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{
try({
df <- bref_daily_batter("2015-08-01", "2015-10-03")
woba_plus(df)
})
#> ── MLB Daily Batter data from baseball-reference.com ───────────────────
#> ℹ Data updated: 2024-04-13 21:57:49 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 pindebr… 2015 Bran… 26 Maj-… New … 1 1 1 0 1
#> 2 severpe… 2015 Pedr… 21 Maj-… Wash… 1 1 1 1 1
#> 3 bandyje… 2015 Jett… 25 Maj-… Los … 2 2 2 1 1
#> 4 norrida… 2015 Dani… 22 Maj-… Detr… 1 3 2 1 1
#> 5 hesslke… 2015 Keit… 26 Maj-… Ariz… 1 1 1 0 1
#> 6 noelri02 2015 Rico… 26 Maj-… New … 13 1 1 5 1
#> 7 torreca… 2015 Carl… 32 Maj-… New … 1 1 1 1 1
#> 8 garcija… 2015 Jaso… 22 Maj-… Balt… 1 1 0 0 0
#> 9 gallayo… 2015 Yova… 29 Maj-… Texas 1 2 2 0 1
#> 10 panikjo… 2015 Joe … 24 Maj-… San … 4 14 12 5 5
#> # ℹ 754 more rows
#> # ℹ 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>
# }