summary_indices

summarizes a variable by returning the minimum, first quartile, third quartile and maximum value.

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.

summary_indices function

<dl><dt>data</dt>
<dd>a numeric vector.</dd></dl>

Arguments

summary_indices — summary_indices

<dl>

<dt>data</dt>
<dd>a numeric vector.</dd>

</dl>

summary_indices: summary_indices

Description

Usage

Arguments

Examples