1d:T668,# Compute and plot the relative mean Economy Rate(ER) of the bowlers for ODI or Twenty20 This function computes and plots the relative Economy Rate of the bowlers for ODI or Twenty20 ```r relativeBowlingERODTT(frames, names) ``` ## Arguments - `frames`: This is a list of .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 ## Returns None ## References https://www.espncricinfo.com/ci/content/stats/index.html https://gigadom.in/ ## Author(s) Tinniam V Ganesh ## Note Maintainer: Tinniam V Ganesh ## See Also `relativeBatsmanSRODTT` `relativeRunsFreqPerfODTT` ## Examples ```r ## Not run: # Get or use the .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) ```1e:T49a,M7.49933 0.25C3.49635 0.25 0.25 3.49593 0.25 7.50024C0.25 10.703 2.32715 13.4206 5.2081 14.3797C5.57084 14.446 5.70302 14.2222 5.70302 14.0299C5.70302 13.8576 5.69679 13.4019 5.69323 12.797C3.67661 13.235 3.25112 11.825 3.25112 11.825C2.92132 10.9874 2.44599 10.7644 2.44599 10.7644C1.78773 10.3149 2.49584 10.3238 2.49584 10.3238C3.22353 10.375 3.60629 11.0711 3.60629 11.0711C4.25298 12.178

relativeBowlingERODTT function