R/teamRunsSRPlotAllOppnAllMatches.R

In yorkr: Analyze Cricket Performances Based on Data from Cricsheet

##########################################################################################
# Designed and developed by Tinniam V Ganesh
# Date : 23 Nov 2021
# Function: teamRunsSRPlotAllOppnAllMatches
# This function computes the runs vs SR for  the team batsman against all opposition in
# all matches
#
#
###########################################################################################
#' @title
#' Team batting plots runs vs SR for team against all oppositions in all matches
#'
#' @description
#' This function computes and plots runs vs SR  of a team in all matches against all
#' oppositions.
#'
#' @usage
#' teamRunsSRPlotAllOppnAllMatches(matches,theTeam,plot=1)
#'
#' @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
#'
#' @param plot
#' Plot=1 (static), Plot=2(interactive)
#'
#' @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
#' teamRunsSRPlotAllOppnAllMatches(matches,theTeam="India")
#'
#' # The best England players scorecard against India is shown
#' teamRunsSRPlotAllOppnAllMatches(matches,theTeam="England",plot=1)
#' }
#'
#' @seealso
#' \code{\link{teamBatsmenVsBowlersAllOppnAllMatchesPlot}}\cr
#' \code{\link{teamBatsmenPartnershipOppnAllMatchesChart}}\cr
#' \code{\link{teamBatsmenPartnershipAllOppnAllMatchesPlot}}\cr
#' \code{\link{teamBowlingWicketRunsAllOppnAllMatches}}
#'
#' @export
#'
teamRunsSRPlotAllOppnAllMatches <- function(matches,theTeam, plot=1){
    team=batsman=runs=fours=sixes=SR=quantile=quadrant=NULL
    byes=legbyes=noballs=wides=ggplotly=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")
    details$SR= details$runs/details$ballsPlayed *100.00
    cat("Total=",sum(details$runs),"\n")
    details <- arrange(details,desc(runs),desc(sixes),desc(fours))
    details <- select(details,batsman,ballsPlayed,fours,sixes,runs,SR)

    x_lower <- quantile(details$runs,p=0.66, na.rm = TRUE)
    y_lower <- quantile(details$SR,p=0.66, na.rm = TRUE)

    plot.title <- paste(theTeam, "Runs vs SR against all opposition in all matches")
    if(plot == 1){ #ggplot2
        details %>%
            mutate(quadrant = case_when(runs > x_lower & SR > y_lower   ~ "Q1",
                                        runs <= x_lower & SR > y_lower  ~ "Q2",
                                        runs <= x_lower & SR <= y_lower ~ "Q3",
                                        TRUE ~ "Q4")) %>%
            ggplot(aes(runs,SR,color=quadrant)) +
            geom_text(aes(runs,SR,label=batsman,color=quadrant)) + geom_point() +
            xlab("Runs") + ylab("Strike rate") +
            geom_vline(xintercept = x_lower,linetype="dashed") +  # plot vertical line
            geom_hline(yintercept = y_lower,linetype="dashed") +  # plot horizontal line
            ggtitle(plot.title)

    } else if(plot == 2){ #ggplotly
       g <-  details %>%
            mutate(quadrant = case_when(runs > x_lower & SR > y_lower   ~ "Q1",
                                        runs <= x_lower & SR > y_lower  ~ "Q2",
                                        runs <= x_lower & SR <= y_lower ~ "Q3",
                                        TRUE ~ "Q4")) %>%
         ggplot(aes(runs,SR,color=quadrant)) +
             geom_text(aes(runs,SR,label=batsman,color=quadrant)) + geom_point() +
           xlab("Runs") + ylab("Strike rate") +
             geom_vline(xintercept = x_lower,linetype="dashed") +  # plot vertical line
             geom_hline(yintercept = y_lower,linetype="dashed") +  # plot horizontal line
            ggtitle(plot.title)

        ggplotly(g)
    }



}