#' Discharge Boxplot of measured Values during specific (calendrical/hydrological) Year
#'
#' @param data list; Contains all stations that the discharge analysis should consider. List can be created by \link[dischanalyst]{grdc_list}. Each entry of the list contains the existing discharge measurements (as numeric) and the corresponding dates (as character) for the station.
#' @param station character; Name of the Station e.g. "COCHEM" - must be named equally like list entry in data.
#' @param year numeric; Year within time series of measurements.
#' @param h logical; Hydrological year. If h=TRUE (default); hydrological year November - October (given year/given year +1). If h=FALSE: calendrical year: January- December.
#'
#' @return Boxplot; Graphic of discharge measurements in a specific (calendrical/hydrological) year. Using \link[ggplot2]{geom_boxplot}.
#' @import ggplot2
#' @export
#'
#' @examples
#' \dontrun{ QBoxploty(data, "COCHEM", 2000, h=T)}
#'
QBoxploty=function(data, station, year, h=T){
nbr=which(names(data)==station)
if (h==T){
one=rep("0",2)
two=rep("0", 10)
for (i in 1:2){
hydroyear1=c("11", "12" )
one[i]=paste(year,"-",hydroyear1[i])
one=sub(" - ", "-", one)
}
for (i in 1:10){
hydroyear2=c("01","02", "03", "04", "05", "06", "07", "08", "09", "10")
two[i]=paste(year+1,"-",hydroyear2[i])
two=sub(" - ", "-", two)
}
year_=c(one,two)
Nov=grep(year_[1],data[[nbr]][,1] )
Dec=grep(year_[2],data[[nbr]][,1] )
Jan=grep(year_[3],data[[nbr]][,1] )
Feb=grep(year_[4],data[[nbr]][,1] )
Mar=grep(year_[5],data[[nbr]][,1] )
April=grep(year_[6],data[[nbr]][,1] )
May=grep(year_[7],data[[nbr]][,1] )
June=grep(year_[8],data[[nbr]][,1] )
July=grep(year_[9],data[[nbr]][,1] )
August=grep(year_[10],data[[nbr]][,1] )
Sep=grep(year_[11],data[[nbr]][,1] )
Oct=grep(year_[12],data[[nbr]][,1] )
j=c(Nov,Dec,Jan, Feb,Mar, April, May, June, July, August, Sep, Oct)
new_data=data[[nbr]][j,]
titl=paste("Boxplot of", station)
plot=ggplot(new_data)+geom_boxplot(aes(y=new_data[,2], color="red"))+labs(title=titl, subtitle=paste("in the Hydrological Year", year, "/", year+1))+theme(legend.position="none")+ylab("Discharge Value")
return(plot)
}else{
year_=year
j=grep(year_, data[[nbr]][,1])
new_data=data[[nbr]][j,]
titl=paste("Boxplot of",station, "in", year)
plot=ggplot(new_data)+geom_boxplot(aes(y=new_data[,2], color="red"))+labs(title=titl,subtitle=paste("in the Hydrological Year", year, "/", year+1))+theme(legend.position="none")+ylab("Discharge Value")
return(plot)
}
}
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