scale_y_pareto

<code>scale_y_pareto()</code> configures a primary y-axis for absolute values and a
secondary right-side axis that maps cumulative totals to percentages.

A number of functions to create and analyze factorial plans according to the Design of Experiments (DoE) approach, with the addition of some utility function to perform some statistical analyses. DoE approach follows the approach in "Design and Analysis of Experiments" by Douglas C. Montgomery (2019, ISBN:978-1-119-49244-3). The package also provides utilities used in the course "Analysis of Data and Statistics" at the University of Trento, Italy.

Paolo Bosetti

adas.utils

Design of Experiments and Factorial Plans Utilities

scale_y_pareto function

<dl><dt>sum_abs</dt>
<dd>Total absolute value used for percentage conversion, typically
<code>sum(abs(y))</code> from the source data. When <code>NULL</code> (default), the secondary
axis is scaled to the current primary-axis maximum.</dd>
<dt>name</dt>
<dd>Primary y-axis label.</dd>
<dt>percent_name</dt>
<dd>Secondary y-axis label.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code><a href="https://ggplot2.tidyverse.org/reference/scale_continuous.html">ggplot2::scale_y_continuous()</a></code>.</dd></dl>

Arguments

Pareto y-scale with cumulative percentage axis — scale_y_pareto

<dl>

<dt>sum_abs</dt>
<dd>Total absolute value used for percentage conversion, typically
<code>sum(abs(y))</code> from the source data. When <code>NULL</code> (default), the secondary
axis is scaled to the current primary-axis maximum.</dd>


<dt>name</dt>
<dd>Primary y-axis label.</dd>


<dt>percent_name</dt>
<dd>Secondary y-axis label.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code><a href='https://ggplot2.tidyverse.org/reference/scale_continuous.html'>ggplot2::scale_y_continuous()</a></code>.</dd>

</dl>

scale_y_pareto: Pareto y-scale with cumulative percentage axis

Description

Usage

Arguments

Details