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Mixture Designs

Data Tab

Extreme Vertex Designs: Data Tab

After you build an extreme vertex design, the Data tab will include a test plan with Response columns for entering response data. The first ten rows of an example plan with default columns shown are displayed next.

Each cell in the last column is used to record the response value obtained at the combination of factor settings (green columns) specified in the current row.

All of the available columns for extreme vertex designs are described in more detail below. To hide/show columns, use the Visible Columns window.

Tip: If you need to use a non-randomized order in an actual experiment, you can sort the design by clicking a cell in the column you wish to sort by and choosing Sheet > Sheet Actions > Sort > [Order]. For example, if changing levels in a randomized experiment would be too expensive, you can sort the design table by factor levels.

The levels of mixture factors, or components, can be displayed as amounts (e.g., 1 gram), proportions (e.g., 0.5 = 50%) or pseudovalues. Pseudovalues are scaled from 0 to 1, where 0 represents the minimum value based on the design constraints and 1 represents the maximum. To switch between these three types of values, choose Data > Display > [Amount/Proportion/Pseudovalue].

If you included process factors, or variables, in the design, their levels can be displayed as the actual values assigned in the factor properties or as coded values. When you use coded values for two level factorial or Plackett-Burman process factor designs, the low level will be displayed as -1 and the high level will be displayed as 1. When you use coded values for general full factorial or Taguchi OA factorial designs, the lowest level will be displayed as 1, the next level as 2, and so on. To switch between coded and actual values, choose Data > Display > [Actual Values/Coded Values].

If your design includes only one observation per test run, the follow columns will be available:

Each column contains a check box in the column heading that specifies whether the response will be included in the analysis. If a column is selected, the color of the check box border will indicate the status of that response's analysis. A green border indicates that the response has been analyzed using the current analysis settings; a red border indicates that it has not. Note that if you clear the check box, you will not be able to specify analysis settings for the response, nor will you be able to display it in plots or use it in optimization.

If your design includes multiple measurements per test run, the following columns will be available:

 

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