gg_groupplot

The <code>gg_groupplot</code> function can be used to create group
difference plots for scientific publication.
This is intended to summarize a continuous outcome (<code>y</code>)
based on a factor ('x') from an input dataset (<code>data</code>).
The plot will include standard ggplot2::geom_boxplot
indicating 25th, median, and 75th percentile for the box
and 1.5 * IQR for the whiskers. Outliers are not
highlighted.
Raw data is displayed with standard ggplot2::geom_point
and lateral but not vertical jittering.
Histograms are shown with half_violin
to the right of each boxplot.
If meanline = = TRUE (default), gray dots will indicate
the mean for each variable (vs. median in boxplot)
connected by a gray line.
This function will drop any NA values.
Requires <code>ggplot2</code> and <code>ggdist</code> libraries.

Create and format tables and APA statistics for
scientific publication. This includes making a 'Table 1'
to summarize demographics across groups, correlation tables
with significance indicated by stars, and extracting formatted
statistical summarizes from simple tests for in-text notation.
The package also includes functions for Winsorizing data based
on a Z-statistic cutoff.

David Pagliaccio

scipub

Summarize Data for Scientific Publication

gg_groupplot function

<dl><dt>data</dt>
<dd>The input dataset.</dd>
<dt>x</dt>
<dd>The grouping factor, e.g. Sex</dd>
<dt>y</dt>
<dd>The numeric outcome variable, e.g. Age</dd>
<dt>meanline</dt>
<dd>Optional indicator of means</dd></dl>

Arguments

Create ggplot to display group differences (box+point+hist) — gg_groupplot

<dl>

<dt>data</dt>
<dd>The input dataset.</dd>


<dt>x</dt>
<dd>The grouping factor, e.g. Sex</dd>


<dt>y</dt>
<dd>The numeric outcome variable, e.g. Age</dd>


<dt>meanline</dt>
<dd>Optional indicator of means</dd>

</dl>

gg_groupplot: Create ggplot to display group differences (box+point+hist)

Description

Usage

Value

Arguments

Examples