relativeBowlingER: Compute and plot the relative mean Economy Rate(ER) of the...

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

View source: R/relativeBowlingER.R

Description

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

Usage

1

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 <tvganesh.85@gmail.com>

Author(s)

Tinniam V Ganesh

References

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

See Also

bowlerWktsFreqPercent relativeBowlingPerf bowlerHistWickets

Examples

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## 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)

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