relativeBowlingERODTT: Compute and plot the relative mean Economy Rate(ER) of the...
In tvganesh/ckt11: Analyze Cricketers 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 for ODI or Twenty20

1	relativeBowlingERODTT(frames, names)

`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

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

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

relativeBatsmanSRODTT relativeRunsFreqPerfODTT

# 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.