Menu.bbdTab1: Basic information for Box-Behnken designs

In RcmdrPlugin.DoE: R Commander Plugin for (Industrial) Design of Experiments

Basic information for Box-Behnken designs

Description

Basic information for Box-Behnken designs

Brief statistical background

Box-Behnken designs have three levels in all factors and are useful for fitting second order polynomials to experimental data based on several quantitative response variables. For more information, look at the help file for function bbd.design from package DoE.wrapper or at bbd from package rsm .

Inputs on Tab Base Settings

name of design

must be a valid name. The design itself is created under this name in the R workspace.

number of factors

must always be specified. It must be an integer number from 3 to 7.
The number of factors must match the number of entries on the Factor Details tab.

block name

name for a block variable (NULL, if no blocks)). Blocks are possible for 4 and 5 factors only (ignored otherwise).

seed

can be provided for reproducing an existing design.

randomization

can be switched off in exceptional situations. Usually, one would not want to do that.

Author(s)

Ulrike Groemping

References

~put references to the literature/web site here ~

See Also

See also bbd.design for the function that does the calculations and bbd for the underlying function from package rsm.

RcmdrPlugin.DoE documentation built on Oct. 7, 2023, 5:07 p.m.