clean_homeaway: Clean Home/Away in dataframes into Team/Opponent dataframes

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Clean Home/Away in dataframes into Team/Opponent dataframes

Description

This function converts dataframes with "home_" and "away_" prefixed columns to "team_" and "opponent_", and doubles the rows. This makes sure that there's one row for each team (as opposed to one row for each game).

Usage

clean_homeaway(dataframe, invert = NULL)

Arguments

dataframe	dataframe
invert	a character vector of columns that gets inverted when referring to the away team (e.g. home spread = 1 gets converted to away_spread = -1)

Value

a dataframe with one row per team (twice as long as the input dataframe)

Examples

# a small example dataframe
s <- data.frame(
   game_id = c("2020_20_TB_GB", "2020_20_BUF_KC", "2020_21_KC_TB"),
   game_type = c("CON", "CON", "SB"),
   away_team = c("TB", "BUF", "KC"),
   away_score = c(31L, 24L, 9L),
   home_team = c("GB", "KC", "TB"),
   home_score = c(26L, 38L, 31L),
   location = c("Home", "Home", "Neutral"),
   result = c(-5L, 14L, 22L),
   spread_line = c(3, 3, -3)
 )

clean_homeaway(s, invert = c("result","spread_line"))

nflreadr documentation built on Sept. 8, 2023, 5:57 p.m.