plot_tukey_duckworth_paired_test

Powerful graphical displays and statistical tools for structured problem solving and diagnosis.
The functions of the 'sherlock' package are especially useful for applying the process of elimination as a problem diagnosis technique.
The 'sherlock' package was designed to seamlessly work with the 'tidyverse' set of packages and provides a collection of graphical displays
built on top of the 'ggplot' and 'plotly' packages, such as different kinds of small multiple plots as well as helper functions such as
adding reference lines, normalizing observations, reading in data or saving analysis results in an Excel file.
References:
David Hartshorne (2019, ISBN: 978-1-5272-5139-7).
Stefan H. Steiner, R. Jock MacKay (2005, ISBN: 0873896467).

Gabor Szabo

sherlock

Graphical Displays for Structured Problem Solving and Diagnosis

plot_tukey_duckworth_paired_test function

<dl><dt>data</dt>
<dd>input dataset (required)</dd>
<dt>y_var</dt>
<dd>Y variable of interest (required)</dd>
<dt>x_vars</dt>
<dd>X variables of interest (required)</dd>
<dt>arrows</dt>
<dd>Set whether to display arrows in the plot. By default, it is set to FALSE (optional)</dd></dl>

Arguments

Plot Tukey-Duckworth Paired Test — plot_tukey_duckworth_paired_test

<dl>

<dt>data</dt>
<dd>input dataset (required)</dd>


<dt>y_var</dt>
<dd>Y variable of interest (required)</dd>


<dt>x_vars</dt>
<dd>X variables of interest (required)</dd>


<dt>arrows</dt>
<dd>Set whether to display arrows in the plot. By default, it is set to FALSE (optional)</dd>

</dl>

plot_tukey_duckworth_paired_test: Plot Tukey-Duckworth Paired Test

Description

Usage

Value

Arguments