per_player_agg: Retrieve 'per player' aggregated data
In stephematician/statsnbaR: R interface to stats.nba.com

Description Usage Arguments Details Value See Also Examples

Retrieve the aggregated data for each player from stats.nba.com

1 2	per_player_agg(filters = filter_per_player(), clutch = FALSE, measurement = "base", method = NULL, ...)

`filters`	A named list of key-value filters constructed by either `filter_per_player` if `clutch=FALSE` or `filter_per_player_clutch` if `clutch=TRUE`. Full list of avaiable filters that statsnbaR recognises is given in the documentation of those two filter constructor functions.
`clutch`	A logical value indicating whether to extract the ‘clutch’ data, i.e. to only include plays that occurred during ‘clutch’ time in the aggregation.
`measurement`	A character string representing the desired dataset base The traditional player statistics such as field goals, rebounds, assists etc. advanced The advanced player statistics such as offensive and defensive ratings, effective field goal others. miscellaneous Miscellaneous player statistics such as points in the paint, fastbreak points, opponent points in the paint, blocks, fouls, etc. scoring Scoring player statistics such as the percentage of points off turnovers, in the paint, points that were assisted on etc. by that player. usage Usage statistics which are roughly the traditional statistics but measured as the players percentage contribution of the teams values while they are on court.
`method`	Optional user-supplied function to retrieve JSON from stats.nba.com

Collects player 'play' statistics as averages or other aggregates over games in different units such as total values, per game values, per possession values and so forth.

The statistics are grouped into various categories which are determined by the value of the measurement argument. The categories are ‘base’, ‘advanced’, ‘miscellaneous’, ‘scoring’ and ‘usage’.

The query filters are constructed by either filter_per_player if clutch=FALSE or filter_per_player_clutch if clutch=TRUE. The list of potential filters are documented in those functions. The units that the values/data is aggregated into is determined by the per filter. The value of clutch argument is used to to plays that occured during clutch time.

A data.frame containing the aggregated player data retrieved with columns converted to the data types specified by statsnbaR's internal YAML.

person_id: integer - ID of the player, used in many other datasets
player_name: character - the player's first and last name
team_id: integer - the team_id of the team the player plays for according to the season selected (see filter_bio)
team_abbr: character - abbreviated team name
age: integer - age of player in the season selected
games: numeric - games played within the selected filters
wins: numeric - wins in the player's games within the selected filters
wins: numeric - losses in the player's games within the selected filters
mins: numeric - minutes player was on court in game

All other returned columns are described in the glossary provided at http://stats.nba.com/help/glossary.

filter_per_player filter_per_player_clutch http://stats.nba.com/help/glossary

## Not run: 
  # Get data to compare clutch vs regular performance.
  ppd <- per_player_agg(filter_per_player(season=2014))
  ppdc <- per_player_agg(filter_per_player_clutch(season=2014))

## End(Not run)