R/Hdr_LN.R

In cdv04/ACTR:

#' Calculating HDR th  of data from log normal distribution
#' @param edr10 A dataframe containing the edr10 for all the var_group  we want to calculate hdr th
#' @param th The desired probability (i.e. 0.05 for HDR5)
#' @examples
#' Hdr_LN(edr10_obs,0.05)
#' @return a data frame containing the hdr th calculated from empirical distribution
#' @export

Hdr_LN <- function (edr10.df,th)
{
    library(dplyr)

    dat <- edr10.df
    # set var_grp
    VarGrpName<-names(dat)[1]


    # arrange edr10 by Var Group alphabetic oredr
    dat<- arrange (dat, dat[,1])

    # put into list , 1 vargroup level by element
    dat.ls <- split(dat,droplevels(dat[,1]) )


    #####################################################################################
    ## calculating hdr th
    ##

    N <- length(dat.ls)
    hdr <- vector(length=N) # initialize hdr5 vector

    VarGrpName<-vector(length=N)

    for ( i in 1 : N)
    {

      dat_tmp <- dat.ls[[i]]
      wMu <- est_para(dat_tmp)[1,2]
      wSigma <- est_para(dat_tmp)[1,3]
      hdr[i] <- 10^qnorm(th, wMu, wSigma)
      VarGrpName[i] <- as.character(dat_tmp[1,1])

    }


    hdr <- data.frame(VarGrpName, hdr)
    names( hdr)[1] <- names(dat)[1]
    names(hdr)[2] <- paste0("hdr",th*100 )

  return(hdr)
}