plotGOCpatterns

Plots examples of jointly discretizing continuous data based on grids that 
preserve clusters in the original data.

internal

Discretize multivariate continuous data using a grid
to capture the joint distribution that preserves clusters in
original data. It can handle both labeled or unlabeled data.
Both published methods (Wang et al 2020) <doi:10.1145/3388440.3412415>
and new methods are included. Joint grid discretization
can prepare data for model-free inference of association,
function, or causality.

Joe Song

GridOnClusters

Multivariate Joint Grid Discretization

Jiandong Wang

Sajal Kumar

plotGOCpatterns function

<dl><dt>data</dt>
<dd>the input continuous data matrix</dd>
<dt>res</dt>
<dd>the result generated by discretize.jointly</dd></dl>

Arguments

Deprecated: Please use plot() instead — plotGOCpatterns

<dl>

<dt>data</dt>
<dd>the input continuous data matrix</dd>


<dt>res</dt>
<dd>the result generated by discretize.jointly</dd>

</dl>

plotGOCpatterns: Deprecated: Please use `plot()` instead

Description

Usage

Arguments