Design of Experiments Toolbox
The goal of this toolbox is to provide design of experiments techniques, along
with functions for model building.
Features
Designs
* scidoe_bbdesign — Box-Benhken design of experiments
* scidoe_ccdesign — A Central Composite Design of Experiments
* scidoe_ff2n — Full factorial design with 2 levels
* scidoe_fracfact — Fractional Factorial Design
* scidoe_fullfact — Full factorial design
* scidoe_lhsdesign — Latin Hypercube Sampling
* scidoe_star — Produces a star point design of experiments
Models
* scidoe_multilinreg — Multivariate linear regression
* scidoe_regress — Multiple linear regression
* scidoe_regressprint — Print linear regression
* scidoe_ryates — Reverse Yates algorithm to give estimated responses
* scidoe_simplelinreg — Univariate linear regression
* scidoe_yates — Calculates main and interaction effects using Yate's
algorithm.
Support
* scidoe_compare — The default comparison function used in the sort-merge.
* scidoe_pdist — Pairwise point distances of a matrix
* scidoe_plotcube — Plots a d dimensions cube in [-1,1].
* scidoe_sort — A flexible sorting function.
* scidoe_sortdesign — Sort the experiments of a design of experiments
* scidoe_string — Sort the experiments of a design of experiments
