#' @name loadTraining
#' @title Load 501 training legs
#' @description Load a 501 training file with different legs in it
#' @usage loadTraining(file)
#' @param file file path. Could be ommitted and file selection would be prompted
#' @author Matteo Miotto
#' @export
loadTraining501<- function(file = NULL){
# check filename
if (is.null(file)) {
cat("Select 501 training result file", "\n")
Sys.sleep(0.5)
file <- file.choose()
}
# load file
trFile <- read.table(file, col.names = F)
# useful values
legs <- list()
players <- character()
all <- list()
# loop through all legs (2 lines each)
for (i in seq(1, dim(trFile)[1], 2)) {
splitted1 <- unlist(strsplit(trFile[i,], split = ",")) # split first line
id <- splitted1[1] # get leg ID
player <- splitted1[2] # get player name
dartsScoresCh <- unlist(strsplit(trFile[i+1,], split = ",")) # split second line
# create a class Legtr object
l <- legtr(id = id, player = player, dartsScoresCh = dartsScoresCh)
# collect useful data to later sum up
legs <- c(legs, l)
players <- c(players, getPlayers(l))
}
# loop through players
for (p in seq_along(unique(players))) {
plegs <- legs[which(players == unique(players)[p])] # get player legs
all[[p]] <- plegs
names(all)[p] <- unique(players)[p]
}
# return
return(all)
}
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