DoE.base-package {DoE.base} | R Documentation |
This package creates full factorial designs and designs from orthogonal arrays. In addition, it provides some base utilities like an exporting function for the DoE packages FrF2, DoE.wrapper and RcmdrPlugin.DoE (the latter two are still under development and not on CRAN).
Parts of the package are currently in a somewhat experimental stage, in particular the orthogonal array functionality and the exporting facility.
Parts of the package are currently in a somewhat experimental stage, in particular the orthogonal array functionality and the exporting facility. Please contact me, if you have suggestions.
This package designs Full Factorial experiments and main effects experiments based on orthogonal arrays.
Some aspects of functions fac.design
and 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.
This package is used as a basis for packages FrF2, DoE.wrapper and
RcmdrPlugin.DoE (the latter two are not yet published).
Package FrF2 relies on fac.design
for full factorials in 2-level factors.
This functionality has been sufficiently tested and is not considered experimental.
Ulrike Groemping
Maintainer: Ulrike Groemping <groemping@bht-berlin.de>
Chambers, J.M. and Hastie, T.J. (1993). Statistical Models in S, Chapman and Hall, London.
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.
Functions fac.design
, oa.design
for generating designs
and class design
which is utilized also by packages
FrF2 and DoE.wrapper.
Furthermore, there are various utility functions like export.design
or
add.response
and functions cross.design
or param.design
for combining designs.
Finally, several methods for class design objects
are provided,
especially also functions formula.design
and lm.design
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!).