Contour Profiler

Associated Constructors

Contour Profiler

Syntax: Contour Profiler( Y( column1, column2, ... ) )

Description: Produces an interactive contour plot that enables you to explore how one or more predicted responses change across pairs of factors. The values of factors not used in the plot can be varied to further explore the impact of the factor settings on the predicted responses.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);

Columns

Noise Factors

Syntax: obj = Contour Profiler(...<Noise Factors( column(s) )>...)

Description: Specifies noise factors, which must be columns that are ingredients to the formula columns. Noise factors are used to study robustness (or flatness) with respect to transmitted variation from these factors. The resulting profiler includes derivatives of the formulas with respect to the noise factors.

Contour Profiler Example


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    ),
    Noise Factors( :SILANE )
);

Custom Profiler Example


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Custom Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    ),
    Noise Factors( :SILANE )
);

Mixture Profiler Example


dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ), Noise Factors( :p1 ) );

Profiler Example


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    ),
    Noise Factors( :SILANE )
);

Prediction Formula

Syntax: obj = Contour Profiler(...Prediction Formula( column(s) )...)

Description: Specifies the response columns that contain formulas.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);

Y

Syntax: obj = Contour Profiler(...Y( column(s) )...)

Description: Specifies the response columns that contain formulas.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);

Item Messages

Animation

Syntax: obj << Animation( <Tour Type( "Sequential"|("Single Factor",factorname)|"Random"|"Data Sequential"|"Data Random" )>, <Speed(ticks)>, <Go>, <Stop> )

Description: Starts or stops the animation of the profiler. You can also specify how the animation cycles through factor combinations.

JMP Version Added: 16


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Animation( Tour Type( "Sequential" ), Go );
Wait( 3 );
obj << Animation( "Stop" );

Append Settings to Table

Syntax: obj << Append Settings to Table

Description: Saves the settings of the current profiler as a new row at the end of the data table.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Append Settings to Table;

Arrange X Controls Left

Syntax: obj << Arrange X Controls Left( state=0|1 )

Description: Rearranges the X and Y controls horizontally so that the X controls are on the left.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 1 );
obj << Arrange X Controls Left( 1 );

Broadcast Factor Settings

Syntax: obj << Broadcast Factor Settings

Description: Sends the factor settings for the current profiler to all other profilers. This option does not link the profilers.

JMP Version Added: 14


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    ),
    Desirability Functions( 1 ),
    Term Value(
        SILICA( 1.75, Lock( 0 ), Show( 1 ) ),
        SILANE( 45.2, Lock( 0 ), Show( 1 ) ),
        SULFUR( 2.45, Lock( 0 ), Show( 1 ) )
    )
);
obj << Contour Profiler( 1 );
Wait( 1 );
obj << Broadcast Factor Settings;

Clipping

Syntax: obj << Clipping( horizCenter,horizWidth,verticalCenter,VerticalWidth )

Description: Sets up a clipping region, which is circular for wafer maps.


dt = Open( "$Sample_Data/Wafer Stacked.jmp" );
Neural(
    Y( :Defects ),
    X( :X_Die, :Y_Die ),
    Informative Missing( 0 ),
    Validation Method( "Holdback", 0.3333 ),
    Fit(
        NGaussian( 9 ),
        Contour Profiler(
            1,
            Term Value(
                :X_Die( 0, Lock( 0 ), Show( 1 ) ), :Y_Die( 0, Lock( 0 ), Show( 1 ) )
            ),
            Contour Value( :Defects( 0.1309, Min( -0.28 ), Max( 7.28 ) ) ),
            Grid Density( "40 x 40" ),
            Contour Grid( 0, 0.275, 0.025, :Defects, Filled( 1 ), Reverse Scale( 0 ) ),
            Horizontal Factor( :X_Die ),
            Vertical Factor( :Y_Die ),
            Clipping( {0, 0}, {42, 42} )
        )
    ),
    SendToReport(
        Dispatch( {"Model NGaussian(9)", "Contour Profiler"}, "Contour Profiler Frame",
            FrameBox,
            {Frame Size( 400, 400 )}
        )
    )
);

