general_transform_inv {modgo}R Documentation

Inverse gldex transformation

Description

Inverse transforms z values of a vector to simulated values driven by the original dataset using Generalized Lambda and Generalized Poisson percentile functions

Usage

general_transform_inv(x, data = NULL, n_samples, lmbds)

Arguments

x

a vector of z values

data

a data frame with original variables.

n_samples

number of samples you need to produce.

lmbds

a vector with generalized lambdas values

Value

A numeric vector with inverse transformed values

Author(s)

Andreas Ziegler, Francisco M. Ojeda, George Koliopanos

Examples


data("Cleveland",package="modgo")
test_rank <- rbi_normal_transform(Cleveland[,1])
test_generalized_lmbds <- generalizedMatrix(Cleveland, 
                  bin_variables = c("Sex", "HighFastBloodSugar", "CAD"))
test_inv_rank <- general_transform_inv(x = test_rank,
                  data = Cleveland[,1],
                  n_samples = 100,
                  lmbds = test_generalized_lmbds[,1])




[Package modgo version 1.0.1 Index]