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Introduction
In this post, my R package ‘yorkr’, continues to bat in the IPL Twenty20s. This post is a continuation of my earlier post – yorkr crashes the IPL party ! – Part 1. This post deals with Class 2 functions namely the performances of an IPL team in all T20 matches against another IPL team for e.g all T20 matches of Chennai Super Kings vs Royal Challengers Bangalore or Kochi Tuskers Kerala vs Mumbai Indians etc.
You can clone/fork the code for my package yorkr from Github at yorkr
This post has also been published at RPubs IPLT20-Part2 and can also be downloaded as a PDF document from IPLT20-Part2.pdf
The list of function in Class 2 are
- teamBatsmenPartnershiOppnAllMatches()
- teamBatsmenPartnershipOppnAllMatchesChart()
- teamBatsmenVsBowlersOppnAllMatches()
- teamBattingScorecardOppnAllMatches()
- teamBowlingPerfOppnAllMatches()
- teamBowlersWicketsOppnAllMatches()
- teamBowlersVsBatsmenOppnAllMatches()
- teamBowlersWicketKindOppnAllMatches()
- teamBowlersWicketRunsOppnAllMatches()
- plotWinLossBetweenTeams()
1. Install the package from CRAN
library(yorkr)
rm(list=ls())2. Get data for all T20 matches between 2 teams
We can get all IPL T20 matches between any 2 teams using the function below. The dir parameter should point to the folder which has the IPL T20 RData files of the individual matches. This function creates a data frame of all the IPL T20 matches and also saves the dataframe as RData. The function below gets all matches between India and Australia
setwd("C:/software/cricket-package/york-test/yorkrData/IPL/IPL-T20-matches")
matches getAllMatchesBetweenTeams("Sunrisers Hyderabad","Royal Challengers Bangalore",dir=".")
dim(matches)## [1] 1320 25I have however already saved the IPL Twenty20 matches for all possible combinations of opposing IPL Teams. The data for these matches for the individual teams/countries can be obtained from Github at in the folder IPL-T20-allmatches-between-two-teams
Note: You will need to use the function below for future matches! The data in Cricsheet are from 2008 -2015
3. Save data for all matches between all combination of 2 teams
This can …read more
Source:: r-bloggers.com