Conditional Predictions

Syntax: scrobj << Conditional Predictions( state=0|1 )

Description: Includes random effects when formulating the predicted value and profiles. This option is available only when random effects are included in the model.


dt = Open( "$Sample_Data/Reactor.jmp" );
Column( "A" ) << Set Modeling Type( "Nominal" );
obj = dt << Fit Model(
    Y( :Y ),
    Effects( :Ct, :T, :Cn, :Ct * :T, :T * :Cn ),
    Random Effects( :A ),
    Emphasis( "Minimal Report" ),
    Run( Contour Profiler( 1 ) )
);
scrobj = (Report( obj )["Contour Profiler"] << get scriptable object);
scrobj << Conditional Predictions( 1 );

Contour Grid

Syntax: obj << Contour Grid( minimum, maximum, increment, y column, Filled( state=0|1 ), Reverse Scale( state=0|1 ) )

Description: Draws a contour grid on the contour profiler. The grid is based on the specified intervals.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 1 );
obj << Contour Grid( 525.7492294, 2173.9472704279, 206.024755128638, :PredFormulaMODULUS );

Contour Label

Syntax: obj << Contour Label( state=0|1 )

Description: Shows or hides the name of the response variables as labels on the contour profiler. On by default.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 1 );
obj << Contour Label( 0 );

Contour Value

Syntax: obj << Contour Value( y1( number, <Lo Limit( number )>, <Hi Limit( number )>, <Min( number )>, <Max( number )>), y2 (...) )

Description: Sets specific contour values for responses in the contour profiler.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 1 );
obj << Contour Value(
    :PredFormulaAbrasion( 167, Lo Limit( 160 ), Hi Limit( 180 ) ), :Pred Formula Elong( 320 )
);

Copy Settings Script

Syntax: obj << Copy Settings Script

Description: Copies the current factor settings to the clipboard. The settings can then be pasted into another profiler.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Set to Data in Row( 4 );
obj << Copy Settings Script;
obj2 = dt << Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 1 );
obj2 << Paste Settings Script;

Custom Profiler

Syntax: obj << Custom Profiler( state=0|1 )

Description: Shows or hides the Custom Profiler.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Custom Profiler( 1 );

Data Points

Syntax: obj << Data Points( state=0|1 )

Description: Shows or hides the data points.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Data Points( 1 );

Formulas for OPTMODEL

Syntax: obj << Formulas for OPTMODEL

Description: Saves the prediction formulas from the model in a new file as SAS statements for PROC OPTMODEL.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Formulas for OPTMODEL;

Get Constraints

Syntax: obj << Get Constraints

Description: Returns a list of factor constraints.


dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Profiler(
    Y( :Pred Formula Y ),
    Profiler( 1, Profile at Boundary( "Stop at Boundaries" ), )
);
obj << Get Constraints;

Get Factor Settings

Syntax: obj << Get Factor Settings

Description: Returns the current factor settings as a list.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Get Factor Settings;

Get Factor Settings Script

Syntax: obj << Get Factor Settings Script

Description: Returns the current factor settings as an expression that can be used in a script.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Get Factor Settings Script;

Get Simulator

Syntax: obj << Get Simulator

Description: Returns a reference to the Simulator.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Simulator(
    1,
    Factors(
        SILICA << Random( Normal( 1.25, 0.3266 ) ), SILANE << Fixed( 50 ),
        SULFUR << Fixed( 2.25 )
    ),
    Responses(
        Pred Formula ABRASION << No Noise, Pred Formula MODULUS << No Noise,
        Pred Formula ELONG << Add Random Noise( 1 ),
        Pred Formula HARDNESS << Add Random Weighted Noise( 1 )
    )
);
obj2 = obj << Get Simulator;
obj2 << Simulation Experiment;

Graph Updating

Syntax: obj << Graph Updating( "Per Mouse Move"|"Per Mouse Up" )

Description: Sets the frequency of updating the Contour Profiler. The Per Mouse Move setting updates the graph as the mouse moves. The Per Mouse Up setting updates the graph after the mouse button has been released.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Graph Updating( "Per Mouse Up" );
// use your mouse to move the slider scale for a response

