Inverse_transformation_variables {modgo}R Documentation

Inverse transform variables

Description

This function is used internally by modgo. It transforms all variables to their original scale.

Usage

Inverse_transformation_variables(
  data,
  df_sim,
  variables,
  bin_variables,
  categ_variables,
  count_variables,
  n_samples,
  generalized_mode,
  generalized_mode_lmbds
)

Arguments

data

a data frame with original variables.

df_sim

data frame with transformed variables.

variables

variables a character vector indicating which columns of data should be used.

bin_variables

a character vector listing the binary variables.

categ_variables

a character vector listing the ordinal categorical variables.

count_variables

a character vector listing the count as a sub sub category of categorical variables. Count variables should be part of categorical variables vector. Count variables are treated differently when using gldex to simulate them.

n_samples

Number of rows of each simulated data set. Default is the number of rows of data.

generalized_mode

A logical value indicating if generalized lambda/poisson distributions or set up thresholds will be used to generate the simulated values

generalized_mode_lmbds

A matrix that contains lambdas values for each of the variables of the data set to be used for either Generalized Lambda Distribution Generalized Poisson Distribution or setting up thresholds

Value

A data frame with all inverse transformed values.

Author(s)

Francisco M. Ojeda, George Koliopanos


[Package modgo version 1.0.1 Index]