Mixture Profiler

Associated Constructors

Mixture Profiler

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

Description: Produces an interactive ternary plot that enables you to explore the contours of the saved prediction formulas for mixture models with three or more factors.

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

Columns

Noise Factors

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

Description: Specifies the response columns that contain formulas.

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

Y

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

Description: Specifies the response columns that contain formulas.

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

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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
obj << Append Settings to Table;

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;

Contour Grid

Syntax: obj << Contour Grid( minimum, maximum, increment, y column )

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

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
Wait( 1 );
obj << Contour Grid( 5, 20, 3, :PredFormula Y );

Contour Profiler

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

Description: Shows or hides the Contour Profiler.

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
obj << Contour Profiler( 1 );

Contour Value

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

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

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
obj << Contour Value( Pred Formula Y( 18.167, Min( 5 ), Max( 20 ) ) );

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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
obj << Custom Profiler( 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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
obj << Get Factor Settings Script;

Get Simulator

Syntax: obj << Get Simulator

Description: Returns a reference to the Simulator.

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

Left Factor

Syntax: obj << Left Factor( column )

Description: Specifies the factor that is shown on the left side of the ternary graph.

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
Wait( 1 );
obj << Left Factor( :p1 );

Link Profilers

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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
obj << Prediction Profiler( 1 );
obj << Contour Profiler( 1 );
obj << Link Profilers( 1 );
Wait( 1 );
obj << Term Value( :Silica( 1.78 ), :Sulfur( 2.34 ) );

Number of Grid Points

Syntax: obj = Mixture Profiler(...Number of Grid Points( number )...)

Description: Specifies the number of grid points on each of the three axes to use for the evaluation of the contours.

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ), Number of Grid Points( 100 ) );
Wait( 1 );
obj << Number of Grid Points( 140 );

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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
obj << Remember Settings;

Remove Contour Grid

Syntax: obj << Remove Contour Grid

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

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
obj << Contour Grid( 5, 20, 3, :PredFormula Y );
Wait( 1 );
obj << Remove Contour Grid;

Reset

Syntax: obj << Reset

Description: Updates the predictions at the current values.

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = Mixture Profiler( Y( :Pred Formula Y ) );
obj << Term Value( :p1( 0.804905315083495 ), :p2( 0.0286246849165042 ), :p3( 0.15647 ) );
obj << Reset;

Right Factor

Syntax: obj << Right Factor( column )

Description: Specifies the factor that is shown on the right side of the ternary graph.

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
Wait( 1 );
obj << Right Factor( :p2 );

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 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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
Wait( 2 );
obj << Set to Data in Row( 4 );

Show Constraints

Syntax: obj << Show Constraints( state=0|1 )

Description: Shows or hides the shading that results from any constraints on the factors. On by default.

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
dt << New Property( "Constraint", {:p2 + :p3 <= :p1} );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
Wait( 1 );
obj << Show Constraints( 0 );

Show Current Value

Syntax: obj << Show Current Value( state=0|1 )

Description: Shows or hides a three-way crosshair at the current mixture values on the ternary graph. On by default.

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ), Show Current Value( 0 ) );
Wait( 1 );
obj << Show Current Value( 1 );

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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
obj << Show Formulas;

Show Points

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

Description: Shows or hides the individual points on the ternary graph. On by default.

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ), Show Points( 0 ) );
Wait( 1 );
obj << Show Points( 1 );

Specify Factor Values

Syntax: obj << Specify Factor Values

Description: Opens a window that enables you to specify factor values.

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
obj << Specify Factor Values;

Surface Profiler

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

Description: Shows or hides the Surface Profiler.

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
obj << Surface Profiler( 1 );

Term Value

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

Description: Sets specific term values for the factors in the mixture profiler.

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
Wait( 1 );
obj << Term Value( :p1( 0.804905315083495 ), :p2( 0.0386246849165042 ), :p3( 0.15647 ) );

Top Factor

Syntax: obj << Top Factor( column )

Description: Specifies the factor that is shown on the top side of the ternary graph.

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
Wait( 1 );
obj << Top Factor( :p3 );

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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
Wait( 1 );
obj << Up Dots( 0 );

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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
t = obj << Get Script With Data Table;
Show( t );

Get Timing

Syntax: obj << Get Timing

Description: Times the platform launch.

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

Example 2

dt = Open( "$SAMPLE_DATA/Plasticizer.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Mixture Profiler( Y( :Pred Formula Y ), 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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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/Plasticizer.jmp" );
obj = dt << Mixture Profiler( Y( :Pred Formula Y ) );
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;