Grid Density

Syntax: obj << Grid Density( "10 x 10"|"20 x 20"|"30 x 30"|"40 x 40"|"50 x 50"|"60 x 60" )

Description: Sets the density of the individual mesh or surface plots.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 1 );
obj << Grid Density( "10 x 10" );

Hide X Controls

Syntax: obj << Hide X Controls( state=0|1 )

Description: Shows or hides the control settings for the factors.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Hide X Controls( 1 );

Hide Y Controls

Syntax: obj << Hide Y Controls( state=0|1 )

Description: Shows or hides the control settings for the responses.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Hide Y Controls( 1 );

Horizontal Factor

Syntax: obj << Horizontal Factor( column )

Description: Specifies the factor that is displayed on the horizontal axis.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 2 );
obj << Horizontal Factor( :SULFUR );

Syntax: obj << Link Profilers( state=0|1 )

Description: Links all the profilers in a single report together, so that a change in a factor in one profiler causes that factor to change to that value in all other profilers.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Prediction Profiler( 1 );
obj << Contour Profiler( 1 );
obj << Link Profilers( 1 );
Wait( 1 );
obj << Term Value( :Silica( 1.78 ), :Sulfur( 2.34 ) );

Multiple Contour Frames

Syntax: obj << Multiple Contour Frames( Horizontal Factor( column ), Vertical Factor( column ), <Remove Previous Frames> )

Description: Adds another contour plot that represents the specified combination of factors.

JMP Version Added: 15


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 1 );
obj << Multiple Contour Frames( Horizontal Factor( :SULFUR ), Vertical Factor( :SILANE ) );

Number of Plots Across

Syntax: obj << Number of Plots Across( number )

Description: Specifies the layout of the plots when multiple contour frames are shown in the report.

JMP Version Added: 15


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 1 );
obj << Multiple Contour Frames( Horizontal Factor( :Sulfur ), Vertical Factor( :Silane ) );
obj << Multiple Contour Frames( Horizontal Factor( :Silane ), Vertical Factor( :Silica ) );
obj << Number of Plots Across( 2 );

Paste Settings Script

Syntax: obj << Paste Settings Script

Description: Pastes the profiler settings from the clipboard to a profiler in another report.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Set to Data in Row( 4 );
obj << Copy Settings Script;
obj2 = Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 1 );
obj2 << Paste Settings Script;

Predict for Another Table

Syntax: obj << Predict for Another Table( <data table> )

Description: Adds prediction columns to a specified data table, using the factors in that table. This option is available only for continuous responses.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
dt2 = dt << Subset(
    All rows,
    columns( :SILICA, :SILANE, :SULFUR ),
    Output Table( "Subset" )
);
obj << Predict For Another Table( dt2 );

Prediction Profiler

Syntax: obj << Prediction Profiler( state=0|1 )

Description: Shows or hides the Prediction Profiler.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Prediction Profiler( 1 );

Remember Settings

Syntax: obj << Remember Settings

Description: Adds an outline node to the report with the values of the factor settings.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Remember Settings;

Remove Contour Grid

Syntax: obj << Remove Contour Grid

Description: Removes the contour grid that is overlaid on the contour profiler.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Contour Grid( 525.7492294, 2173.9472704279, 206.024755128638, :PredFormulaMODULUS );
Wait( 2 );
obj << Remove Contour Grid;

Reset

Syntax: obj << Reset

Description: Updates the predictions at the current values.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Term Value( :Silica( 1.78 ), :Sulfur( 2.34 ) );
obj << Reset;

Save Expanded Formulas

Syntax: obj << Save Expanded Formulas

Description: Saves a new formula column to the data table. The new column contains resolved formula references within the formulas used as Y variables to see the underlying variables. This is available only after the Expand Intermediate Formulas option is selected in the launch window or the Expand message is specified in the Profiler script.


dt = Open( "$SAMPLE_DATA/Nonlinear Examples/CES Production Function.jmp" );
obj = dt << Profiler( Y( :GP Fit, :NL Fit, :Difference ), Expand, Contour Profiler( 1 ) );
obj << Save Expanded Formulas;

Set Contours to Current

Syntax: obj << Set Contours to Current

Description: Resets the contour lines to where the current Y values are located.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Contour Value(
    :PredFormulaAbrasion( 167, Lo Limit( 160 ), Hi Limit( 180 ) ), :Pred Formula Elong( 320 )
);
Wait( 1 );
obj << Set Contours to Current;

Set Script

Syntax: obj << Set Script( Function( {arguments}, <{locals}>, expr ) )

Description: Sets a script that is run each time a factor changes.


