Design-Expert overview
Explore, visualize and model your data in a single interface
Design your experiment
Design-Expert provides powerful tools to lay out an ideal experiment on your process, mixture or combination of factors and components. When in doubt, build it stout via in-line power calculations and the ability to add blocks and center points. Design-Expert’s design wizards and intuitive layouts such as the stoplight configuration for two-level factorials make it all far easier than you’d even imagine.
Analyze your data
Design-Expert makes it easy to see what, if anything, emerges as statistically significant and how to model the results most precisely. It provides the confidence you need to present and publish your findings.
Visualize your results
Design-Expert offers a wide selection of graphs that help you identify standout effects and visualize your results. Its outputs create a strong impression when you communicate your findings to supervisors and peers.
Design-Expert features
Design
- Factorial and fractional-factorial designs, including minimum-run designs, optimal multi-level
- Response surface designs including central composite, Box-Behnken, optimal
- Mixture designs including screening, simplex and optimal
- Custom optimal combined designs for mixture-process, double-mixture, mixture-amount
- Split-plot designs for factorial, response surface and combined mixture-process
Analysis
- Design evaluation tools including standard error, fraction of design space (FDS)
- Model comparison summary table, multiple model reduction methods
- Analysis summary with ANOVA, Poisson regression, logistic regression, restricted maximum likelihood, and more
- Residual diagnostics and influence graphs including Box-Cox plot for transformations
- Propagation of error (POE)
Design augmentation
- Replicates, blocking, center points
- Foldover, semi-foldover, optimal augmentation
- Custom augmentation by shifting, expanding or contracting the design space
Graphics
- One factor, multi-factor profiler, interaction, contour, 3D surface, cube, perturbation/trace graphs
- 2D and 3D scatterplots, histogram, box plot, and custom graphs for plotting analysis data
Post-analysis
- Numerical & graphical optimization with confidence interval options
- Point prediction, confirmation run analysis