Comprehensive Array of Results and Plots
Detailed Experiment Results
DOE++ provides a flexible array of tools for analyzing the experiment results, including:
- Analysis of variance (ANOVA) information, which provides an overview of the effects of factor(s) on response(s).
- Regression model results that represent the contribution of individual factors, interactions and/or groups of effects to the response variation.
- Fit metrics to help assess the validity of the model.
- Alias structures that display when one effect cannot be distinguished from another.
- Level-specific information and comparisons for one factor designs.
- Likelihood ratio test results for reliability DOE.
Diagnostic, Interpretive and Predictive Plots
DOE++ offers a wide selection of plots to help you illustrate and share your results with others. This includes:
- Level Plots for comparing the responses at different levels of a factor.
- Effect Plots for evaluating the effects of factors and factorial interactions on a response.
- Residual Plots for determining the validity of the model for a response.
- Diagnostic Plots to assist you in identifying problematic data points and determining the appropriate response transformation (if any).
- Response vs. Level
- Level Mean
- Life Characteristic
- Box Plot
- Mean PDFs
- Comparison Chart
- Effect Probability
- Pareto Chart
- Main Effects
- Interaction Matrix
- Term Effect
- Cube Plot
- Scatter Plot
- Contour Plot
- Residual Probability
- Residual vs. Fitted
- Residual vs. Order
- Residual vs. Factor
- Residual Histogram
- Residual Autocorrelation
- Fitted vs. Actual
- Cook's Distance
- Box-Cox Transformation
The 3-dimensional Surface Plot is also available to help you visually investigate how varying the levels of two factors will affect a response.
Easy to Exclude a Response or Reduce a Model
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 open the Select Terms window and select to include/exclude factors and interactions individually or in groups, and then re-analyze the data set.