DoE.wrapper-page {DoE.wrapper} | R Documentation |
This package creates various kinds of designs for (industrial) experiments. It uses, and sometimes enhances, design generation routines from other packages. Initially, response surface designs from package rsm and latin hypercube samples from package lhs have been implemented.
Currently, the package provides classical response surface designs from package
rsm: Box-Behnken designs by Box and Behnken (function bbd.design
and central composite designs by Box and Wilson (ccd.design
) are implemented.
For the latter, there is also a function for augmenting 2-level fractional factorials
into central composite designs (ccd.design
).
Furthermore, latin hypercube samples from package lhs are provided.
It is planned to also provide access to D-optimal designs using package AlgDesign. This may take some time, however.
All functions in this package provide class design
objects,
which are data frames with attributes.
This package is currently under intensive development. Substantial changes are to be expected in the near future.
Ulrike Groemping
Box, G.E.P. and Behnken, D.W. (1960). Some new three-level designs for the study of quantitative variables. Technometrics 2, 455-475.
Box, G.E.P., Hunter, J.S. and Hunter, W.G. (2005, 2nd ed.). Statistics for Experimenters. Wiley, New York.
Box, G.E.P. and Wilson, K.B. (1951). On the Experimental Attainment of Optimum Conditions. J. Royal Statistical Society, B13, 1-45.
NIST/SEMATECH e-Handbook of Statistical Methods, http://www.itl.nist.gov/div898/handbook/pri/section3/pri3361.htm, accessed August 20th, 2009.
Myers, R.H., Montgomery, D.C. and Anderson-Cook, C.M. (2009). Response Surface Methodology. Process and Product Optimization Using Designed Experiments. Wiley, New York.
See also ccd.design
, ccd.augment
, bbd.design
, lhs.design
,
lhs-package
, rsm
, FrF2