dt_model

data

the name of the variable to be predicted.

variable.pred

the minsplit parameter of the model.

minsplit

the maxdepth parameter of the model.

maxdepth

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

Oldemar Rodriguez R.

Andres Navarro D.

Diego Jimenez A.

Ariel Arroyo S.

dt_model function

<dl><dt>data</dt>
<dd>dataframe</dd>
<dt>variable.pred</dt>
<dd>the name of the variable to be predicted.</dd>
<dt>minsplit</dt>
<dd>the minsplit parameter of the model.</dd>
<dt>maxdepth</dt>
<dd>the maxdepth parameter of the model.</dd></dl>

Arguments

dt_model — dt_model

<dl>

<dt>data</dt>
<dd>dataframe</dd>


<dt>variable.pred</dt>
<dd>the name of the variable to be predicted.</dd>


<dt>minsplit</dt>
<dd>the minsplit parameter of the model.</dd>


<dt>maxdepth</dt>
<dd>the maxdepth parameter of the model.</dd>

</dl>

dt_model: dt_model

Description

Usage

Arguments

See Also