Definitive Screening Designs
dsd.m applies the algorithm of Jones and Nachtsheim (2013) to generate a Definitive Screening Design, a modern class of efficient experimental designs for continuous and categorical factors. This version of the code has been translated from, and validated against, the equivalent JMP10 addin.
Reference:
Jones, B and Nachtsheim, C. (2013), "Definitive Screening Designs with Added Two-Level Categorical Factors" Journal of Quality Technology, 45, 121-129
Usage: f=dsd(nf,ncat,designChoice)
Inputs: nf: Number of continuous factors
ncat: number of categorical factors
designChoice:
1 or 'DSD': De-alias all two-factor interactions with
categorical factors. (Default)
2 or 'ORTH': Make orthogonal main-effects plan.
Outputs: f: design matrix (-1,0,or 1) with a column for each of the
three level continuous variables, 1 or 2 for two level
categorical variables.
Cite As
Jacob Albrecht (2024). Definitive Screening Designs (https://www.mathworks.com/matlabcentral/fileexchange/50057-definitive-screening-designs), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Industrial Statistics >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |