anamFit: Fit an empirical Gaussian Anamorphosis

In garciapintado/rDAF: An R Data Assimilation Framework

Description

Fit an empirical Gaussian Anamorphosis

Usage

anamFit(x, extrapolate=TRUE, ndisc=101, useRGeostats=FALSE,
        xlim=c(-Inf,Inf), keepMoments=TRUE)

Arguments

x	REAL, input vector
extrapolate	LOGICAL, whether to go beyond input limits by multiplying the original range by two
ndisc	INTEGER, number of steps used to discretize the range of raw values, This parameter is used only for empirical anamorphosis and if the anamorphosis is done via anam.fit in package RGeostats
useRGeostats	LOGICAL, where to call RGeostats::anam.fit
xlim	REAL, bounds for the raw variables. For example, xlim[1]==0 prevents negative values in the back-transformed raw values
keepMoments	LOGICAL, whether to preserve the mean and standard deviation in the transformed variable vector with respect to the raw

Examples

 xraw <- rlnorm(100)
 xGA <- anamFit(xraw)
 xgau <- approx(xGA[,'r'], xGA[,'g'], xraw)$y
 #hist(xraw, nclass=25)
 #hist(xgau, nclass=25)

garciapintado/rDAF documentation built on May 25, 2019, 7:26 p.m.