Gtrans: G-trasformation function

In fanne-stat/radviz3d: A package for 3D radial visualization

G-trasformation function

Description

function to transform discrete or mixture of discrete and continuous datasets to continuous datasets with marginal normal(0,1).

Usage

Gtrans(data, cl = NULL, VariableSelection = FALSE, p_threshold = 0.05, ...)

Arguments

data	The dataset to be transforms. The dataset can be discretein all columns, continuous in all columns or a mixture of continuous columns and discrete columns.
cl	The class information of the dataset. This is not required when VariableSelection = FALSE.
VariableSelection	Logical. If true, anova will be performed to each variable to see whether there is a difference among groups for that variable. The varaible associated with Bonferroni adjusted p-value larger than a threshold will be removed.
p_threshold	The threshold for adjusted p-value in variable selection when VariableSelection = TRUE.

Value

A transformed continuous dataset with the same copula as the input dataset and margianl normal(0,1).

fanne-stat/radviz3d documentation built on Aug. 24, 2022, 9:50 p.m.