R/batsmanRunsVsStrikeRate.R

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

##########################################################################################
# Designed and developed by Tinniam V Ganesh
# Date : 25 Mar 2016
# Function: batsmanRunsVsStrikeRate
# This function plots the runs scored versus the strike rate
###########################################################################################
#' @title
#' Batsman runs versus strike rate
#'
#' @description
#' This function plots the runs scored by the batsman  and the runs scored
#' by the batsman. A loess line is fitted over the points
#'
#' @usage
#' batsmanRunsVsStrikeRate(df, name= "A Late Cut",dateRange,staticIntv=1)
#'
#' @param df
#' Data frame
#'
#' @param name
#' Name of batsman
#'
#' @param dateRange
#' Date interval to consider
#'
#' @param staticIntv
#' Static or interactive -staticIntv =1 (static plot) &  staticIntv =2 (interactive  plot)
#'
#' @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 data frame for Kohli
#' kohli <- getBatsmanDetails(team="India",name="Kohli",dir=pathToFile)
#' batsmanRunsVsStrikeRate(kohli,"Kohli",dateRange)
#' }
#'
#' @seealso
#' \code{\link{batsmanDismissals}}\cr
#' \code{\link{batsmanRunsVsDeliveries}}\cr
#' \code{\link{batsmanRunsVsStrikeRate}}\cr
#' \code{\link{batsmanRunsPredict}}\cr
#' \code{\link{teamBatsmenPartnershipAllOppnAllMatches}}\cr
#'
#' @export
#'
batsmanRunsVsStrikeRate <- function(df,name= "A Late Cut",dateRange,staticIntv=1){
    batsman = runs = strikeRate = NULL
    ggplotly=NULL
    df=df %>% filter(date >= dateRange[1] & date <= dateRange[2])
    b <- select(df,batsman,runs,strikeRate)

    plot.title = paste(name,"- Runs vs Strike Rate")
    if(staticIntv ==1){ #ggplot2
        ggplot(b) + geom_point(aes(x=runs, y=strikeRate),colour="darkgrey") +
            geom_smooth(aes(x=runs, y=strikeRate)) +
            xlab("Strike rate(%)") + ylab("Runs") +
            ggtitle(bquote(atop(.(plot.title),
                                atop(italic("Data source:http://cricsheet.org/"),""))))

   } else { #ggplotly

       g <- ggplot(b) + geom_point(aes(x=runs, y=strikeRate),colour="darkgrey") +
           geom_smooth(aes(x=runs, y=strikeRate)) +
           xlab("Strike rate(%)") + ylab("Runs") +
           ggtitle(plot.title)
       ggplotly(g)

   }
}