ProfileCallbackLog = Function( {arg}, Show( arg ) );
dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Set Script( ProfileCallbackLog );
obj << Term Value( :Silica( 1 ) );

Set to Data in Row

Syntax: obj << Set to Data in Row( row number )

Description: Assigns the values of a data table row to the X variables in the profiler.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 2 );
obj << Set to Data in Row( 4 );

Show Formulas

Syntax: obj << Show Formulas

Description: Opens a script window that contains JSL for all formulas that are being profiled.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Show Formulas;

Simulator

Syntax: obj << Simulator( state=0|1 )

Description: Shows or hides the Simulator.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Simulator( 1 );

Surface Plot

Syntax: obj << Surface Plot( state=0|1 )

Description: Shows or hides the individual mesh plots.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Surface Plot( 1 );

Surface Profiler

Syntax: obj << Surface Profiler( state=0|1 )

Description: Shows or hides the Surface Profiler.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Surface Profiler( 1 );

Term Value

Syntax: obj << Term Value( (x1( number ),x2( number ), ... )

Description: Sets specific term values for factors on the contour profiler.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 1 );
obj << Term Value( :Silica( 1.78 ), :Sulfur( 2.34 ) );

Unthreaded

Syntax: obj << Unthreaded( state=0|1 )

Description: To suppress any multithreading in evaluating the profile traces, the contour grid, and the optimizer trips.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Desirability Functions( 1 );
obj << Unthreaded( 1 );
obj << Maximize Desirability;

Up Dots

Syntax: obj << Up Dots( state=0|1 )

Description: Shows or hides dots next to the contour lines. These dots indicate the upward direction of the response. On by default.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 1 );
obj << Up Dots( 0 );

Vertical Factor

Syntax: obj << Vertical Factor( column )

Description: Specifies the factor that is displayed on the vertical axis.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
Wait( 2 );
obj << Vertical Factor( :SULFUR );

Y Colors

Syntax: obj << Y Colors( color1, color2, ... )

Description: Specifies the colors for each Y term in both the contour plot and the individual mesh plots.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    ),
    Surface Plot( 1 )
);
obj << Y Colors( 8, 4, 5, 46 );

Shared Item Messages

Action

Syntax: obj << Action

Description: All-purpose trapdoor within a platform to insert expressions to evaluate. Temporarily sets the DisplayBox and DataTable contexts to the Platform.


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
dt << Bivariate(
    Y( :height ),
    X( :weight ),
    Action( Distribution( Y( :height, :weight ), Histograms Only ) )
);

Apply Preset

Syntax: Apply Preset( preset ); Apply Preset( source, label, <Folder( folder {, folder2, ...} )> )

Description: Apply a previously created preset to the object, updating the options and customizations to match the saved settings.

JMP Version Added: 18

Anonymous preset


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
obj = dt << Oneway( Y( :height ), X( :sex ), t Test( 1 ) );
preset = obj << New Preset();
dt2 = Open( "$SAMPLE_DATA/Dogs.jmp" );
obj2 = dt2 << Oneway( Y( :LogHist0 ), X( :drug ) );
Wait( 1 );
obj2 << Apply Preset( preset );

Search by name


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
obj = dt << Oneway( Y( :height ), X( :sex ) );
Wait( 1 );
obj << Apply Preset( "Sample Presets", "Compare Distributions" );

Search within folder(s)


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
obj = dt << Oneway( Y( :height ), X( :sex ) );
Wait( 1 );
obj << Apply Preset( "Sample Presets", "t-Tests", Folder( "Compare Means" ) );

Column Switcher

Syntax: obj << Column Switcher(column reference, {column reference, ...}, < Title(title) >, < Close Outline(0|1) >, < Retain Axis Settings(0|1) >, < Layout(0|1) >)

