ADXSLD: Construct Simplex-Lattice Designs

Macros for the Design and Analysis of Experiments

ADXSLD: Construct Simplex-Lattice Designs

%adxsld(ds, vlst, m)

where

ds is the name of the SAS data set for the constructed design. This data set contains variables for design factors. Default names are used. The default names for design factors are T1, T2, T3, and so on.

vlst is a list of mixture components.

m is the reciprocal of the increment.

The ADXSLD macro can construct simplex-lattice designs of any degree m. These designs have points positioned uniformly over the feasible region and are thus useful for investigating a response surface over the entire simplex.

For example, suppose you want a design for an experiment on blends of three fruit juices: watermelon, pineapple, and orange. To construct a simplex-lattice design of order 4, submit the following statements:

   %adxgen
   %adxmix
   %adxinit
   %adxsld(juice2,watermel pineappl orange,4)

The design is output to the JUICE2 data set, which contains the variables WATERMEL, PINEAPPL, and ORANGE. The values of these variables give the proportions of each juice for runs in the experimental design.

Chapter Contents
Previous
Next
Top

ds	is the name of the SAS data set for the constructed design. This data set contains variables for design factors. Default names are used. The default names for design factors are T1, T2, T3, and so on.
vlst	is a list of mixture components.
m	is the reciprocal of the increment.