batsmanRunsLikelihood {cricketr}

This function uses K-Means to determine the likelihood of the batsman to get runs

Description

This function used K-Means to get the likelihood of getting runs based on clusters of runs the batsman made in the past.It uses K-Means for this.

Usage

batsmanRunsLikelihood(file, name = "A Squarecut")

Arguments

file

This is the <batsman>.csv file obtained with an initial getPlayerData()

name

Name of the batsman

Details

More details can be found in my short video tutorial in Youtube https://www.youtube.com/watch?v=q9uMPFVsXsI

Value

None

Note

Maintainer: Tinniam V Ganesh <[e-mail]>

Author(s)

Tinniam V Ganesh

References

https://www.espncricinfo.com/ci/content/stats/index.html
https://gigadom.in/

See Also

batsmanMovingAverage batsmanRunsPredict battingPerf3d batsmanContributionWonLost

Examples

## Not run: 
# Get or use the <batsman>.csv obtained with getPlayerData()
#  <- getPlayerData(35320,file="tendulkar.csv",type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
pathToFile <- system.file("data", "tendulkar.csv", package = "cricketr")
batsmanRunsLikelihood(pathToFile,"Sachin Tendulkar")

# 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)