createPlot

Creates various types of plots for data visualization in the StepReg Shiny application.

A web-based 'shiny' interface for the 'StepReg' package enables stepwise regression analysis across linear, generalized linear (including logistic, Poisson, Gamma, and negative binomial), and Cox models. It supports forward, backward, bidirectional, and best-subset selection under a range of criteria. The package also supports stepwise regression to multivariate settings, allowing multiple dependent variables to be modeled simultaneously. Users can explore and combine multiple selection strategies and criteria to optimize model selection. For enhanced robustness, the package offers optional randomized forward selection to reduce overfitting, and a data-splitting workflow for more reliable post-selection inference. Additional features include logging and visualization of the selection process, as well as the ability to export results in common formats.

Junhui Li

StepRegShiny

Graphical User Interface for 'StepReg'

Kai Hu

Xiaohuan Lu

Sushmita N Nayak

Cesar Bautista Sotelo

Michael A Lodato

Wenxin Liu

Lihua Julie Zhu

createPlot function

<dl><dt>plot_type_value</dt>
<dd>Character string specifying the type of plot to create.
Options include: "Bar plot", "Box plot", "Correlation plot", "Density plot",
"Dot plot", "Histogram", "QQ plot", "Scatter and Line plot".</dd>
<dt>var_plot_value</dt>
<dd>Character vector of variable names to plot.</dd>
<dt>data_value</dt>
<dd>Data frame containing the data to plot.</dd></dl>

Arguments

Create Plot Function — createPlot

<dl>

<dt>plot_type_value</dt>
<dd>Character string specifying the type of plot to create.
Options include: "Bar plot", "Box plot", "Correlation plot", "Density plot",
"Dot plot", "Histogram", "QQ plot", "Scatter and Line plot".</dd>


<dt>var_plot_value</dt>
<dd>Character vector of variable names to plot.</dd>


<dt>data_value</dt>
<dd>Data frame containing the data to plot.</dd>

</dl>

createPlot: Create Plot Function

Description

Usage

Value

Arguments