Multivariate

Example 1

Summary: Perform multivariate correlations analysis with mahalanobis distances

Code:

// Open data table
dt = Open("$Sample_Data/Body Fat.jmp");
// Multivariate Correlations
Multivariate(
    Y(
        :"Age (years)"n, :"Weight (lbs)"n,
        :"Height (inches)"n,
        :"Neck circumference (cm)"n,
        :"Chest circumference (cm)"n,
        :"Abdomen circumference (cm)"n,
        :"Hip circumference (cm)"n,
        :"Thigh circumference (cm)"n,
        :"Knee circumference (cm)"n,
        :"Ankle circumference (cm)"n,
        :
        "Biceps (extended) circumference (cm)"n,
        :"Forearm circumference (cm)"n,
        :"Wrist circumference (cm)"n
    ),
    Estimation Method( "Row-wise" ),
    Scatterplot Matrix(
        Density Ellipses( 1 ),
        Shaded Ellipses( 0 ),
        Ellipse Color( 3 )
    ),
    Mahalanobis Distances( 1 )
);

Example 2

Summary: Calculate factor score correlations for specified variables in the Online Consumer Data table using the Multivariate platform with row-wise estimation method and display the results in a square matrix format with scatterplot matrix and shaded ellipses.

Code:

// Open data table
dt = Open("$Sample_Data/Online Consumer Data.jmp");
// Factor Score Correlations
Multivariate(
    Y(
        :Privacy, :Security, :Reputation,
        :Trust, :Purchase Int
    ),
    Estimation Method( "Row-wise" ),
    Matrix Format( "Square" ),
    Scatterplot Matrix(
        Density Ellipses( 0 ),
        Shaded Ellipses( 0 )
    ),
    Color Map on Correlations( 1 )
);

Example 3

Summary: Analyze a multivariate dataset using the Multivariate platform, generating a scatterplot matrix with density ellipses and customizing axis scales.

Code:

// Open data table
dt = Open("$Sample_Data/Polyethylene Process.jmp");
// Multivariate
Multivariate(
    Y( :Tmax2, :z2, :Fi2 ),
    Estimation Method( "Row-wise" ),
    Scatterplot Matrix(
        Density Ellipses( 1 ),
        Shaded Ellipses( 0 )
    ),
    SendToReport(
        Dispatch( {"Scatterplot Matrix"},
            "102", ScaleBox,
            {Min( 0.385563909774436 ),
            Max( 0.576842105263158 ),
            Inc( 0.025 ),
            Minor Ticks( 0 )}
        ),
        Dispatch( {"Scatterplot Matrix"},
            "101", ScaleBox,
            {Min( 0.5675 ),
            Max( 0.636453182118107 ),
            Inc( 0.01 ), Minor Ticks( 0 )
            }
        ),
        Dispatch( {"Scatterplot Matrix"},
            "100", ScaleBox,
            {Min( 272.586320371566 ),
            Max( 292.665882156916 ),
            Inc( 5 ), Minor Ticks( 1 )}
        )
    )
);

Example 4

Summary: Perform multivariate analysis using Row-wise estimation method and create a scatterplot matrix with density ellipses color coded.

Code:

// Open data table
dt = Open("$Sample_Data/Quality Control/Thickness.jmp");
// Multivariate
Multivariate(
    Y(
        :Thickness 01, :Thickness 02,
        :Thickness 03, :Thickness 04,
        :Thickness 05, :Thickness 06,
        :Thickness 07, :Thickness 08,
        :Thickness 09, :Thickness 10,
        :Thickness 11, :Thickness 12
    ),
    Estimation Method( "Row-wise" ),
    Scatterplot Matrix(
        Density Ellipses( 1 ),
        Shaded Ellipses( 0 ),
        Ellipse Color( 3 )
    )
);

Example 5

Summary: Create a scatterplot matrix displaying the relationship between Aperture, Ranging, Cadence, and Yield using the Multivariate and Scatterplot Matrix functions.

Code:

// Open data table
dt = Open("$Sample_Data/Ro.jmp");
// Scatterplot matrix
Multivariate(
    Columns(
        :Aperture, :Ranging, :Cadence,
        :Yield
    ),
    Scatterplot Matrix(
        Density Ellipses( 1 ),
        Ellipse Color( 3 )
    )
);

Example 6

Summary: Construct a scatterplot matrix using the Multivariate function to visualize the relationships between Ether, 1-Octanol, Carbon Tetrachloride, Benzene, Hexane, and Chloroform in the Solubility dataset.

Code:

// Open data table
dt = Open("$Sample_Data/Solubility.jmp");
// Multivariate
Multivariate(
    Columns(
        :Ether, :"1-Octanol"n,
        :Carbon Tetrachloride, :Benzene,
        :Hexane, :Chloroform
    ),
    Scatterplot Matrix(
        Density Ellipses( 1 ),
        Ellipse Color( 3 )
    )
);

Example 7

Summary: Create a scatterplot matrix with density ellipses and color map on correlations for multiple variables in a multivariate analysis.

Code:

// Open data table
dt = Open("$Sample_Data/Tablet Production.jmp");
// Multivariate
Multivariate(
    Y(
        :Disso, :Mill Time, :Blend Time,
        :Blend Speed, :Force,
        :Coating Viscosity, :Inlet Temp,
        :Exhaust Temp, :Spray Rate,
        :Atomizer Pressure
    ),
    Estimation Method( "Row-wise" ),
    Scatterplot Matrix(
        Density Ellipses( 1 ),
        Shaded Ellipses( 0 ),
        Vertical( 1 ),
        Ellipse Color( 3 )
    ),
    Color Map On Correlations( 1 )
);

Example 8

Summary: Build a multivariate scatterplot matrix with pairwise estimation method for household income, IQ, eighth-grade math, high school graduates, gross state product, vegetable consumption, smokers, physical activity, obese, college degrees, and alcohol consumption.

Code:

// Open data table
dt = Open("$Sample_Data/US Demographics.jmp");
// Multivariate
Multivariate(
    Y(
        :Household Income, :IQ,
        :Eighth Grade Math,
        :High School Graduates,
        :Gross State Product,
        :Vegetable Consumption, :Smokers,
        :Physical Activity, :Obese,
        :College Degrees,
        :Alcohol Consumption
    ),
    Estimation Method( "Pairwise" ),
    Scatterplot Matrix(
        Density Ellipses( 1 ),
        Shaded Ellipses( 0 ),
        Ellipse Color( 3 )
    )
);