Design-Ease 7.0
Introduction
Designed as an entry-level DOE software package, Design-Ease 7 offers features for ease-of-use and functionality that you won't find in general statistical packages. You'll discover a wide variety of designs, the flexibility to modify designs, unique evaluation capabilities and graphics to simplify interpretation.
A Tremendous Variety of Designs Meet All Your Experimental Needs
- Standard two-level full and fractional factorials (up to 256 runs) for testing up to 15 factors simultaneously, with optimal (minimum-aberration) blocking choices.
- General (multilevel) factorial designs (up to 32,000 runs) for categorical factors with mixed levels.
- High-resolution irregular fractions, such as 4 factors in 12 runs.
- Taguchi orthogonal arrays.
- Placket-Burman designs for 11, 19, 23, 27 or 31 factors in 12, 20, 24, 28 or 32 runs respectively.
Enjoy Incredible Flexibility in Design Modification
- Define your own generators for fractional factorial designs.
- Ignore a row of data while preserving the numbers.
- Add new factors and blocking to existing designs.
- Edit factor names and levels even after a design is created.
- Change factors from numeric to categoric and back.
- Fold over one or more factors for any two-level design.
- Easily analyze designs with botched or missing data.
Evaluate Your Experimental Design with Unique Tools
- Ability to graph any two columns of data on the XY graph (this is a great way to view a block effect).
- Power calculations provide assurance that you can detect effects.
- Get all the details you need on aliases, degrees of freedom, leverage, correlation, etc.
Simplify Interpretation with Terrific Graphics
- Discover significant effects at-a-glance with half-normal or normal probability plots, include points to represent estimates of pure error (if available from your design).
- Select effects using Lenth's criteria or probability values.
- See the effects plot in the original scale after transforming the response.
- View a complete array of diagnostics graphs to check statistical assumptions and detect possible outliers (bonus feature: predicted-versus-actual graphs with a 45º line).
- See the Box-Cox plot for advice on the best response transformation.
- Graph alternative aliased interactions.
- Generate interactive 2-D contours and rotatable 3-D graphics.
- Edit colors, text and more to produce professional reports.
Build Confidence with Statistical Analysis of Data
- Make substitutions for aliased effects.
- Select optional annotated views for assistance with ANOVA interpretation.
- Inspect F-test values on individual model terms and confidence intervals on coefficients.