1d:T6c1,# Calculate and plot the relative Mean Strike Rate (SR) for each batsman for ODI or Twenty20 batsmen Calculate and plot the relative MEan Strike Rate (SR) for each batsman for ODI or Twenty20 batsmen ```r relativeBatsmanSRODTT(frames, names) ``` ## Arguments - `frames`: This is a list of .csv files obtained with an initial getPlayerDataOD() or getPlayerTT() - `names`: A list of batsmen 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 `batsmanScoringRateODTT` `relativeRunsFreqPerfODTT` `batsmanPerfBoxHist` ## Examples ```r ## Not run: # Get or use the .csv obtained with getPlayerDataOD() or getPlayerTT() #sehwag <-getPlayerData(35263,dir="./mytest", file="sehwag.csv", #type="batting", homeOrAway=c(1,2),result=c(1,2,4)) # Retrieve the file path of a data file installed with cricketr sehwag <- system.file("data", "sehwag.csv", package = "cricketr") devilliers <- system.file("data", "devilliers.csv", package = "cricketr") gayle <- system.file("data", "gayle.csv", package = "cricketr") maxwell <- system.file("data", "maxwell.csv", package = "cricketr") batsmen <- list(sehwag,devilliers,gayle,maxwell) names <- list("Sehwag","Devilliers","Gayle","Maxwell") relativeBatsmanSRODTT(batsmen,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 2.49

relativeBatsmanSRODTT function