Description Usage Arguments Details Value Author(s) Examples
View source: R/individuals_stats_per_possesion.R
The function allows the calculation of the statistics per game projected to P possesions.
1 | individuals_stats_per_possesion(df1, df2, df3, p, m)
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df1 |
Should be a Data Frame that represents the individual statistics of the players. The parameter has to be in the format provided by the 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 possessions entered
Fco Javier Cantero fco.cantero@edu.uah.es
Juan José Cuadrado jjcg@uah.es
Universidad de Alcalá de Henares
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | df1 <- data.frame("name" = c("LeBron James","Team"),"G" = c(67,0),
"GS" = c(62,0),"MP" = c(2316,0),"FG" = c(643,0), "FGA" = c(1303,0),
"Percentage FG" = c(0.493,0),"3P" = c(148,0),"3PA" = c(425,0),
"Percentage 3P" = c(0.348,0),"2P" = c(495,0),"2PA" = c(878,0),
"Percentage 2P" = c(0.564,0),"FT" = c(264,0),"FTA FG" = c(381,0),
"Percentage FT" = c(0.693,0), "ORB" = c(66,0),"DRB" = c(459,0),
"TRB" = c(525,0),"AST" = c(684,0),"STL" = c(78,0),"BLK" = c(36,0),
"TOV" = c(261,0),"PF" = c(118,0),"PTS" = c(1698,0),"+/-" = c(0,0))
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
individuals_stats_per_possesion(df1,df2,df3,p,m)
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