Detailed Analysis of Experimental Data
An Array of Analysis Results
DOE++ provides a detailed analysis of experimental data, including:
-
Analysis of Variance (ANOVA), which provides an overview of
the effects of factor(s) on responses(s). This includes:
- The amount of difference that each factor, interaction or group of factors causes in each response.
- Clear indications of the effects that are significant to the response.
- Fit metrics to help assess the validity of the model.
- For one factor designs:
- Output analysis for each factor level.
- Comparisons of each pair of factor levels, including response values and significance of the difference between levels.
- The ability to break down the importance of individual factors, interactions and/or groups of effects to output via regression analysis or, for reliability DOEs, the likelihood ratio test and maximum likelihood estimation.
Model Reduction Made Easy
Make your initial design as inclusive and far-reaching as you like, then refine it until you have exactly the information you need. DOE++ provides separate analysis results for each response that you select to include in the analysis. Excluding a response is as simple as clearing a checkbox.
Reducing the model is just as easy. Simply select to include/exclude factors and interactions individually or in groups and re-analyze the data set.
Additional Information at Your Fingertips
Get more information about your design and analysis with a single click. The design summary allows you to explore all of the design settings specified in your original design and any changes that you have subsequently made to the design. The analysis summary offers in-depth information on the analysis, including the regression equation, the alias structure for factors included in the analysis, the variance/covariance matrix and the least squares means at each factor level.
