relativeBowlingERODTT {cricketr}

Compute and plot the relative mean Economy Rate(ER) of the bowlers for ODI or Twenty20

Description

This function computes and plots the relative Economy Rate of the bowlers for ODI or Twenty20

Usage

relativeBowlingERODTT(frames, names)

Arguments

frames

This is a list of <bowler>.csv files obtained with an initial getPlayerDataOD() or getPlayerTT()

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

relativeBatsmanSRODTT relativeRunsFreqPerfODTT

Examples

## Not run: 
# Get or use the <bowler>.csv obtained with getPlayerData()
# a <- getPlayerData(47492,file="steyn.csv",type="bowling", 
# homeOrAway=c(1,2),result=c(1,2,4))

# Retrieve the file path of a data file installed with cricketr
steyn <- system.file("data", "steyn.csv", package = "cricketr")
mitchell <- system.file("data", "mitchell.csv", package = "cricketr")
southee <- system.file("data", "southee.csv", package = "cricketr")
malinga <- system.file("data", "malinga.csv", package = "cricketr")

frames <- list(steyn,mitchell,southee,malinga)
names <- c("Steyn","Mitchell","Southee","Malinga")
relativeBowlingERODTT(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)