planor
Generation of regular fractional factorial designs |
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The user invokes first the functions planor.factors and planor.model
to describe its experiment.
The function planor.designkey searches
for a design key in a possibly mixed factorial context.
A design from one of the solutions can be built by using
planor.design.
summary.designkey summarises the design properties from a
design key matrix.
Other functions:
- planor.randomize randomizes a factorial design according
to a specified block structure formula.
- alias displays the design keys matrices and the factorial effects confounded with the mean.
This package is developed in the MaIAGE research laboratory, INRA.
# ---------------------------------------- # EXEMPLE 1 PAGE 7 FROM THE PLANOR MANUAL # ---------------------------------------- # Four 3-level treatment factors and one 3-level block factor # Model: block+A+B+C+D # Estimate: A+B+C+D # N=3^3 F0 <- planor.factors( factors=c(LETTERS[1:4], "block"), nlevels=rep(3,5) ) M0 <- planor.model( model=~block+(A+B+C+D)^2, estimate=~A+B+C+D ) K0 <- planor.designkey(factors=F0, model=M0, nunits=3^3, base=~A+B+C, max.sol=2) P0 <- planor.design(key=K0, select=2) summary(K0[1])}
Licence
These packages are distributed under the terms of the GNU General
Public License (GPL version 2 or later), WITHOUT ANY WARRANTY.
A copy of the GNU General Public License GPL-2 is available at
http://www.r-project.org/Licenses.
Requirements
R
system, a C++ compiler,
the R-package conf.design, and, for planor only,
biganalytics and bigmemory R-packages.
Documentation
An
introduction and a more complete manual
are provided in the directory doc of the packages.
Download from CRAN's site or last version planor_0.2-4.tar.gz
Copyright © 2015, INRA. All rights reserved.