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_precR/normalizeGaussian_sevaralstations_prec.R
normalizeGaussian_severalstations_prec.RdDEPRECATED 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
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
)value to be converted
a sample of data on which a non-parametric probability distribution is estimated
cumulative probability distribution. If NULL (default) is calculated as ecdf(data)
mean (expected value) of the normalized random variable. Default is 0.
standard deviation of the normalized random variable. Default is 1.
logical value. If TRUE the function works inversely (the opposite way). Default is FALSE.
probability of no precipitation occurrence. (It can be a matrix in case sample="monthly"
minimum value of precipitation to consider a wet day
see quantile
logical variable.
If TRUE (default) the probability or frequency is multiplied by $$\frac{N}{N+1}$$ where \(N\) is the length of data
information about sample or probability distribution. Default is NULL
date corresponding to the first row of x
date corresponding to the first row of data
a matrix or a data.frame with the normalized variable or its inverse
In the version 1.2.5 of RMAWGEN This function is deprecated and not used.