# normalizeGaussian_prec: Converts precipitation values to "Gaussinized"... In RMAWGEN: Multi-Site Auto-Regressive Weather GENerator

## Description

Converts precipitation values to "Gaussinized" normally-distributed values taking into account the probability of no precipitation occurences. values or vice versa in case inverse is TRUE

## Usage

 1 2 3 normalizeGaussian_prec(x = 0, data = x, cpf = NULL, mean = 0, sd = 1, inverse = FALSE, type = 3, extremes = TRUE, sample = NULL, qnull = 0, valmin = 1) 

## Arguments

 x value or vector of values to be converted data a sample of data on which a non-parametric probability distribution is estimated cpf cumulative probability distribution. If NULL (default) is calculated as ecdf(data) mean mean (expected value) of the normalized random variable. Default is 0. sd standard deviation of the normalized random variable. Default is 1. inverse logical value. If TRUE the function works inversely (the opposite way). Default is FALSE. type see quantile extremes logical variable. If TRUE (default) the probability or frequency is multiplied by \frac{N}{N+1} where N is the length of data sample a character string or NULL containing sample or probability distribution information. Default is NULL qnull probability of no precipitation occurence valmin minimum value of precipitation to consider a wet day

## Value

the normalized variable or its inverse

## Note

In the version 1.2.5 of RMAWGEN This function is deprecated and not used.

## Author(s)

Emanuele Cordano, Emanuele Eccel

normalizeGaussian
  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 library(RMAWGEN) NDATA <- 1000 occurence <- as.logical(runif(NDATA)>0.5) prec <- rexp(NDATA,rate=1/3) prec[!occurence] <- 0 valmin <- 0.5 #0.01 x <- normalizeGaussian_prec(x=prec,valmin=valmin) prec2 <- normalizeGaussian_prec(x=x,data=prec,valmin=valmin,inverse=TRUE) qqplot(prec,prec2) occurence3 <- as.logical(runif(NDATA)>0.5) prec3 <- rexp(NDATA,rate=1/3) prec3[!occurence3] <- 0 x3 <- normalizeGaussian_prec(x=prec3,valmin=valmin) qqplot(x,x3) abline(0,1)