filter_per_player: Generate filters for a 'per player' data query.
In stephematician/statsnbaR: R interface to stats.nba.com

Description Usage Arguments Details Value See Also

Creates a list of key-value pairs from the supplied arguments for use in per_player_agg, and inserts default values for any filters not specified in the arguments.

1	filter_per_player(...)

...

List of key-value pairs to use as filters in a query to the per-player data endpoint of stats.nba.com. The recognised filters are described here with their default values indicated in brackets:

college: character - full name of college of player (all)
conference: character - conference of player: 'both', 'west', 'east' ('both')
country: character - nationality of players (all)
date_from: date - include games from this date: (null)
date_to: date - include games until this date: (null)
division: character - division of players: 'all', 'atlantic', 'central', 'north_west', 'pacific', 'south_east', 'south_west' ('all')
draft_pick: character - draft status of players: 'all', 'first_round', 'second_round', 'first_pick', 'lottery' ('all')
draft_year: integer - year players were drafted: (null)
experience: character - experience level of players: 'all', 'rookie', 'sophomore', 'veteran' ('all')
game_segment: character - segment of game included: 'full_game', 'first_half', 'second_half', 'overtime' ('full_game')
height_segment: character - filter player heights, 'lt_six' means < six feet tall, while gte_six means >= six feet tall : 'all', 'lt_six', 'gte_six', 'lt_six_four', 'gte_six_four', 'lt_six_seven', 'gte_six_seven', 'lt_six_ten', 'gte_six_ten', 'lt_seven', 'gte_seven' ('all')
last_n: integer - number of last games to include up to 15 (null)
league: character - league of players: 'NBA', 'D-league' ('NBA')
location: character - select home or away games: 'both', 'home', 'away', ('all')
month: character - three letter abbrevation of month of games to include: ('all')
opponent_conference
opponent_division
opponent_team: integer - team_id of game opponent: (null)
playoff_round: integer - playoff round to include, 0 is for regular season games, 1 is for the first round, 4 is the NBA finals (0)
pace_adjust: logical - pace adjustment? (FALSE)
per: character - units of return values: 'total', 'game', 'possessions_100', 'plays_100', 'possession', 'play', 'minute', 'minutes_48', 'minutes_40', 'minutes_36', 'inverse_minutes' ('total')
period: integer - quarter to include 0 is all, or 1–4 for individual quarters
position: character - position of players: 'all', 'center', 'forward', 'guard' ('all')
plus_minus: logical - differential to overall values? (FALSE)
rank: logical - rank results? (FALSE)
season: numeric - integer year of season to retrieve, e.g. 2014 for the 2014-15 season
season_segment: character - games to include by season segment: 'all', 'pre_allstar', 'post_allstar' ('all')
season_type: character - games to include by season type: 'allstar', 'playoff', 'regular', 'preseason' ('regular')
shot_clock: character - shot clock values of plays to include, segmented into all values, then 24–22, 22–18, 18–15, 15–7, 4–7 and 4–0 seconds and Off: 'all', 'super_early', 'very_early', 'early', 'average', 'late', 'very_late', 'off' ('all')
starting_status: character - starting status of player in games: 'all', 'bench', 'starter' ('all')
team_id: integer - id of team to include (0)
weight_segment: character - filter players weights 'lt_200' means < 200 lbs while 'gte200' means >= 200lbs : 'all', 'lt_200', 'gte_200', 'lt_225', 'gte_225', 'lt_250', 'gte_250', 'lt_275', 'gte_275', 'lt_300', 'gte_300' ('all')
win_loss: character - win or loss filter: 'all', 'win', 'loss' ('all')

Returns a named list of key-value pairs which are given either by the arguments to the function, or by default values specified by statnbaR internal YAML data. Ensures that all the filters specified have been assigned a value.

A list of key-value pairs for passing to the per-player data query function per_player_agg with argument clutch=FALSE.

per_player_agg

stephematician/statsnbaR documentation built on May 30, 2019, 3:17 p.m.