Statistics Toolbox 7.2

Design of Experiments

Functions for Design of Experiments (DOE) help you create and test practical plans to gather data for statistical modeling. These plans show you how to manipulate your data inputs in tandem to generate information about their effect on the outputs. Supported design types include:

• Full factorial
• Fractional factorial
• Response surface (central composite and Box-Behnken)
• D-optimal
• Latin hypercube

You can use the toolbox to define, analyze, and visualize a customized DOE. For example, you can estimate input effects and input interactions using ANOVA, linear regression, and response surface modeling, and then visualize results through main effect plots, interaction plots, and multi-vari charts.

Fitting a decision tree to data. The fitting capabilities in Statistics Toolbox let you visualize a decision tree by drawing a diagram of the decision rule and group assignments. Click on image to see enlarged view.

Model of a chemical reaction of an experiment using Design-of-Experiments (DOE) and surface-fitting capabilities of Statistics Toolbox. Click on image to see enlarged view.