relativeBowlingER: Compute and plot the relative mean Economy Rate(ER) of the...
In cricketr: Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo Statsguru

Description Usage Arguments Details Value Note Author(s) References See Also Examples

This function computes and plots the relative Economy Rate of the bowlers

1	relativeBowlingER(frames, names)

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

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

None

Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

Tinniam V Ganesh

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

bowlerWktsFreqPercent relativeBowlingPerf bowlerHistWickets

## Not run: 
# Get the list of the <batsman>.csv files obtained with getPlayerData() for batsmen to be compared
# kumble  <- getPlayerData(30176,file="kumble.csv",type="bowling", 
# homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
kumble <- system.file("data", "kumble.csv", package = "cricketr")
warne <- system.file("data", "warne.csv", package = "cricketr")
murali <- system.file("data", "murali.csv", package = "cricketr")

frames <- list(kumble,warne,murali)
names <- c("Kumble","Warne","Murali")
relativeBowlingER(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)