.plot_cor

Helper function: plot cor and regression outputs

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_cor function

<dl><dt>data</dt>
<dd>Dataframe with the columns item and value.
To plot errorbars, add the columns low and high and set the ci-paramater to TRUE.</dd>
<dt>ci</dt>
<dd>Whether to plot confidence intervals. Provide the columns low and high in data.</dd>
<dt>base</dt>
<dd>The plot base as character or NULL.</dd>
<dt>limits</dt>
<dd>The scale limits.</dd>
<dt>title</dt>
<dd>The plot title as character or NULL.</dd>
<dt>label</dt>
<dd>The y axis label.</dd></dl>

Arguments

Helper function: plot cor and regression outputs — .plot_cor

<dl>

<dt>data</dt>
<dd>Dataframe with the columns item and value.
To plot errorbars, add the columns low and high and set the ci-paramater to TRUE.</dd>


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


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


<dt>limits</dt>
<dd>The scale limits.</dd>


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


<dt>label</dt>
<dd>The y axis label.</dd>

</dl>

.plot_cor: Helper function: plot cor and regression outputs

Description

Usage

Value

Arguments