ggTukey.data.frame

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

ggTukey.data.frame function

<dl><dt>obj</dt>
<dd>a data frame</dd>
<dt>formula</dt>
<dd>a formula to be used in the aov call</dd>
<dt>which</dt>
<dd>the index of the comparison. Used when the formula in the
undelying aov call has more than one term.</dd>
<dt>splt</dt>
<dd>a formula to split the data frame</dd>
<dt>...</dt>
<dd>further parameters passed to <code>TukeyHSD</code></dd></dl>

Arguments

ggTukey for data.frame — ggTukey.data.frame

<dl>

<dt>obj</dt>
<dd>a data frame</dd>


<dt>formula</dt>
<dd>a formula to be used in the aov call</dd>


<dt>which</dt>
<dd>the index of the comparison. Used when the formula in the
undelying aov call has more than one term.</dd>


<dt>splt</dt>
<dd>a formula to split the data frame</dd>


<dt>...</dt>
<dd>further parameters passed to <code>TukeyHSD</code></dd>

</dl>

ggTukey.data.frame: ggTukey for data.frame

Description

Usage

Value

Arguments

Examples