switch_cat_repr

Categorical data with n observations and R levels can typically be represented as two forms in R:
a factor with length n, or an n by K indicator matrix with elements being 0 or 1.
This function is to switch the form of a categorical object from one to the another.

Semi-distance and mean-variance (MV) index are proposed to measure the dependence between a categorical random variable and a continuous variable.
Test of independence and feature screening for classification problems can be implemented via the two dependence measures.
For the details of the methods, see Zhong et al. (2023) <doi:10.1080/01621459.2023.2284988>;
Cui and Zhong (2019) <doi:10.1016/j.csda.2019.05.004>;
Cui, Li and Zhong (2015) <doi:10.1080/01621459.2014.920256>.

Zhuoxi Li

semidist

Measure Dependence Between Categorical and Continuous Variables

Wei Zhong

Wenwen Guo

Hengjian Cui

Runze Li

switch_cat_repr function

<dl><dt>obj</dt>
<dd>an object representing categorical data,
either a factor or an indicator matrix with each row representing an observation.</dd></dl>

Arguments

Switch the representation of a categorical object — switch_cat_repr

<dl>

<dt>obj</dt>
<dd>an object representing categorical data,
either a factor or an indicator matrix with each row representing an observation.</dd>

</dl>

switch_cat_repr: Switch the representation of a categorical object

Description

Usage

Value

Arguments