daniel_plot_hn

Given a non-replicated model of a factorial plan, this function provides a
half-normal plot of the effects of the model, labeling the main n effects.

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

daniel_plot_hn function

<dl><dt>model</dt>
<dd>a linear model</dd>
<dt>label_n</dt>
<dd>plot the labels of the highest n values</dd>
<dt>line.p</dt>
<dd>vector of quantiles to use when fitting the Q-Q line, defaults
defaults to 0.25 that corresponds to c(0.25, 0.75) on the full set of
quantiles. If you pass a vector of two elements (first MUST be 0), then the
line is fitted through the origin and up to 1 minus the second element quantile</dd>
<dt>...</dt>
<dd>further arguments to <code>gghalfnorm::gghalfnorm()</code></dd></dl>

Arguments

Daniel's plot (half-normal) — daniel_plot_hn

<dl>

<dt>model</dt>
<dd>a linear model</dd>


<dt>label_n</dt>
<dd>plot the labels of the highest n values</dd>


<dt>line.p</dt>
<dd>vector of quantiles to use when fitting the Q-Q line, defaults
defaults to 0.25 that corresponds to c(0.25, 0.75) on the full set of
quantiles. If you pass a vector of two elements (first MUST be 0), then the
line is fitted through the origin and up to 1 minus the second element quantile</dd>


<dt>...</dt>
<dd>further arguments to <code>gghalfnorm::gghalfnorm()</code></dd>

</dl>

daniel_plot_hn: Daniel's plot (half-normal)

Description

Usage

Value

Arguments

See Also

Examples