Make a standard league-play tibble

Given a league-play data frame from engsoccer, returns a tibble with standardised column-names and types, e.g. date is a Date.

Usage

uss_make_matches(data_engsoc, country)

Arguments

data_engsoc

obtained from engsoccerdata.

country

character scalar, specifies the league.

Value

a tibble with columns date, season, tier, home, visitor, goals_home, goals_visitor, country.

Examples

uss_make_matches(engsoccerdata::spain, "Spain")
#> # A tibble: 23,915 × 8
#>    country tier  season date       home               visitor    goals…¹ goals…²
#>    <chr>   <fct>  <int> <date>     <chr>              <chr>        <int>   <int>
#>  1 Spain   1       1928 1929-02-10 Arenas de Getxo    Atletico …       2       3
#>  2 Spain   1       1928 1929-02-10 Espanyol Barcelona Real Union       3       2
#>  3 Spain   1       1928 1929-02-10 Real Madrid        CE Europa        5       0
#>  4 Spain   1       1928 1929-02-10 Real Sociedad      Athletic …       1       1
#>  5 Spain   1       1928 1929-02-12 Racing Santander   FC Barcel…       0       2
#>  6 Spain   1       1928 1929-02-17 FC Barcelona       Real Madr…       1       2
#>  7 Spain   1       1928 1929-02-17 Athletic Bilbao    Espanyol …       9       0
#>  8 Spain   1       1928 1929-02-17 Atletico Madrid    Real Soci…       0       3
#>  9 Spain   1       1928 1929-02-17 Real Union         Racing Sa…       3       1
#> 10 Spain   1       1928 1929-02-17 CE Europa          Arenas de…       5       2
#> # … with 23,905 more rows, and abbreviated variable names ¹​goals_home,
#> #   ²​goals_visitor
#> # ℹ Use `print(n = ...)` to see more rows