R/teamRunsSRMiddleOversPlotMatch.R

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

##########################################################################################
# Designed and developed by Tinniam V Ganesh
# Date : 26 Nov 2021
# Function: teamRunsSRPMiddleOversPlotMatch
# This function plot the runs vs SR for  the team batsman during middle overs against opposition in match
#
#
###########################################################################################
#' @title
#' Team batting plots runs vs SR in middle overs for team  in match
#'
#' @description
#' This function computes and plots runs vs SR  in middle overs of a team in match against
#' opposition.
#'
#' @usage
#' teamRunsSRPMiddleOversPlotMatch(match,t1, t2, plot=1)
#'
#' @param match
#' Match
#'
#' @param t1
#' The team
#'
#' @param t2
#' The  opposition team
#'
#' @param plot
#' Plot=1 (static), Plot=2(interactive)
#'
#' @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{
#'
#'
#' # Top batsman is displayed in descending order of runs
#' teamRunsSRPMiddleOversPlotMatch(match,t1="India",t2="England")
#'
#' }
#'
#' @seealso
#' \code{\link{teamBatsmenVsBowlersAllOppnAllMatchesPlot}}\cr
#' \code{\link{teamBatsmenPartnershipOppnAllMatchesChart}}\cr
#' \code{\link{teamBatsmenPartnershipAllOppnAllMatchesPlot}}\cr
#' \code{\link{teamBowlingWicketRunsAllOppnAllMatches}}
#'
#' @export
#'
teamRunsSRPMiddleOversPlotMatch <- function(match,t1,t2, plot=1) {
  team=ball=totalRuns=total=str_extract=batsman=runs=quantile=quadrant=SRMiddleOvers=NULL
  ggplotly=NULL
  # Filter the performance of team1
  a <-filter(match,team==t1)
  a1 <- a %>% filter(between(as.numeric(str_extract(ball, "\\d+(\\.\\d+)?$")), 6.1, 15.9))
  a2 <- select(a1,ball,totalRuns,batsman,date)
  a3 <- a2 %>% group_by(batsman) %>% summarise(runs=sum(totalRuns),count=n(), SRMiddleOvers=runs/count*100)

  x_lower <- quantile(a3$runs,p=0.66,na.rm = TRUE)
  y_lower <- quantile(a3$SRMiddleOvers,p=0.66,na.rm = TRUE)

  plot.title <- paste(t1, " Runs vs SR in Middle overs against ", t2,sep="")
  if(plot == 1){ #ggplot2
    a3 %>%
      mutate(quadrant = case_when(runs > x_lower & SRMiddleOvers > y_lower   ~ "Q1",
                                  runs <= x_lower & SRMiddleOvers > y_lower  ~ "Q2",
                                  runs <= x_lower & SRMiddleOvers <= y_lower ~ "Q3",
                                  TRUE ~ "Q4")) %>%
      ggplot(aes(runs,SRMiddleOvers,color=quadrant)) +
      geom_text(aes(runs,SRMiddleOvers,label=batsman,color=quadrant)) + geom_point() +
      xlab("Runs - Middle overs") + ylab("Strike rate - Middle overs") +
      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 <-  a3 %>%
      mutate(quadrant = case_when(runs > x_lower & SRMiddleOvers > y_lower   ~ "Q1",
                                  runs <= x_lower & SRMiddleOvers > y_lower  ~ "Q2",
                                  runs <= x_lower & SRMiddleOvers <= y_lower ~ "Q3",
                                  TRUE ~ "Q4")) %>%
      ggplot(aes(runs,SRMiddleOvers,color=quadrant)) +
      geom_text(aes(runs,SRMiddleOvers,label=batsman,color=quadrant)) + geom_point() +
      xlab("Runs - Middle overs") + ylab("Strike rate - Middle overs") +
      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)
  }


}