# normalizeGaussian_severalstations_prec: DEPRECATED Converts several samples 'x' random variable... In RMAWGEN: Multi-Site Auto-Regressive Weather GENerator

## Description

DEPRECATED Converts several samples x random variable (daily precipitation values) extracted by populations represented by the columns of data respectively or sample to a normally-distributed samples with assinged mean and standard deviation or vice versa in case inverse is TRUE using the function normalizeGaussian_prec

## Usage

 1 2 3 normalizeGaussian_severalstations_prec(x, data = x, cpf = NULL, mean = 0, sd = 1, inverse = FALSE, qnull = NULL, valmin = 0.5, type = 3, extremes = TRUE, sample = NULL, origin_x = NULL, origin_data = NULL) 

## Arguments

 x value 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. qnull probability of no precipitation occurence. (It can be a matrix in case sample="monthly" valmin minimum value of precipitation to consider a wet day 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 information about sample or probability distribution. Default is NULL origin_x date corresponding to the first row of x origin_data date corresponding to the first row of data

## Value

a matrix or a data.frame with 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_prec