AdvancedBasketballStats (version 1.0.1)

individuals_data_adjustment: Individual stat adjuster

Description

The function transform the statistics entered for later use in the rest of the functions that apply to individuals statistics.

Usage

individuals_data_adjustment(df1)

Arguments

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.

Value

Data.frame with the transformed statistics for use in the rest of the functions.

The data frame obtained for the individual's statistics will have the following format:

• Name of the player (Name)

• Games played (G)

• Games Started (GS)

• Minutes Played (MP)

• Field Goals Made (FG)

• Field Goals Attempted (FGA)

• Field Goals Percentage (FG%)

• Three Points Made (3P)

• Three Points Attempted (3PA)

• Three Points Percentage (3P

• Two Points Made (2P)

• Two Points Attempted (2PA)

• Two Points Percentage (2P%)

• Free Throw Made (FT)

• Free Throw Attempted (FTA)

• Free Throw Percentage (FT%)

• Offensive Rebounds (ORB)

• Defensive Rebounds (DRB)

• Total Rebounds (TRB)

• Assists (AST)

• Steals (STL)

• Blocks (BLK)

• Turnover (TOV)

• Personal Fouls (PF)

• Points (PTS)

• Plus Minus (+/-)

The data frame obtained for the defensive individual's statistics will have the following format:

• Name of the player (Name)

• Minutes Played (MP)

• Defensive Rebounds (DRB)

• FGA by opposing team (FM)

• Blocks (BLK)

• (TOTAL FM)

• Forced turnover(FTO)

• Steals (STL)

• Total forced turnover (TOTAL FTO)

• FTA by opposing team (FFTA)

• FG made by opposing team (DFGM)

• FT made by opposing team (DFTM)

Details

• The data.frame must have the same columns and these represent the same as in the example.

• The input data.frame must have the last row that represents the team's statistics.

• The function allows the transformation of the individual's statistics to which the shooting percentages and the number of total rebounds are added.

• The function allows the transformation of the defensive statistics to which the force missed shot and the forced turnovers.

Examples

# NOT RUN {
df1 <- data.frame("Name" = c("James","Team"), "G" = c(67,0), "GS" = c(62,0),
"MP" = c(2316,1), "FG" = c(643,0), "FGA" = c(1303,0),"3P  " = c(148,0),
"3PA" = c(425,0),"2P" = c(495,0), "2PA" = c(878,0),  "FT" = c(264,0),
"FTA" = c(381,0),"ORB" = c(66,0),  "DRB" = c(459,0), "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))

individuals_data_adjustment(df1)

df2 <- data.frame("Name" = c("Witherspoon ","Team"), "MP" = c(14,200),
"DREB" = c(1,0),"FM" = c(4,0), "BLK" = c(0,0),"FTO" = c(0,0),
"STL" = c(1,1), "FFTA" = c(0,0),  "DFGM" = c(1,0), "DFTM" = c(0,0))

individuals_data_adjustment(df2)

# }