Overlay Plot

Example 1

Summary: Generate an overlay plot

Code:

// Open data table
dt = Open("$Sample_Data/Cars 1993.jmp");
// Overlay Plot
Overlay Plot(
    Y(
        :"City Mileage (MPG)"n,
        :"Highway Mileage (MPG)"n
    ),
    Range Plot( 1 )
);

Example 2

Summary: Generate overlay plots for normal density and t with data plotted as a function

Code:

// Open data table
dt = Open("$Sample_Data/Density Compare.jmp");
// Overlay Plot Nomal and t
Overlay Plot(
    X( :X ),
    Y( :Normal dens, :t dens5 ),
    Function Plot( 1 ),
    Show Points( 0 )
);

Example 3

Summary: Generate overlay plots for beta with data plotted as a function

Code:

// Open data table
dt = Open("$Sample_Data/Density Compare.jmp");
// Overlay Plot for Betas
Overlay Plot(
    X( :Xbeta ),
    Y( :beta.5.5, :beta52, :beta2.5 ),
    Overlay Axis << {{Scale( "Linear" ),
    Format( "Best" ), Min( -1 ), Max( 5 ),
    Inc( 1 ), Minor Ticks( 0 )}},
    X Axis << {{Scale( "Linear" ),
    Format( "Best" ), Min( 0.05 ),
    Max( 0.95 ), Inc( 0.1 )}},
    Function Plot( 1 ),
    Show Points( 0 ),
    SendToReport(
        Dispatch( {}, "102", ScaleBox,
            {Scale( "Linear" ),
            Format( "Best" ), Min( -1 ),
            Max( 5 ), Inc( 1 ),
            Minor Ticks( 0 )}
        ),
        Dispatch( {}, "101", ScaleBox,
            {Scale( "Linear" ),
            Format( "Best" ), Min( 0.05 ),
            Max( 0.95 ), Inc( 0.1 )}
        )
    )
);

Example 4

Summary: Generate overlay plots for gamma with data plotted as a function

Code:

// Open data table
dt = Open("$Sample_Data/Density Compare.jmp");
// Overlay Plot for Gammas
Overlay Plot(
    X( :Xgamma ),
    Y( :gamma1, :gamma3, :gamma5 ),
    Function Plot( 1 ),
    Show Points( 0 )
);

Example 5

Summary: Generate overlay plots for weibull with data plotted as a function

Code:

// Open data table
dt = Open("$Sample_Data/Density Compare.jmp");
// Overlay Plot for Weibulls
Overlay Plot(
    X( :XWeibull ),
    Y( :Weibull11, :Weibul12, :Weibul21 ),
    Function Plot( 1 ),
    Show Points( 0 )
);

Example 6

Summary: Create an overlay plot comparing two Y variables against one X variable.

Code:

// Open data table
dt = Open("$Sample_Data/Nor.jmp");
// Overlay Plot
Overlay Plot(
    X( :X ),
    Y( :Pred Y, :Y ),
    :
    Pred Y(
        Connect Points( 1 ),
        Show Points( 0 )
    ),
    :Y( Connect Color( 5 ) )
);

Example 7

Summary: Create an overlay plot for visual comparison of multiple Y variables against a common X variable.

Code:

// Open data table
dt = Open("$Sample_Data/Normal Density Compare.jmp");
// Overlay Plot
Overlay Plot( X( :x ), Y( :y ) );

Example 8

Summary: Create an overlay plot displaying data from the Normal to Gamma Compare dataset.

Code:

// Open data table
dt = Open("$Sample_Data/Normal to Gamma Compare.jmp");
// Overlay Plot
Overlay Plot( X( :x ), Y( :y ) );

Example 9

Summary: Create an overlay plot to visualize the distribution of Portion 0-19 across different countries by year, using linear scaling on the X-axis and connect the data points.

Code:

// Open data table
dt = Open("$Sample_Data/PopAgeGroupSubset.jmp");
// Overlay Plot
Overlay Plot(
    X( :Year ),
    Y( :"Portion 0-19"n ),
    Grouping( :Country ),
    Overlay Groups,
    X Axis << {{Scale( "Linear" ),
    Format( "Best" ), Min( 1957.5 ),
    Max( 2000 ), Inc( 10 ),
    Minor Ticks( 9 ),
    Show Major Grid( 1 ),
    Show Minor Grid( 1 )}},
    Connect Points( 1 )
);

Example 10

Summary: Create an Overlay Plot to visualize stock prices and moving averages for XYZ stock.

Code:

// Open data table
dt = Open("$Sample_Data/XYZ Stock Averages (plots).jmp");
// Overlay Plot: Moving Averages
Overlay Plot(
    X( :Date ),
    Y( :XYZ, :moving avg. )
);

Example 11

Summary: Create an overlay plot with needle plots for the high, close, and low stock prices of DJI over time.

Code:

// Open data table
dt = Open("$Sample_Data/XYZ Stock Averages (plots).jmp");
// Overlay Plot: Needle
Overlay Plot(
    X( :Date ),
    Y( :DJI High, :DJI Close, :DJI Low ),
    Needle( 1 )
);