cricketr (version 0.0.26)

relativeRunsFreqPerfODTT: Calculate and compute the relative run frequencies of a list of cricketers

Description

This function computes the run frequencies in ranges of 10 and plots these for a list of batsmen

Usage

relativeRunsFreqPerfODTT(frames, names)

Arguments

frames

This is a list of <batsman>.csv files obtained with an initial getPlayerDataOD() or getPlayerTT()

names

A list of batsmen names who need to be compared

Value

None

Details

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

References

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

See Also

batsmanScoringRateODTT, relativeRunsFreqPerfODTT, batsmanPerfBoxHist

Examples

# NOT RUN {
# Get or use the <batsman>.csv obtained with getPlayerDataOD() or getPlayerTT()
#sehwag <-getPlayerData(35263,dir="./mytest", file="sehwag.csv",
#type="batting", homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
sehwag <- system.file("data", "sehwag.csv", package = "cricketr")
devilliers <- system.file("data", "devilliers.csv", package = "cricketr")
gayle <- system.file("data", "gayle.csv", package = "cricketr")
maxwell <- system.file("data", "maxwell.csv", package = "cricketr")

batsmen <- list(sehwag,devilliers,gayle,maxwell)
names <- list("Sehwag","Devilliers","Gayle","Maxwell")
relativeRunsFreqPerfODTT(batsmen,names)

# Note: This example uses the /data directory for the files. However
# you can use any directory as long as the data files exists in that directory.
# }