Constrained Mixture Design Results - Display Design Tab

Select the Display design tab of the Constrained Mixture Design Results dialog to access the options described here.

Display/Edit/Save Design

Use the options in the Display/Edit/Save Design group box to specify the appearance of the design, review the design, and change any factor names or levels.

Summary: Display design

Click the Summary: Display design button to display a spreadsheet with the vertex and centroid points. The way in which these points are displayed is affected by the respective settings of the options on this tab. To save the design, select the spreadsheet and use the Save or Save As options on the File menu. To use this spreadsheet in further analyses, you must specify it as an input spreadsheet. For more information, see the Input Spreadsheet Overview.

Note: Partial replications. If you want to replicate selected points from the design (e.g., so that you can later obtain an estimate of pure error; see the Introductory Overview), first add rows to the design (use option Insert - Add Cases), and then copy and paste the respective runs into those new rows.

Denote factors

The choice of options in the Denote factors group box determines how the factors are labeled in the spreadsheet. If you select the By numbers option button, the factors will be denoted by numbers; that is, consecutive factors will be labeled as F1, F2, ..., Fn. If you select the By letters option button, the factors will be denoted by letters; that is, consecutive factors will be labeled as A, B, C and so on.

Order of runs

The choice of options in the Order of runs group box determines how the design is displayed. If you select the Standard order option button, the design is displayed in standard order. To randomize the order of runs, select the Random option button. For standard experiments, it is common practice to randomize the runs in order to avoid any systematic biases due to, for example, fluctuations in the production process across runs.

The positive integer value in the Seed box is used to seed the random number generator. Note that the random number generator will be reseeded every time you enter this dialog. Thus, when you generate the same design more than once, the default random seed in the Seed box will be different every time. If you want to generate the identical order in consecutive analyses, enter into this box the same number as that shown in the initial analysis. In practice, since randomization is supposed to accomplish unbiased assignment of runs to experimental conditions, you usually do not want to change this value.