e_global_gauge

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.

Oldemar Rodriguez

predictoR

Predictive Data Analysis System

Diego Jiménez

e_global_gauge function

<dl><dt>value</dt>
<dd>a number specifying the value of the graph.</dd>
<dt>label</dt>
<dd>a character specifying the title to use on legend.</dd>
<dt>color1</dt>
<dd>a color for the gauge.</dd>
<dt>color2</dt>
<dd>a shadowColor for the gauge.</dd></dl>

Arguments

Joseline Quiros &lt;joseline.quiros@promidat.com&gt;

Author

Gauge Plot — e_global_gauge

<dl>

<dt>value</dt>
<dd>a number specifying the value of the graph.</dd>


<dt>label</dt>
<dd>a character specifying the title to use on legend.</dd>


<dt>color1</dt>
<dd>a color for the gauge.</dd>


<dt>color2</dt>
<dd>a shadowColor for the gauge.</dd>

</dl>

e_global_gauge: Gauge Plot

Description

Usage

Value

Arguments

Author

Examples