Summary Screen
The design summary screen has a record of the original design type, the factor names and levels, and the response names and levels. It also summarizes the current model that has been chosen for each response, including whether or not a transformation has been applied.
An “R” in front of a model type means reduced model. So an RQuadratic is a reduced quadratic model – it has some, but not all, quadratic terms. R2FI means a reduced two-factor interaction model.
Details about the information contained on this page can be found by right-clicking on the cell of interest in the summary report and selecting the “Help” option.
Design Information
File Version - The software version used to build the file is saved with the file.
Study Type - The tab used to build the design (Factorial, Response Surface, Mixture, Combined).
Design Type - Within each tab, the node used to build the design
Design Model - The model “designed for” when the design was built.
Runs - The number of rows in the Design Layout.
Blocks - The number of blocks in the current design.
Build Time - The number of milliseconds needed to build a design.
Factor/Component Information
Factor - The factor IDs
Name - The experimenter supplied name for each factor
Units - The units of measure for each factor
Type - Categoric or Numeric or Mixture
Subtype - Nominal or Ordinal for categoric types, Continuous and Discrete for numeric types.
Minimum - smallest numeric value for numeric or lowest assigned treatment for categoric factors actually in the design
Maximum - largest numeric value for numeric or highest assigned treatment for categoric factors actually in the design
-1 Actual - The lowest designed for value in the experiment (may differ from the Minimum)
+1 Actual - The highest designed for value in the experiment (may differ from the Maximum)
Low Coded - The lowest coded value designed for each factor in the experiment (does not apply to categoric factors)
High Coded - The highest coded value designed for each factor in the experiment (does not apply to categoric factors)
Mean - Average of the settings in each numeric factor column
Std. Dev. - Standard Deviation of the settings in each numeric factor column
Response
Name - The experimenter supplied name for each response
Units - The units of measure or each response
Obs - The number of runs with data for each response
Analysis - The analysis type (factorial or polynomial).
Minimum - The smallest entry for each response
Maximum - The largest entry for each response
Mean - The average for each response
Std. Dev. - The standard deviation for each response
Ratio - Maximum / Minimum for each response
Trans - If analyzed, the transform used to fit the model
Model - Short description of the order of model fitted to the data during analysis.