ancova-class

Analysis of Covariance. The class is an extension of "aov"
and "lm". It is identical to the "aov" for a single factor and a single
covariate plus an attribute which contains a <code>"trellis"</code> object.
Four different models are included in the class. See <code><a rd-options="" href="/link/ancova?package=HH&version=3.1-39" data-mini-rdoc="HH::ancova">ancova</a></code>
for the examples.

classes

Support software for Statistical Analysis and Data Display (Second Edition, Springer, ISBN 978-1-4939-2121-8, 2015) and (First Edition, Springer, ISBN 0-387-40270-5, 2004) by Richard M. Heiberger and Burt Holland.  This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis.  The second edition includes redesigned graphics and additional chapters. The authors emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print.  All chapters have exercises.  All functions introduced in the book are in the package.  R code for all examples, both graphs and tables, in the book is included in the scripts directory of the package.

Richard Heiberger

Statistical Analysis and Data Display: Heiberger and Holland

ancova-class function

A virtual Class: No objects may be created from it.

Objects from the Class

Class <code>"aov"</code>, directly.
Class <code>"lm"</code>, by class "aov", distance 2.
Class <code>"mlm"</code>, by class "aov", distance 2, with explicit test and coerce.
Class <code>"oldClass"</code>, by class "aov", distance 3.
Class <code>"oldClass"</code>, by class "aov", distance 4, with explicit test and coerce.

Extends

No methods defined with class "ancova" in the signature.
 S3-type methods are
 <code>"anova.ancova"</code>, <code>"coef.ancova"</code>,
 <code>"coefficients.ancova"</code>, <code>"model.frame.ancova"</code>,
 <code>"plot.ancova"</code>, <code>"predict.ancova"</code>,
 <code>"print.ancova"</code>, <code>"summary.ancova"</code>.
 <code>"plot.ancova(x)"</code> plots a standard lm plot of <code>x</code>.
 <code>"print.ancova(x)"</code> prints the <code>anova(x)</code> and the trellis attribute.
 The remaining methods use <code>NextMethod</code>.

Methods

Analysis of Covariance. The class is an extension of "aov"
and "lm". It is identical to the "aov" for a single factor and a single
covariate plus an attribute which contains a <code>"trellis"</code> object.
Four different models are included in the class. See <code><a rd-options='' href='ancova'>ancova</a></code>
for the examples.

ancova-class: Class "ancova" Analysis of Covariance

Description

Arguments

Objects from the Class

Extends

Methods

References

See Also