#*********************************************
#*********************************************
#' Reads the data in copy-paste files from the world ranking in table hockey.
#'
#'
#' @return
#'
#' @examples
#' \dontrun{}
#'
#' @export
#' @rdname getpriceWR
#'
getpriceWR<-function(file=NULL,date=NULL,par=c(0.01,2/3)){
############ AUTHOR(S): ############
# Arne Johannes Holmin
############ LANGUAGE: #############
# English
############### LOG: ###############
# Start: 2011-12-20 - Clean version.
########### DESCRIPTION: ###########
# Reads the data in copy-paste files from the world ranking in table hockey.
########## DEPENDENCIES: ###########
#
############ VARIABLES: ############
# - 'x' is the file to read.
##################################################
##################################################
##### Preparation #####
allplayers=getallplayers()
if(length(file)==0){
dir="/Users/arnejohannesholmin/Documents/Diverse/Bordhockey/FantasyNBA/Rankings"
f=list.files(dir,full.names=TRUE)
rankingfiles=f[substr(basename(f),1,7)=="ranking"]
rankingdate=as.numeric(paste(substr(basename(rankingfiles),8,11),substr(basename(rankingfiles),13,14),substr(basename(rankingfiles),16,17),sep=""))
if(length(date)){
rankingdate[rankingdate>date]=-Inf
file=rankingfiles[which.max(rankingdate)]
cat("WR file read: ",file,"\n")
}
else{
file=rankingfiles[which.max(rankingdate)]
cat("The latest WR file read: ",file,"\n")
}
}
##### Execution #####
# Read the ranking file:
dd=read.table(file,skip=1,header=TRUE,sep="\t")
# Get the total score, best score and the price calculated by adding par[2] to the total score times par[1], rounded to 0.1:
dd$Points=as.numeric(dd$Points)
dd$Best=as.numeric(dd$Best)
dd$price0 = round(par[1] * dd$Points + par[2],digits=1)
##### Output #####
# Construct the data frame to return and extract the norwegian players and the approved players given in 'addnames':
dat=data.frame(Player=levels(dd$Player)[dd$Player],Club=levels(dd$Club)[dd$Club],Nation=levels(dd$Nation)[dd$Nation],PointsWR=dd$Points,Best=dd$Best,PriceWR=dd$price0)
dat[,1]=levels(dat[,1])[dat[,1]]
# Match the players to the 'allplayers':
matchWR=match(allplayers[,1],dat[,1])
matchWR=matchWR[!is.na(matchWR)]
# Insert the WR-data:
out=cbind(as.data.frame(allplayers),PointsWR=0,Best=0,PriceWR=round(par[2],digits=1))
out[allplayers[,1] %in% dat[,1],]=dat[matchWR,]
# Return:
out
##################################################
##################################################
}
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