measure_meta_reliability: Evaluate the Discrimination and Stability for Given Metrics
In ryurko/nflWAR: Computes WAR for Offensive Players in the NFL

Description Usage Arguments Value Examples

Evaluate the Discrimination and Stability for Given Metrics

1 2	measure_meta_reliability(boot_seasons, stat_seasons, player_col, season_col, attempt_col, min_attempts, stat_cols)

`boot_seasons`	Data frame of bootstrapped statistics with the provided player_col, season_col, and stat_cols.
`stat_seasons`	Data frame of statistics with the provided player_col, season_col, and stat_cols.
`player_col`	String indicating the name of the column in the data sets standing for the player name.
`season_col`	String indicating the name of the column in the data sets standing for the season.
`attempt_col`	String indicating the name of the column to filter the data on.
`min_attempts`	Number of minimum of the attempt_col that a player must have to be included.
`stat_cols`	String vector of the statistics for which the discrimination and stability will be calculated for.

Data frame with three columns (1) Statistic - which is the name of one of the stats, (2) Discrimination - the average discrimination of the Statistic over all provided seasons, (3) Stability - the stability for the Statistic over all the provided seasons.

# Calculate the discrimination and stability for QB stats:
qb_reliability <-
measure_meta_reliability(qb_boot_seasons,qb_seasons,
"Player_ID_Name", "Season", "Total_Plays", 100,
c("total_WAR", "Comp_Perc", "Success_Rate"))