pairs_power

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.

Oldemar Rodriguez

regressoR

Regression Data Analysis System

Diego Jimenez A.

pairs_power function

<dl><dt>data</dt>
<dd>A DataFrame</dd>
<dt>decimals</dt>
<dd>Number of numbers after the decimal point.</dd></dl>

Arguments

pairs_power — pairs_power

<dl>

<dt>data</dt>
<dd>A DataFrame</dd>


<dt>decimals</dt>
<dd>Number of numbers after the decimal point.</dd>

</dl>

pairs_power: pairs_power

Description

Usage

Arguments