Box Behnken Design Software Free Download
Above is a representation of a classic Box-Behnken (BB) design for 3 factors.
Feb 27, 2020 Peng, X., Yang, G., Shi, Y. Box–Behnken design based statistical modeling for the extraction and physicochemical properties of pectin from sunflower heads and the comparison with. Design Wizards to help you select the best design for the problem Support for Full/Fractional Factorial, Central Composite, Box-Behnken, Plackett-Burman, Custom, and D-Optimal Designs Least squares and Logistic Regression Analysis.
Numeric Factors: How many continuous numeric factors are involved in theexperiment?
Box Behnken Design software, free download Free
Categoric Factors: How may discrete or categoric factors are involved in theexperiment?
Note
For BB’s the number of runs required for the numeric factors will bemultiplied by the number of categoric combinations. If two categoric factorshaving three levels each are added to this design the number of runs will bemultiplied by nine. Consider optimal designs when you have both numeric andcategoric factors.
Blocks: Some Box-Behnken designs can be blocked. The number of blocksdepends on the number of factors. If you need blocks in your design and the BBdesign cannot do what you need, switch to an optimal design.
Center Points: By default there will be some center points in a BB design,the number varies somewhat with the number of factors and blocks. Adding morecenter points is okay. Removing center points will adversely affect the design’sprecision capability.
The
pyDOE
package is designed to help thescientist, engineer, statistician, etc., to construct appropriateexperimental designs.
Hint
All available designs can be accessed after a simple import statement:
Capabilities¶
The package currently includes functions for creating designs for anynumber of factors:
- Factorial Designs
- General Full-Factorial (fullfact)
- 2-Level Full-Factorial (ff2n)
- 2-Level Fractional-Factorial (fracfact)
- Plackett-Burman (pbdesign)
- Response-Surface Designs
- Box-Behnken (bbdesign)
- Central-Composite (ccdesign)
- Randomized Designs
- Latin-Hypercube (lhs)
Installation and download¶
Important note¶
The installation commands below should be run in a DOS or Unixcommand shell (not in a Python shell).
Under Windows (version 7 and earlier), a command shell can be obtainedby running
cmd.exe
(through the Run… menu item from the Startmenu). Under Unix (Linux, Mac OS X,…), a Unix shell is available whenopening a terminal (in Mac OS X, the Terminal program is found in theUtilities folder, which can be accessed through the Go menu in theFinder).
Automatic install or upgrade¶
One of the automatic installation or upgrade procedures below might workon your system, if you have a Python package installer or use certainLinux distributions.
Under Unix, it may be necessary to prefix the commands below with
sudo
, so that the installation program has sufficient accessrights to the system.
If you have pip, you can try to installthe latest version with
If you have setuptools, you can try to automatically install orupgrade this package with
Manual download and install¶
Box Behnken Design Software free. download full
Alternatively, you can simply download the package archive from thePython Package Index (PyPI) and unpack it. The package can then beinstalled by going into the unpacked directory(
pyDOE-...
), and running the provided
setup.py
program with
or, for an installation in the user Python library (no additional accessrights needed):
or, for an installation in a custom directory
my_directory
:
or, if additional access rights are needed (Unix):
You can also simply move the
pyDOE-py*
directorythat corresponds best to your version of Python to a location thatPython can import from (directory in which scripts using
pyDOE
are run, etc.); the chosen
pyDOE-py*
directory should then be renamed
pyDOE
. Python 3 users should then run
2to3-w.
from inside this directory so as to automatically adapt the code toPython 3.
Source code¶
Box Behnken Design software, free download Mac
The latest, bleeding-edge but working codeand documentation source areavailable on GitHub.
Contact¶
Any feedback, questions, bug reports, or success stores shouldbe sent to the author. I’d love to hear from you!
Credits¶
This code was originally published by the following individuals for use withScilab:
- Copyright (C) 2012 - 2013 - Michael Baudin
- Copyright (C) 2012 - Maria Christopoulou
- Copyright (C) 2010 - 2011 - INRIA - Michael Baudin
- Copyright (C) 2009 - Yann Collette
- Copyright (C) 2009 - CEA - Jean-Marc Martinez
- Website: forge.scilab.org/index.php/p/scidoe/sourcetree/master/macros
Much thanks goes to these individuals.
License¶
This package is provided under two licenses:
- The BSD License (3-Clause)
- Any other that the author approves (just ask!)
References¶
There is also a wealth of information on the NIST website about thevarious design matrices that can be created as well as detailed informationabout designing/setting-up/running experiments in general.