Fit a linear regression plane between Runs scored and Minutes in Crease and Balls Faced. This will be used to predict the batsman runs for time in crease and balls faced
This is the <batsman>.csv file obtained with an initial getPlayerData()
Name of the batsman
This is a data frame with 2 columns BF(Balls Faced) and Mins(Minutes)
More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI
Returns a data frame with the predicted runs for the Balls Faced and Minutes at crease
Maintainer: Tinniam V Ganesh <[email protected]>
Tinniam V Ganesh
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# Get or use the <batsman>.csv obtained with getPlayerData() # tendulkar <- getPlayerData(35320,file="tendulkar.csv",type="batting", # homeOrAway=c(1,2), result=c(1,2,4)) # Use a single value for BF and Mins BF <- 30 Mins <- 20 # retrieve the file path of a data file installed with cricketr pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr") batsmanRunsPredict(pathToFile,"Sachin Tendulkar",newdataframe=data.frame(BF,Mins)) #or give a data frame #BF <- seq(20,200, length=15) #Mins <- seq(30,220,length=15) #values <- batsmanRunsPredict("../cricketr/data/tendulkar.csv","Sachin Tendulkar", #newdataframe=data.frame(BF,Runs) #print(values) # Note: The above example uses the file tendulkar.csv from the /data directory. However # you can use any directory as long as the data file exists in that directory. # The general format is pkg-function(pathToFile,par1,...)
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