cricketr (version 0.0.23)

relativeBatsmanSRODTT: Calculate and plot the relative Mean Strike Rate (SR) for each batsman for ODI or Twenty20 batsmen

Description

Calculate and plot the relative MEan Strike Rate (SR) for each batsman for ODI or Twenty20 batsmen

Usage

relativeBatsmanSRODTT(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

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

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")
relativeBatsmanSRODTT(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.
# }