blocking: Blocking
In qualityTools: Statistical Methods for Quality Science

Description Usage Arguments Value Note Author(s) References See Also Examples

Blocks a given factorial or response surface design.

1	blocking(fdo, blocks, BoR = FALSE, random.seed, useTable = "rsm", gen)

`fdo`	needs to be an object of class `facDesign`.
`blocks`	numerical value giving the number of blocks.
`BoR`	logical value indicating whether the replicates should be blocked or not. By default `BoR` is set to ‘FALSE’.
`random.seed`	numerical variable for `set.seed` to generate repeatable results for randimization within blocks.
`useTable`	character indicating which table to use. The follwing options will be accepted: “rms” - table from reference “calc” - table calculated by qualityTools
`gen`	giving the generator that will be used.

The function blocking() returns a an object of class facDesign with blocking structure.

blocking is still buggy at this time and Blocking on Replicates is not yet implemented and Blocking requires k >= 3 factors. This will change soon.
For an example in context which shows the effect of applying blocking() to an object of class facDesign, please read the vignette for the package qualityTools at http://www.r-qualitytools.org/html/Improve.html.

Thomas Roth thomas.roth@tu-berlin.de

MYERS, Raymond H.; MONTGOMERY, Douglas C.; ANDERSON-COOK, Christine M.: Response Surface Methodology. New York: WILEY ,2009

facDesign
http://www.r-qualitytools.org/html/Improve.html

#create a 2^3 full factorial design
fdo = facDesign(k = 3)

#make it a design with 2 blocks
blocking(fdo, 2)

#create a response surface design for 3 factors
fdo = rsmDesign(k = 3)

#make it a design with 3 blocks (i.e. 1 block for star part and 2 blocks 
#for the cube part)
blocking(fdo, 3)