View source: R/normalizeGaussian_sevaralstations_prec.R
normalizeGaussian_severalstations_prec | R Documentation |
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
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
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
)
x |
value to be converted |
data |
a sample of data on which a non-parametric probability distribution is estimated |
cpf |
cumulative probability distribution. If |
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 |
qnull |
probability of no precipitation occurrence. (It can be a matrix in case |
valmin |
minimum value of precipitation to consider a wet day |
type |
see |
extremes |
logical variable.
If
where |
sample |
information about sample or probability distribution. Default is |
origin_x |
date corresponding to the first row of |
origin_data |
date corresponding to the first row of |
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.
Emanuele Cordano, Emanuele Eccel
normalizeGaussian_prec
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