relativeBowlingER {cricketr}

Compute and plot the relative mean Economy Rate(ER) of the bowlers

Description

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

Usage

relativeBowlingER(frames, names)

Arguments

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

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

Examples

## 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)