Fit Definitive Screening

Example 1

Summary: Fit a Definitive Screening model to analyze the effects of six process variables on yield.

Code:

// Open data table
dt = Open("$Sample_Data/Design Experiment/Extraction Data.jmp");
// Fit Definitive Screening
Fit Definitive Screening(
    X(
        :Methanol, :Ethanol, :Propanol,
        :Butanol, :pH, :Time
    ),
    Y( :Yield )
);

Example 2

Summary: Perform Definitive Screening Analysis with Response Variable Yield and Eight Predictor Variables.

Code:

// Open data table
dt = Open("$Sample_Data/Design Experiment/Extraction2 Data.jmp");
// Fit Definitive Screening
Fit Definitive Screening(
    Y( :Yield ),
    X(
        :Lot, :Methanol, :Ethanol,
        :Propanol, :Butanol, :pH, :Time
    )
);

Example 3

Summary: Generate a Definitive Screening Design to identify significant factors affecting yield in an extraction process.

Code:

// Open data table
dt = Open("$Sample_Data/Design Experiment/Extraction3 Data.jmp");
// Fit Definitive Screening
Fit Definitive Screening(
    X(
        :Lot, :Methanol, :Ethanol,
        :Propanol, :Butanol, :pH, :Time
    ),
    Y( :Yield )
);

Example 4

Summary: Fit a Definitive Screening design to analyze the effects of various factors on the solids content in a peanut processing experiment.

Code:

// Open data table
dt = Open("$Sample_Data/Design Experiment/Peanut Data.jmp");
// Fit Definitive Screening
Fit Definitive Screening(
    X(
        :pH, :Water Temp,
        :Extraction TIme, :Ratio,
        :Agitation Speed, :Hydrolyze,
        :"Pre-Soak"n
    ),
    Y( :Solids )
);