##########################################################################################
# Designed and developed by Tinniam V Ganesh
# Date : 2 May 2020
# Function: getDeliveryWickets
# This function creates a data frame of delivery and wickets
#
###########################################################################################
#' @title
#' Get datframe of deliveries bowled and wickets taken
#'
#' @description
#' This function creates a data frame of deliveries bowled and wickets taken. This data frame is
#' then used by bowlerWktsPredict to predict the number of deliveries to wickets taken
#'
#' @usage
#' getDeliveryWickets(team,dir=".",name,save=FALSE)
#'
#' @param team
#' The team for which dataframe is to be obtained
#'
#' @param dir
#' The source directory in which the match .RData files exist
#'
#' @param name
#' The name of the bowler
#'
#' @param save
#' Whether the data frame needs to be saved to a file or nor
#'
#' @return dataframe
#' The dataframe of delivery wickets
#'
#' @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{
#' # Create a data frame of deliveries to wickets from the stored .RData files
#' jadeja1 <- getDeliveryWickets(team="India",dir="../data",name="Jadeja",save=FALSE)
#'
#' # Use this to create a classification tree of deliveries to wickets
#' bowlerWktsPredict(jadeja1,"RA Jadeja")
#' }
#'
#' @seealso
#' \code{\link{bowlerMovingAverage}}\cr
#' \code{\link{getTeamBowlingDetails}}\cr
#' \code{\link{bowlerWktsPredict}}\cr
#' \code{\link{teamBowlersWicketRunsOppnAllMatches}}
#'
#' @export
#'
getDeliveryWickets <- function(team,dir=".",name,save=FALSE){
overs=bowlingDetails=NULL
a <- paste(dir,"/","*",team,"*",sep="")
# Gather team against all opposition
fl <- Sys.glob(a)
print(length(fl))
cat(team,"dir=",dir,"name=",name,"\n")
deliveryWKts <- NULL
for(i in 1:length(fl)){
tryCatch({
load(fl[i])
match <- overs
#print(i)
details <- bowlerDeliveryWickets(match,team,name)
print(dim(details))
# If the side has not batted details will be NULL. Skip in that case
if(!is.null(dim(details))){
deliveryWKts <- rbind(deliveryWKts,details)
}else {
#print("Empty")
next
}
}, error=function(e){cat("ERROR :",conditionMessage(e), "\n")})
}
print(head(deliveryWKts))
deliveryWKts
}
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