℹ Data updated: 2022-04-30 07:17:43 UTC
#> # A tibble: 764 × 32
#> bbref_id season Name Age Level Team G PA AB R H
#> <chr> <int> <chr> <dbl> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 400284 2015 Bran… 26 Maj-… New … 1 1 1 0 1
#> 2 472528 2015 Pedr… 21 Maj-… Wash… 1 1 1 1 1
#> 3 572182 2015 Jett… 25 Maj-… Los … 2 2 2 1 1
#> 4 452234 2015 Dani… 22 Maj-… Detr… 1 3 2 1 1
#> 5 502143 2015 Keit… 26 Maj-… Ariz… 1 1 1 0 1
#> 6 475100 2015 Rico… 26 Maj-… New … 13 1 1 5 1
#> 7 573627 2015 Carl… 32 Maj-… New … 1 1 1 1 1
#> 8 475582 2015 Jaso… 22 Maj-… Balt… 1 1 0 0 0
#> 9 596119 2015 Yova… 29 Maj-… Texas 1 2 2 0 1
#> 10 570256 2015 Joe … 24 Maj-… San … 4 14 12 5 5
#> # … with 754 more rows, and 21 more variables: X1B <dbl>, X2B <dbl>,
#> # X3B <dbl>, HR <dbl>, RBI <dbl>, BB <dbl>, IBB <dbl>, uBB <dbl>,
#> # SO <dbl>, HBP <dbl>, SH <dbl>, SF <dbl>, GDP <dbl>, SB <dbl>,
#> # CS <dbl>, BA <dbl>, OBP <dbl>, SLG <dbl>, OPS <dbl>, wOBA <dbl>,
#> # wOBA_CON <dbl>
# }