play_stats_per_possesion: Play stats per possesion
In AdvancedBasketballStats: Advanced Basketball Statistics

Description Usage Arguments Details Value Author(s) Examples

View source: R/play_stats_per_possesion.R

The function allows the calculation of the statistics per game projected to P possesions.

1	play_stats_per_possesion(df1, df2, df3, p, m)

`df1`	Should be a Data Frame that represents the play's statistics. The parameter has to be in the format provided by the play_data_adjustment() function.
`df2`	Should be a Data Frame that represents the team's statistics. The parameter has to be in the format provided by the team_stats() function.
`df3`	Should be a Data Frame that represents the rival's statistics. The parameter has to be in the format provided by the team_stats() function.
`p`	Should be a number. This parameter has to be the number of possessions to which you want to project the statistics.
`m`	should be a number. This parameter has to be the duration of a single game.

The statistical projection is made from the estimation of the possessions that the team plays when the player is on the court.

Data frame with statistics by game projected to the possesions entered

Fco Javier Cantero fco.cantero@edu.uah.es

Juan José Cuadrado jjcg@uah.es

Universidad de Alcalá de Henares

df1 <- data.frame("Name" = c("Sabonis ","Team"), "GP" = c(62,71),
"PTS" = c(387,0), "FG" = c(155,1), "FGA" = c(281,1),
"FGA Percentage" = c(0.552,1),"3P" = c(6,1),"3PA" = c(18,1),
"3P Percentage" = c(0.333,1),"2P" = c(149,0),"2PA" = c(263,0),
"2P Percentage" = c(0.567,0),"FT" = c(39,1),  "FTA" = c(53,1),
"FT Percentage" = c(0.736,1),  "ANDONE" = c(12,1), "AST" = c(0,1),
"TOV" = c(27,1))

df2 <- data.frame("G" = c(71), "MP" = c(17090), "FG" = c(3006),
"FGA" = c(6269),"Percentage FG" = c(0.48), "3P" = c(782),
"3PA" = c(2242), "Percentage 3P" = c(0.349),  "2P" = c(2224),
"2PA" = c(4027), "Percentage 2P" = c(0.552), "FT" = c(1260),
"FTA FG" = c(1728),  "Percentage FT" = c(0.729), "ORB" = c(757),
"DRB" = c(2490),"TRB" = c(3247),"AST" = c(1803),"STL" = c(612),
"BLK" = c(468),   "TOV" = c(1077),  "PF" = c(1471),
"PTS" = c(8054),  "+/-" = c(0))

df3 <- data.frame("G" = c(71), "MP" = c(17090), "FG" = c(2773),
"FGA" = c(6187),"Percentage FG" = c(0.448), "3P" = c(827),
"3PA" = c(2373), "Percentage 3P" = c(0.349),  "2P" = c(1946),
"2PA" = c(3814), "Percentage 2P" = c(0.510), "FT" = c(1270),
"FTA FG" = c(1626),  "Percentage FT" = c(0.781), "ORB" = c(668),
"DRB" = c(2333),"TRB" = c(3001),  "AST" = c(1662),"STL" = c(585),
"BLK" = c(263),   "TOV" = c(1130),  "PF" = c(1544),
"PTS" = c(7643),  "+/-" = c(0))

p<- 100

m <- 48

play_stats_per_possesion(df1,df2,df3,p,m)