Description: Adds a control panel for changing the platform's variables


dt = Open( "$SAMPLE_DATA/Car Poll.jmp" );
obj = dt << Contingency( Y( :size ), X( :marital status ) );
ColumnSwitcherObject = obj << Column Switcher(
    :marital status,
    {:sex, :country, :marital status}
);

Copy Script

Syntax: obj << Copy Script

Description: Create a JSL script to produce this analysis, and put it on the clipboard.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Copy Script;

Data Table Window

Syntax: obj << Data Table Window

Description: Move the data table window for this analysis to the front.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Data Table Window;

Get By Levels

Syntax: obj << Get By Levels

Description: Returns an associative array mapping the by group columns to their values.

JMP Version Added: 18


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
biv = dt << Bivariate( X( :height ), Y( :weight ), By( :sex ) );
biv << Get By Levels;

Get Container

Syntax: obj << Get Container

Description: Returns a reference to the container box that holds the content for the object.

General


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
t = obj << Get Container;
Show( (t << XPath( "//OutlineBox" )) << Get Title );

Platform with Filter


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
gb = Graph Builder(
    Show Control Panel( 0 ),
    Variables( X( :height ), Y( :weight ) ),
    Elements( Points( X, Y, Legend( 1 ) ), Smoother( X, Y, Legend( 2 ) ) ),
    Local Data Filter(
        Add Filter(
            columns( :age, :sex, :height ),
            Where( :age == {12, 13, 14} ),
            Where( :sex == "F" ),
            Where( :height >= 55 ),
            Display( :age, N Items( 6 ) )
        )
    )
);
New Window( "platform boxes",
    H List Box(
        Outline Box( "Report(platform)", Report( gb ) << Get Picture ),
        Outline Box( "platform << Get Container", (gb << Get Container) << Get Picture )
    )
);

Get Data Table

Syntax: obj << Get Data Table

Description: Returns a reference to the data table.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
t = obj << Get Datatable;
Show( N Rows( t ) );

Get Script

Syntax: obj << Get Script

Description: Creates a script (JSL) to produce this analysis and returns it as an expression.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
t = obj << Get Script;
Show( t );

Get Script With Data Table

Syntax: obj << Get Script With Data Table

Description: Creates a script(JSL) to produce this analysis specifically referencing this data table and returns it as an expression.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
t = obj << Get Script With Data Table;
Show( t );

Get Timing

Syntax: obj << Get Timing

Description: Times the platform launch.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
t = obj << Get Timing;
Show( t );

Get Web Support

Syntax: obj << Get Web Support

Description: Return a number indicating the level of Interactive HTML support for the display object. 1 means some or all elements are supported. 0 means no support.


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
obj = dt << Bivariate( Y( :Weight ), X( :Height ) );
s = obj << Get Web Support();
Show( s );

Get Where Expr

Syntax: obj << Get Where Expr

Description: Returns the Where expression for the data subset, if the platform was launched with By() or Where(). Otherwise, returns Empty()

JMP Version Added: 18


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
biv = dt << Bivariate( X( :height ), Y( :weight ), By( :sex ) );
biv2 = dt << Bivariate( X( :height ), Y( :weight ), Where( :age < 14 & :height > 60 ) );
Show( biv[1] << Get Where Expr, biv2 << Get Where Expr );

Ignore Platform Preferences

Syntax: Ignore Platform Preferences( state=0|1 )

Description: Ignores the current settings of the platform's preferences. The message is ignored when sent to the platform after creation.


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
dt << Bivariate(
    Ignore Platform Preferences( 1 ),
    Y( :height ),
    X( :weight ),
    Action( Distribution( Y( :height, :weight ), Histograms Only ) )
);

Local Data Filter

Syntax: obj << Local Data Filter

Description: To filter data to specific groups or ranges, but local to this platform


dt = Open( "$SAMPLE_DATA/Car Poll.jmp" );
dt << Distribution(
    Nominal Distribution( Column( :country ) ),
    Local Data Filter(
        Add Filter( columns( :sex ), Where( :sex == "Female" ) ),
        Mode( Show( 1 ), Include( 1 ) )
    )
);

New JSL Preset

Syntax: New JSL Preset( preset )

Description: For testing purposes, create a preset directly from a JSL expression. Like <<New Preset, it will return a Platform Preset that can be applied using <<Apply Preset. But it allows you to specify the full JSL expression for the preset to test outside of normal operation. You will get an Assert on apply if the platform names do not match, but that is expected.

