R/matchWormWicket.R

In yorkr: Analyze Cricket Performances Based on Data from Cricsheet

##########################################################################################
# Designed and developed by Tinniam V Ganesh
# Date :  6 Nov 2021
# Function: matchWormWicketGraph
# This function computes  and plots the match worm wicket chart
#
###########################################################################################
#' @title
#' Plot the match worm wicket graph
#'
#' @description
#' This function  plots the match worm wicket graph between 2 teams in a match
#'
#' @usage
#' matchWormWicketGraph(match,t1,t2,plot=1)
#'
#' @param match
#' The dataframe of the match
#'
#' @param t1
#' The 1st team of the match
#'
#' @param t2
#' the 2nd team in the match
#'
#' @param plot
#' Plot=1 (static), Plot=2(interactive)
#'
#' @return none
#'
#' @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 the match details
#' a <- getMatchDetails("England","Pakistan","2006-09-05",dir="../temp")
#'
#' # Plot tne match worm plot
#' matchWormWicketGraph(a,'England',"Pakistan")
#' }
#' @seealso
#' \code{\link{getBatsmanDetails}}\cr
#' \code{\link{getBowlerWicketDetails}}\cr
#' \code{\link{batsmanDismissals}}\cr
#' \code{\link{getTeamBattingDetails}}\cr
#'
#' @export
#'
matchWormWicketGraph <- function(match,t1,t2,plot=1) {
  team=ball=totalRuns=total=wicketPlayerOut=NULL
  ggplotly=NULL
  # Filter the performance of team1
  a <-filter(match,team==t1)
  b <- select(a,ball,totalRuns,wicketPlayerOut)
  # Check for both possibilities
  if(grepl("1st",b$ball[1])){
    c <-mutate(b,ball=gsub("1st\\.","",ball))
  } else{
    c <-mutate(b,ball=gsub("2nd\\.","",ball))
  }

  # Compute cumulative sum vs balls bowled
  d <- mutate(c,total=cumsum(totalRuns))

  # Filter performance of team2
  a <-filter(match,team==t2)
  b1 <- select(a,ball,totalRuns,wicketPlayerOut)
  # Check for both possibilities
  if(grepl("2nd",b1$ball[1])){
    c1 <-mutate(b1,ball=gsub("2nd\\.","",ball))
  } else{
    c1 <-mutate(b1,ball=gsub("1st\\.","",ball))
  }

  # Compute cumulative sum vs balls bowled
  d1 <- mutate(c1,total=cumsum(totalRuns))

  # Convert to numeric
  d$ball=as.numeric(d$ball)
  d1$ball=as.numeric(d1$ball)

  e= filter(d,wicketPlayerOut !=  "nobody")
  e1= filter(d1,wicketPlayerOut !=  "nobody")

  # Plot both lines
  if(plot ==1){ #ggplot2
    ggplot() +
      geom_line(data = d, aes(x = ball, y = total, color = t1)) +
      geom_line(data = d1, aes(x = ball, y = total, color = t2))+
      geom_point(data=e, aes(x=ball, y=total,color=t1),shape=0) +
      geom_text(data=e, aes(x=ball,y=total,label=wicketPlayerOut,color=t1),vjust=0.5) +
      geom_point(data=e1,aes(x=ball, y=total,color=t2),shape=2) +
      geom_text(data=e1, aes(x=ball,y=total,label=wicketPlayerOut,color=t2),vjust=0.5) +
      xlab("Overs") +
      ggtitle(bquote(atop(.("Worm chart of match"),
                          atop(italic("Data source:http://cricsheet.org/"),""))))



  }else { #ggplotly
    g <- ggplot() +
      geom_line(data = d, aes(x = ball, y = total, color = t1)) +
      geom_line(data = d1, aes(x = ball, y = total, color = t2))+
      geom_point(data=e, aes(x=ball, y=total,color=t1),shape=0) +
      geom_text(data=e, aes(x=ball,y=total,label=wicketPlayerOut,color=t1),vjust=-0.5) +
      geom_point(data=e1,aes(x=ball, y=total,color=t2),shape=2) +
      geom_text(data=e1, aes(x=ball,y=total,label=wicketPlayerOut,color=t2),vjust=0.5) +
      xlab("Overs") +
      ggtitle("Worm chart of match")


    ggplotly(g)

  }


}