relativeWktRateTT: Compute and plot the relative Mean Wicket Rate of the bowlers...

In cricketr: Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo Statsguru

Description

This function computes and plots the relative Wicket Rate of the bowlers in Twenty20 International

Usage

relativeWktRateTT(frames, names)

Arguments

frames	This is a list of Twenty20 <bowler>.csv files obtained with an initial getPlayerDataTT()
names	A list of bowlers names who need to be compared

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

bowlerWktsFreqPercent relativeBowlingPerf bowlerHistWickets bowlerWktRateTT

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerData()
# a <- getPlayerDataTT(26421,dir=".",file="ashwin.csv",type="bowling", 
# homeOrAway=c(1,2,3), result=c(1,2,3,5))

# Retrieve the file path of a data file installed with cricketr
mendis <- system.file("data", "mendis.csv", package = "cricketr")
narine  <- system.file("data", "narine.csv", package = "cricketr")
badree <- system.file("data", "badree.csv", package = "cricketr")

frames <- list(mendis, badree,narine)
names <- c("Mendis","Badree","Narine")
relativeWktRateTT(frames,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.

## End(Not run)

cricketr documentation built on March 23, 2021, 9:06 a.m.