catBinner

`catBinner` converts the cross-tabulation of two
categorical variables into bins which work with all of the
functionality on bins built into `AssocBin`.

An iterative implementation of a recursive binary partitioning algorithm to measure pairwise dependence with a modular design that allows user specification of the splitting logic and stop criteria. Helper functions provide suggested versions of both and support visualization and the computation of summary statistics on final binnings. For a complete description of the functionality and algorithm, see Salahub and Oldford (2023) <doi:10.48550/arXiv.2311.08561>.

Chris Salahub

AssocBin

Measuring Association with Recursive Binning

catBinner function

<dl><dt>x</dt>
<dd>factor vector for the first categorical variable</dd>
<dt>y</dt>
<dd>factor vector for the second categorical variable</dd>
<dt>dropPoints</dt>
<dd>logical; should points be dropped from final
bins?</dd></dl>

Arguments

Author

Binning of categorical variable pairs — catBinner

<dl>

<dt>x</dt>
<dd>factor vector for the first categorical variable</dd>


<dt>y</dt>
<dd>factor vector for the second categorical variable</dd>


<dt>dropPoints</dt>
<dd>logical; should points be dropped from final
bins?</dd>

</dl>

catBinner: Binning of categorical variable pairs

Description

Usage

Value

Arguments

Author

Details