Design Summary
This is a report of the design, factor, and response information.
Design Information
File Version: Software version last used to save this file.
Type: The tab (Study) and node (Design) used to create the original design. Design also includes the exchange algorithm used to build optimal designs.
Design Model: The model the design was originally created to estimate.
Center Points: The number of center points in a factorial design.
Runs: The current number of rows (runs) in the experiment
Blocks: The current number of blocks in the experiment.
Factor/Component Information
Component/Factor: Indicator letter for each factor
Name: Descriptive name for each factor.
Units: The units of measurement.
Type: The type of variable (Mixture, Numeric, Categoric)
Subtype: For numeric factors this can be continuous or discrete.
Minimum: The lowest value actually used in the experiment for each factor. For categoric factors this is the first level entered.
Maximum: The highest value actually used in the experiment for each factor. For categoric factors this is the last level entered.
Low Actual: The lower bound for the experiment’s area of interest for each factor. For mixture components this is an absolute lower bound.
High Actual: The upper bound for the experiment’s area of interest for each factor. For mixture components this is a absolute upper bound.
Low Coded: The coded value corresponding with the Low Actual setting used by the math engine to perform the analysis.
High Coded: The coded value corresponding with the High Actual setting used by the math engine to perform the analysis.
Mean: The average factor setting in this design.
Std. Dev: The standard deviation of the numeric factor settings.
Response Information
Response: Place holder for each response R[i]
Name: Descriptive name for each response.
Units: Units of measure for each response.
Obs: Number of entries (observations) for each response.
Analysis: The type of model contrasts being used. See Design Model above.
Minimum: The smallest observation each response.
Maximum: The largest observation for each response.
Mean: The average of each response.
Std. Dev: The standard deviation for each response.
Ratio: Maximum divided by Minimum.
Trans: The Transform applied during analysis.
Model: The order of the model being fit by the analysis.