.plot_bars

Helper function: plot grouped bar chart

internal

Craft polished tables and plots in Markdown reports.
Simply choose whether to treat your data as counts or metrics,
and the package will automatically generate well-designed default tables and plots for you.
Boiled down to the basics, with labeling features and simple interactive reports.
All functions are 'tidyverse' compatible.

Jakob Jünger

volker

High-Level Functions for Tabulating, Charting and Reporting
Survey Data

Henrieke Kotthoff

Chantal Gärtner

.plot_bars function

<dl><dt>data</dt>
<dd>Dataframe with the columns item, value, p, n.</dd>
<dt>category</dt>
<dd>Category for filtering the dataframe.</dd>
<dt>ci</dt>
<dd>Whether to plot error bars for 95% confidence intervals. Provide the columns ci.low and ci.high in data.</dd>
<dt>scale</dt>
<dd>Direction of the scale: 0 = no direction for categories,
-1 = descending or 1 = ascending values.</dd>
<dt>numbers</dt>
<dd>The values to print on the bars: "n" (frequency), "p" (percentage) or both.</dd>
<dt>base</dt>
<dd>The plot base as character or NULL.</dd>
<dt>title</dt>
<dd>The plot title as character or NULL.</dd></dl>

Arguments

Helper function: plot grouped bar chart — .plot_bars

<dl>

<dt>data</dt>
<dd>Dataframe with the columns item, value, p, n.</dd>


<dt>category</dt>
<dd>Category for filtering the dataframe.</dd>


<dt>ci</dt>
<dd>Whether to plot error bars for 95% confidence intervals. Provide the columns ci.low and ci.high in data.</dd>


<dt>scale</dt>
<dd>Direction of the scale: 0 = no direction for categories,
-1 = descending or 1 = ascending values.</dd>


<dt>numbers</dt>
<dd>The values to print on the bars: "n" (frequency), "p" (percentage) or both.</dd>


<dt>base</dt>
<dd>The plot base as character or NULL.</dd>


<dt>title</dt>
<dd>The plot title as character or NULL.</dd>

</dl>

.plot_bars: Helper function: plot grouped bar chart

Description

Usage

Value

Arguments