vwp_extract_relevant_features: Extract relevant features for a Volleyball Win Probability...

In dpwynne/volleyWP: Volleyball Win Probabilities

Description

Subsets a data frame to include only features of interest and remove any duplicate rows (usually games that got added twice)

Usage

vwp_extract_relevant_features(
  plays,
  features = c("team", "opponent", "match_id", "point_id", "video_time", "player_name",
    "player_number", "skill", "skill_type", "evaluation_code", "evaluation",
    "attack_code", "set_code", "start_zone", "end_zone", "end_subzone", "skill_subtype",
    "num_players", "home_p2", "home_p3", "home_p4", "visiting_p2", "visiting_p3",
    "visiting_p4", "home_team", "visiting_team", "point_won_by", "serving_team", "phase")
)

Arguments

plays

a dv_plays object or data frame containing play-by-play data.

features

a character vector containing the names of the variables to be included. If you don't know which ones you want to keep in, use the default. This should work even if your plays object does not contain some of these columns. If you include too few features, you may accidentally delete rows corresponding to different touches. Also, you may not be able to run the full model later as this function is designed for pre-processing.

Value

The same data frame, with duplicate rows and extraneous columns removed

dpwynne/volleyWP documentation built on Dec. 20, 2021, 1:13 a.m.