draw_process_behavior_chart

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

draw_process_behavior_chart function

<dl><dt>data</dt>
<dd>input dataset to be plotted (required)</dd>
<dt>y_var</dt>
<dd>Y variable to be plotted on Y axis (required)</dd>
<dt>grouping_var</dt>
<dd>Variable to group by (optional)</dd>
<dt>limits</dt>
<dd>Logical. If TRUE, natural process limits (control limits) are plotted. By default, it is set to FALSE (optional)</dd>
<dt>interactive</dt>
<dd>Set plot interactivity. By default, it is set to TRUE (optional)</dd></dl>

Arguments

Draw Process Behavior Chart — draw_process_behavior_chart

<dl>

<dt>data</dt>
<dd>input dataset to be plotted (required)</dd>


<dt>y_var</dt>
<dd>Y variable to be plotted on Y axis (required)</dd>


<dt>grouping_var</dt>
<dd>Variable to group by (optional)</dd>


<dt>limits</dt>
<dd>Logical. If TRUE, natural process limits (control limits) are plotted. By default, it is set to FALSE (optional)</dd>


<dt>interactive</dt>
<dd>Set plot interactivity. By default, it is set to TRUE (optional)</dd>

</dl>

draw_process_behavior_chart: Draw Process Behavior Chart

Description

Usage

Value

Arguments