R/teamBattingScorecardAllOppnAllMatches.R

In tvganesh/yorkr: Analyze Cricket Performances Based on Data from Cricsheet

##########################################################################################
# Designed and developed by Tinniam V Ganesh
# Date : 24 Mar 2016
# Function: teamBattingScorecardAllOppnAllMatches
# This function computes the performances of the teams batsman against all opposition in
# all matches
#
#
###########################################################################################
#' @title
#' Team batting scorecard against all oppositions in all matches
#'
#' @description
#' This function omputes and returns the batting scorecard of a team in all matches against all
#' oppositions. The data frame has the ball played, 4's,6's and runs scored by batsman
#'
#' @usage
#' teamBattingScorecardAllOppnAllMatches(matches,theTeam)
#'
#' @param matches
#' All matches of the team in all matches with all oppositions
#'
#' @param theTeam
#' The team for which the the batting partnerships are sought
#'
#'
#' @return details
#' The data frame of the scorecard of the team in all matches against all oppositions
#'
#' @references
#' \url{https://cricsheet.org/}\cr
#' \url{https://gigadom.in/}\cr
#' \url{https://github.com/tvganesh/yorkrData/}
#'
#' @author
#' Tinniam V Ganesh
#' @note
#' Maintainer: Tinniam V Ganesh \email{tvganesh.85@gmail.com}
#'
#' @examples
#' \dontrun{
#' # Get all matches between India with all oppositions
#' matches <-getAllMatchesAllOpposition("India",dir="../data/",save=TRUE)
#'
#' # This can also be loaded from saved file
#' # load("allMatchesAllOpposition-India.RData")
#'
#' # Top batsman is displayed in descending order of runs
#' teamBattingScorecardAllOppnAllMatches(matches,theTeam="India")
#'
#' # The best England players scorecard against India is shown
#' teamBattingScorecardAllOppnAllMatches(matches,theTeam="England")
#' }
#'
#' @seealso
#' \code{\link{teamBatsmenVsBowlersAllOppnAllMatchesPlot}}\cr
#' \code{\link{teamBatsmenPartnershipOppnAllMatchesChart}}\cr
#' \code{\link{teamBatsmenPartnershipAllOppnAllMatchesPlot}}\cr
#' \code{\link{teamBowlingWicketRunsAllOppnAllMatches}}
#'
#' @export
#'
teamBattingScorecardAllOppnAllMatches <- function(matches,theTeam){
    team=batsman=runs=fours=sixes=NULL
    byes=legbyes=noballs=wides=NULL
    a <-filter(matches,team==theTeam)
    b <- select(a,batsman,runs)
    names(b) <-c("batsman","runs")

    #Compute the number of 4s
    c <-
        b %>%
        mutate(fours=(runs>=4 & runs <6)) %>%
        filter(fours==TRUE)

    # Group by batsman. Count 4s
    d <-    summarise(group_by(c, batsman),fours=n())

    # Get the total runs for each batsman
    e <-summarise(group_by(a,batsman),sum(runs))
    names(b) <-c("batsman","runs")
    details <- full_join(e,d,by="batsman")
    names(details) <-c("batsman","runs","fours")

    f <-
        b %>%
        mutate(sixes=(runs ==6)) %>%
        filter(sixes == TRUE)
    # Group by batsman. COunt 6s
    g <- summarise(group_by(f, batsman),sixes=n())
    names(g) <-c("batsman","sixes")
    #Full join with 4s and 6s
    details <- full_join(details,g,by="batsman")

    # Count the balls played by the batsman
    ballsPlayed <-
        a  %>%
        select(batsman,byes,legbyes,wides,noballs,runs) %>%
        filter(wides ==0,noballs ==0,byes ==0,legbyes == 0) %>%
        select(batsman,runs)

    ballsPlayed<- summarise(group_by(ballsPlayed,batsman),count=n())
    names(ballsPlayed) <- c("batsman","ballsPlayed")
    details <- full_join(details,ballsPlayed,by="batsman")
    cat("Total=",sum(details$runs),"\n")
    details <- arrange(details,desc(runs),desc(sixes),desc(fours))
    details <- select(details,batsman,ballsPlayed,fours,sixes,runs)
    details

}