normalizeGaussian: Converts a random variable 'x' extracted by a population...
In RMAWGEN: Multi-Site Auto-Regressive Weather GENerator

Description Usage Arguments Value Author(s)

Converts a random variable x extracted by a population represented by the sample data or sample to a normally-distributed variable with assigned mean and standard deviation or vice versa in case inverse is TRUE

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normalizeGaussian(x = 0, data = x, cpf = NULL, mean = 0, sd = 1,
  inverse = FALSE, step = NULL, prec = 10^-4, type = 3,
  extremes = TRUE, sample = NULL)

`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`.
`step`	vector of values in which step discontinuities of the cumulative probability function occur. Default is `NULL`
`prec`	amplitude of the neighbourhood of the step discontinuities where cumulative probability function is treated as non-continuous.
`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`