#' Function to return the TH1 and TH2 hydrologic indicator statistics for a given data frame
#'
#' This function accepts a data frame that contains a column named "discharge" and
#' calculates the mean and variability of the Julian date of the annual maximum flow for the entire record
#'
#' @param qfiletempf data frame containing a "discharge" column containing daily flow values
#' @param pref string containing a "mean" or "median" preference
#' @return th1.2 list containing the mean and variability of the Julian date of the annual maximum flow for the given data frame
#' @export
#' @examples
#' load_data<-paste(system.file(package="HITHATStats"),"/data/obs_data.csv",sep="")
#' qfiletempf<-read.csv(load_data)
#' th1.2(qfiletempf)
th1.2 <- function(qfiletempf, pref = "mean") {
max1daybyyear <- aggregate(qfiletempf$discharge,
list(qfiletempf$wy_val), max, na.rm=TRUE)
colnames(max1daybyyear) <- c("wy_val","discharge")
maxjulbyyear <- aggregate(qfiletempf$jul_val, list(qfiletempf$wy_val,qfiletempf$discharge),max,na.rm=TRUE)
colnames(maxjulbyyear) <- c("wy_val","discharge","jul_val")
maxjulday <- merge(maxjulbyyear,max1daybyyear,by = c("wy_val","discharge"))
meanth2<-mean(maxjulday$jul_val)
sddth2<-sd(maxjulday$jul_val)
th2<-(sddth2*100)/meanth2
if (pref == "median") {
th1 <- median(maxjulday$jul_val)
}
else {
th1 <- mean(maxjulday$jul_val)
}
th1.2<-list(th1=th1,th2=th2)
return(th1.2)
}
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