MRPWorkflow-method-covar_hist

covar_hist

The <code>covar_hist()</code> method creates histogram plots
showing the distribution of geographic covariates across ZIP codes. Refer to the
<a href="https://mrp-interface.github.io/shinymrp/articles/data-prep#geographic-identifiers-and-covariates">More on data preparation</a> for their definitions.
This method is only available for <a href="https://mrp-interface.github.io/shinymrp/articles/data-prep#data-modules">COVID data</a>.
Check out the <a href="https://mrp-interface.github.io/shinymrp/articles/example#covar_hist">More examples of R6 classes</a>
vignette for usage examples.

Dual interfaces, graphical and programmatic, designed for
intuitive applications of Multilevel Regression and Poststratification (MRP).
Users can apply the method to a variety of datasets, from electronic health records
to sample survey data, through an end-to-end Bayesian data analysis workflow.
The package provides robust tools for data cleaning, exploratory analysis,
flexible model building, and insightful result visualization. For more details, see
Si et al. (2020) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2020002/article/00003-eng.pdf?st=iF1_Fbrh>
and Si (2025) <doi:10.1214/24-STS932>.

Toan Tran

shinymrp

Interface for Multilevel Regression and Poststratification

Jonah Gabry

Yajuan Si

MRPWorkflow-method-covar_hist function

<dl><dt>covar</dt>
<dd>Character string specifying the geographic covariate. Options are
<code>"college"</code>, <code>"poverty"</code>, <code>"employment"</code>, <code>"income"</code>, <code>"urbanicity"</code>, and <code>"adi"</code>.</dd>
<dt>file</dt>
<dd>Optional file path to save the plot.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code><a href="https://ggplot2.tidyverse.org/reference/ggsave.html">ggsave</a></code>, such as <code>width</code> and <code>height</code>.</dd></dl>

Arguments

The <code>covar_hist()</code> method creates histogram plots
showing the distribution of geographic covariates across ZIP codes. Refer to the
<a href='https://mrp-interface.github.io/shinymrp/articles/data-prep#geographic-identifiers-and-covariates'>More on data preparation</a> for their definitions.
This method is only available for <a href='https://mrp-interface.github.io/shinymrp/articles/data-prep#data-modules'>COVID data</a>.
Check out the <a href='https://mrp-interface.github.io/shinymrp/articles/example#covar_hist'>More examples of R6 classes</a>
vignette for usage examples.

Create geographic covariate distribution histogram — MRPWorkflow-method-covar_hist

<dl>

<dt>covar</dt>
<dd>Character string specifying the geographic covariate. Options are
<code>"college"</code>, <code>"poverty"</code>, <code>"employment"</code>, <code>"income"</code>, <code>"urbanicity"</code>, and <code>"adi"</code>.</dd>


<dt>file</dt>
<dd>Optional file path to save the plot.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code><a href='https://ggplot2.tidyverse.org/reference/ggsave.html'>ggsave</a></code>, such as <code>width</code> and <code>height</code>.</dd>

</dl>

MRPWorkflow-method-covar_hist: Create geographic covariate distribution histogram

Description

Usage

Value

Arguments