JMP Version Added: 18


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
obj = dt << Oneway( Y( :Height ), X( :Age ) );
preset = obj << New JSL Preset( Oneway( Y( :A ), X( :B ), Each Pair( 1 ) ) );
Wait( 1 );
obj << Apply Preset( preset );

New Preset

Syntax: obj = New Preset()

Description: Create an anonymous preset representing the options and customizations applied to the object. This object can be passed to Apply Preset to copy the settings to another object of the same type.

JMP Version Added: 18


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
obj = dt << Oneway( Y( :height ), X( :sex ), t Test( 1 ) );
preset = obj << New Preset();

Paste Local Data Filter

Syntax: obj << Paste Local Data Filter

Description: Apply the local data filter from the clipboard to the current report.


dt = Open( "$SAMPLE_DATA/Cities.jmp" );
dist = Distribution( Continuous Distribution( Column( :POP ) ) );
filter = dist << Local Data Filter(
    Add Filter( columns( :Region ), Where( :Region == "MW" ) )
);
filter << Copy Local Data Filter;
dist2 = Distribution( Continuous Distribution( Column( :Lead ) ) );
Wait( 1 );
dist2 << Paste Local Data Filter;

Redo Analysis

Syntax: obj << Redo Analysis

Description: Rerun this same analysis in a new window. The analysis will be different if the data has changed.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Redo Analysis;

Relaunch Analysis

Syntax: obj << Relaunch Analysis

Description: Opens the platform launch window and recalls the settings that were used to create the report.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Relaunch Analysis;

Remove Column Switcher

Syntax: obj << Remove Column Switcher

Description: Removes the most recent Column Switcher that has been added to the platform.


dt = Open( "$SAMPLE_DATA/Car Poll.jmp" );
obj = dt << Contingency( Y( :size ), X( :marital status ) );
ColumnSwitcherObject = obj << Column Switcher(
    :marital status,
    {:sex, :country, :marital status}
);
Wait( 2 );
obj << Remove Column Switcher;

Remove Local Data Filter

Syntax: obj << Remove Local Data Filter

Description: If a local data filter has been created, this removes it and restores the platform to use all the data in the data table directly


dt = Open( "$SAMPLE_DATA/Car Poll.jmp" );
dist = dt << Distribution(
    Nominal Distribution( Column( :country ) ),
    Local Data Filter(
        Add Filter( columns( :sex ), Where( :sex == "Female" ) ),
        Mode( Show( 1 ), Include( 1 ) )
    )
);
Wait( 2 );
dist << remove local data filter;

Render Preset

Syntax: Render Preset( preset )

Description: For testing purposes, show the platform rerun script that would be used when applying a platform preset to the platform in the log. No changes are made to the platform.

JMP Version Added: 18


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
obj = dt << Oneway( Y( :Height ), X( :Age ) );
obj << Render Preset( Expr( Oneway( Y( :A ), X( :B ), Each Pair( 1 ) ) ) );

Report

Syntax: obj << Report;Report( obj )

Description: Returns a reference to the report object.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
r = obj << Report;
t = r[Outline Box( 1 )] << Get Title;
Show( t );

Report View

Syntax: obj << Report View( "Full"|"Summary" )

Description: The report view determines the level of detail visible in a platform report. Full shows all of the detail, while Summary shows only select content, dependent on the platform. For customized behavior, display boxes support a <<Set Summary Behavior message.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Report View( "Summary" );

Save Script for All Objects

Syntax: obj << Save Script for All Objects

Description: Creates a script for all report objects in the window and appends it to the current Script window. This option is useful when you have multiple reports in the window.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Save Script for All Objects;

Save Script for All Objects To Data Table

Syntax: obj << Save Script for All Objects To Data Table( <name> )

Description: Saves a script for all report objects to the current data table. This option is useful when you have multiple reports in the window. The script is named after the first platform unless you specify the script name in quotes.

