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

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 occurrence. (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

See Also

normalizeGaussian_prec

RMAWGEN documentation built on Dec. 12, 2019, 9:07 a.m.