This package creates full factorial designs and designs from orthogonal arrays. In addition, it provides some basic utilities like an exporting function for the DoE packages FrF2, DoE.wrapper and RcmdrPlugin.DoE, and some diagnostics for general orthogonal arrays (generalized word length calculations).
The package is still in under development phase.
Details about combining designs are particularly likely to be changed in the future
cross.design). Please contact me, if you have suggestions.
This package designs full factorial experiments (function
and experiments based on orthogonal arrays (
Some aspects of functions
oa.design have been
modeled after the functions of the same name given in Chambers and Hastie (1993)
(e.g. for the option
factor.names or for outputting a data frame
with attributes). However, S compatibility has not been considered in
devising this package.
The orthogonal arrays underlying function
oa.design are mainly taken from
Kuhfeld (2009). While the
arrays generally guarantee estimability of main effects in case there are no
(or negligible) active interactions, some of them can also be used for
designs for which some interactions are to be estimated, if only few of the design
columns are used for experimentation. Optimization for such purposes
and check of fitness for such purposes is supported,
The package provides class
design for use also by packages
FrF2, DoE.wrapper and RcmdrPlugin.DoE. Furthermore, it provides
utilities for printing, plotting, summarizing, exporting and combining
Package FrF2 relies on function
for full factorials in 2-level factors.
Thanks are due to Peter Theodor Wilrich for various useful suggestions in the early phase of this project!
Maintainer: Ulrike Groemping <[email protected]>
Chambers, J.M. and Hastie, T.J. (1993). Statistical Models in S, Chapman and Hall, London.
Groemping, U. (2018). R Package DoE.base for Factorial Designs. Journal of Statistical Software 85(5), 1–41. https://www.jstatsoft.org/issue/view/v085.
Hedayat, A.S., Sloane, N.J.A. and Stufken, J. (1999) Orthogonal Arrays: Theory and Applications, Springer, New York.
Kuhfeld, W. (2009). Orthogonal arrays. Website courtesy of SAS Institute http://support.sas.com/techsup/technote/ts723.html.
oa.design for generating designs,
and various functions (
generalized.word.length) for optimizing and checking
a designs properties,
design which is utilized also by packages
FrF2 and DoE.wrapper.
Furthermore, there are various utility functions like
add.response and functions
for combining designs.
methods for class design objects
especially also functions
for automatic generation of linear models (but beware: these are convenience functions
that provide a quick first look but NOT necessarily the best statistical approach to analysis!).
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.