| Menu.bbdTab1 {RcmdrPlugin.DoE} | R Documentation |
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.