Description Usage Arguments Details Value Note Author(s) References See Also Examples
View source: R/batsmanRunsPredict.R
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
1 | batsmanRunsPredict(file, name="A Coverdrive", newdataframe)
|
file |
This is the <batsman>.csv file obtained with an initial getPlayerData() |
name |
Name of the batsman |
newdataframe |
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 <tvganesh.85@gmail.com>
Tinniam V Ganesh
https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/
batsmanMovingAverage
battingPerf3d
batsmanContributionWonLost
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 | ## Not run:
# 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,...)
## End(Not run)
|
Balls Faced Minutes Runs
1 30 20 11.17764
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