TeamsHalf table

Split season data for teams

Usage

data(TeamsHalf)

Format

A data frame with 52 observations on the following 10 variables.

yearID

Year

lgID

League; a factor with levels AL NL

teamID

Team; a factor

Half

First or second half of season

divID

Division

DivWin

Won Division (Y or N)

Rank

Team's position in standings for the half

G

Games played

W

Wins

L

Losses

Source

Lahman, S. (2024) Lahman's Baseball Database, 1871-2023, 2024 version, http://www.seanlahman.com/

Examples

# 1981 season team data split into half seasons
data(TeamsHalf)
library("dplyr")

# List standings with winning percentages by
# season half, league and division
TeamsHalf %>%
   group_by(Half, lgID, divID) %>%
   mutate(WinPct = round(W/G, 3)) %>%
   arrange(Half, lgID, divID, Rank) %>%
   select(Half, lgID, divID, Rank, teamID, WinPct)
#> # A tibble: 52 × 6
#> # Groups:   Half, lgID, divID [8]
#>     Half lgID  divID  Rank teamID WinPct
#>    <int> <fct> <chr> <int> <fct>   <dbl>
#>  1     1 AL    E         1 NYA     0.607
#>  2     1 AL    E         2 BAL     0.574
#>  3     1 AL    E         3 ML4     0.554
#>  4     1 AL    E         4 DET     0.544
#>  5     1 AL    E         5 BOS     0.536
#>  6     1 AL    E         6 CLE     0.52 
#>  7     1 AL    E         7 TOR     0.276
#>  8     1 AL    W         1 OAK     0.617
#>  9     1 AL    W         2 TEX     0.6  
#> 10     1 AL    W         3 CHA     0.585
#> # ℹ 42 more rows