Example 1


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    ),
    By( _bycol )
);
obj[1] << Save Script for All Objects To Data Table;

Example 2


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    ),
    By( _bycol )
);
obj[1] << Save Script for All Objects To Data Table( "My Script" );

Save Script to Data Table

Syntax: Save Script to Data Table( <name>, < <<Prompt(0|1)>, < <<Replace(0|1)> );

Description: Create a JSL script to produce this analysis, and save it as a table property in the data table.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Save Script to Data Table( "My Analysis", <<Prompt( 0 ), <<Replace( 0 ) );

Save Script to Journal

Syntax: obj << Save Script to Journal

Description: Create a JSL script to produce this analysis, and add a Button to the journal containing this script.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Save Script to Journal;

Save Script to Report

Syntax: obj << Save Script to Report

Description: Create a JSL script to produce this analysis, and show it in the report itself. Useful to preserve a printed record of what was done.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Save Script to Report;

Save Script to Script Window

Syntax: obj << Save Script to Script Window

Description: Create a JSL script to produce this analysis, and append it to the current Script text window.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Save Script to Script Window;

SendToByGroup

Syntax: SendToByGroup( {":Column == level"}, command );

Description: Sends platform commands or display customization commands to each level of a by-group.


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
dt << Distribution(
    By( :Sex ),
    SendToByGroup(
        {:sex == "F"},
        Continuous Distribution( Column( :weight ), Normal Quantile Plot( 1 ) )
    ),
    SendToByGroup( {:sex == "M"}, Continuous Distribution( Column( :weight ) ) )
);

SendToEmbeddedScriptable

Syntax: SendToEmbeddedScriptable( Dispatch( "Outline name", "Element name", command );

Description: SendToEmbeddedScriptable restores settings of embedded scriptable objects.



dt = Open( "$SAMPLE_DATA/Reliability/Fan.jmp" );
dt << Life Distribution(
    Y( :Time ),
    Censor( :Censor ),
    Censor Code( 1 ),
    <<Fit Weibull,
    SendToEmbeddedScriptable(
        Dispatch(
            {"Statistics", "Parametric Estimate - Weibull", "Profilers", "Density Profiler"},
            {1, Confidence Intervals( 0 ), Term Value( Time( 6000, Lock( 0 ), Show( 1 ) ) )}
        )
    )
);

SendToReport

Syntax: SendToReport( Dispatch( "Outline name", "Element name", Element type, command );

Description: Send To Report is used in tandem with the Dispatch command to customize the appearance of a report.


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
dt << Distribution(
    Nominal Distribution( Column( :age ) ),
    Continuous Distribution( Column( :weight ) ),
    SendToReport( Dispatch( "age", "Distrib Nom Hist", FrameBox, {Frame Size( 178, 318 )} ) )
);

Sync to Data Table Changes

Syntax: obj << Sync to Data Table Changes

Description: Sync with the exclude and data changes that have been made.


dt = Open( "$SAMPLE_DATA/Cities.jmp" );
dist = Distribution( Continuous Distribution( Column( :POP ) ) );
Wait( 1 );
dt << Delete Rows( dt << Get Rows Where( :Region == "W" ) );
dist << Sync To Data Table Changes;

Title

Syntax: obj << Title( "new title" )

Description: Sets the title of the platform.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
obj << Title( "My Platform" );

Top Report

Syntax: obj << Top Report

Description: Returns a reference to the root node in the report.


dt = Open( "$SAMPLE_DATA/Tiretread.jmp" );
obj = dt << Contour Profiler(
    Y(
        :Pred Formula ABRASION, :Pred Formula MODULUS, :Pred Formula ELONG,
        :Pred Formula HARDNESS
    )
);
r = obj << Top Report;
t = r[Outline Box( 1 )] << Get Title;
Show( t );

View Web XML

Syntax: obj << View Web XML

Description: Returns the XML code that is used to create the interactive HTML report.


dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
obj = dt << Bivariate( Y( :Weight ), X( :Height ) );
xml = obj << View Web XML;