Contour Plot

Associated Constructors

Contour Plot

Syntax: Contour Plot( X( column, column ), Y( column ) )

Description: Produces a graph of three variables in a two-dimensional view, where the third variable is represented by contour curves of equal value.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );

Columns

By

Syntax: obj = Contour Plot(...<By( column(s) )>...)

Description: Produce multiple reports, one for each level of the variable(s).

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ), By( _bycol ) );

X

Syntax: obj = Contour Plot(...X( column, column )...)

Description: Two independent variables that define the domain.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );

Y

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

Description: The response variable that will be used to compute curves of constant value over the domain.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );

Item Messages

Fill Areas

Syntax: obj << Fill Areas( state=0|1 )

Description: Fills the areas between the contours with a solid color on the contour plot.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Fill Areas( 1 );

Fit to Window

Syntax: obj << Fit to Window( "Auto"|"On"|"Off" )

Description: Sets the auto stretching behavior of the report.

JMP Version Added: 16

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Fit to Window( "Off" );

Generate Grid

Syntax: dt = obj << Generate Grid( Xsize, Ysize )

Description: Saves a grid of the contour information in a new data table for contours currently drawn on the contour plot.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Generate Grid( 11, 11 );

Label Contours

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

Description: Shows or hides the label or z-value of the contour lines.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Label Contours( 1 );

Retrieve Contours

Syntax: obj << Retrieve Contours( table )

Description: Retrieves contour information stored in a data table for contours drawn on the contour plot.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Specify Contours(
    Min( -4 ),
    Max( 6 ),
    N( 3 ),
    Contour( 1, -4, -2768895 ),
    Contour( 2, 1, -9344469 ),
    Contour( 3, 6, -13927556 )
);
obj << Save Contours;
obj << Revert Contours;
obj << Retrieve Contours( Data Table( "Contours from Little Pond" ) );

Revert Contours

Syntax: obj << Revert Contours

Description: Reverts any changes to contours drawn on the contour plot.

JMP Version Added: 16

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Specify Contours(
    Min( -4 ),
    Max( 8 ),
    N( 4 ),
    Contour( 1, -4, -2768895 ),
    Contour( 2, 0, -7700704 ),
    Contour( 3, 4, -12632256 ),
    Contour( 4, 8, -14575206 ),
    Contour( 5, 8, -16517899 )
);
Wait( 2 );
obj << Revert Contours;

Save Contours

Syntax: dt = obj << Save Contours

Description: Saves contour information stored in a new data table for contours currently drawn on the contour plot.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Save Contours;

Save Triangulation

Syntax: dt = obj << Save Triangulation

Description: Lists the coordinates of each triangle used to construct the contours in a new data table.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Save Triangulation;

Set Alpha

Syntax: obj << Set Alpha( number )

Description: Set the alpha value to control the shape of the boundary. A value of 0 results in the convex hull of the point set. Larger values of alpha remove triangles with long edges.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Contour Plot( X( :Longitude, :Latitude ), Y( :Pop ), Fill Areas( 1 ) );
obj << Set Alpha( 0.06 );

Show Boundary

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

Description: Shows or hides the boundary around the total contour area on the contour plot. On by default.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Show Boundary( 1 );

Show Contours

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

Description: Shows or hides the data points on the contour plot. On by default.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Show Contours( 1 );

Show Control Panel

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

Description: Shows or hides the controls for the shape boundary.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Contour Plot( X( :Longitude, :Latitude ), Y( :Pop ), Fill Areas( 1 ) );
obj << Set Alpha( 0.06 );
obj << Show Control Panel( 1 );

Show Data Points

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

Description: Shows or hides the data points on the contour plot.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Show Data Points( 1 );

Show Missing Data Points

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

Description: Shows or hides points with missing Y values if data points are shown

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
dt << New Column( "SqrtZ", Numeric, Continuous, Formula( Sqrt( Z ) ) );
r = dt << Select Where( :Z < 0 );
r << Colors( "Red" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :SqrtZ ) );
obj << Show Data Points( 1 );
Wait( 2 );
obj << Show Missing Data Points( 1 );

Specify Contours

Syntax: obj << Specify Contours( Min( value ), Max( value ), N( number ), Contour(1, value, color), Contour(2, value, color), ... Contour(n+1, value, color) )

Description: Changes the number and size of the contours on the contour plot.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Specify Contours(
    Min( -4 ),
    Max( 8 ),
    N( 4 ),
    Contour( 1, -4, -2768895 ),
    Contour( 2, 0, -7700704 ),
    Contour( 3, 4, -12632256 ),
    Contour( 4, 8, -14575206 ),
    Contour( 5, 8, -16517899 )
);

Transform

Syntax: obj << Transform( "None"|"Range Normalized" )

Description: Set the transform for the triangulation computation. Transformation will not affect the coordinates of the output, but the triangulation will be computed in the transformed space. This might result in a different triangulation depending on the aspect ratio of the coordinate space and transformed space.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Contour Plot( X( :Longitude, :Latitude ), Y( :Pop ), Fill Areas( 1 ) );
Wait( 2 );
obj << Transform( "Range Normalized" );

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" ) );

Automatic Recalc

Syntax: obj << Automatic Recalc( state=0|1 )

Description: Redoes the analysis automatically for exclude and data changes. If the Automatic Recalc option is turned on, you should consider using Wait(0) commands to ensure that the exclude and data changes take effect before the recalculation.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Automatic Recalc( 1 );
dt << Select Rows( 5 ) << Exclude( 1 );

Broadcast

Syntax: obj << Broadcast(message)

Description: Broadcasts a message to a platform. If return results from individual objects are tables, they are concatenated if possible, and the final format is identical to either the result from the Save Combined Table option in a Table Box or the result from the Concatenate option using a Source column. Other than those, results are stored in a list and returned.

JMP Version Added: 18

dt = Open( "$SAMPLE_DATA/Quality Control/Diameter.jmp" );
objs = Control Chart Builder(
    Variables( Subgroup( :DAY ), Y( :DIAMETER ) ),
    By( :OPERATOR )
);
objs[1] << Broadcast( Save Summaries );

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 ByGroup Script

Syntax: obj << Copy ByGroup Script

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

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ), By( _bycol ) );
obj[1] << Copy ByGroup Script;

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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
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 ByGroup Script

Syntax: obj << Get ByGroup Script

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

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ), By( _bycol ) );
t = obj[1] << Get ByGroup Script;
Show( t );

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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
t = obj << Get Datatable;
Show( N Rows( t ) );

Get Group Platform

Syntax: obj << Get Group Platform

Description: Return the Group Platform object if this platform is part of a Group. Otherwise, returns Empty().

dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
biv = dt << Bivariate( Y( :weight ), X( :height ), By( :sex ) );
group = biv[1] << Get Group Platform;
Wait( 1 );
group << Layout( "Arrange in Tabs" );

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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
t = obj << Get Script With Data Table;
Show( t );

Get Timing

Syntax: obj << Get Timing

Description: Times the platform launch.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Redo Analysis;

Redo ByGroup Analysis

Syntax: obj << Redo ByGroup Analysis

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

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ), By( _bycol ) );
obj[1] << Redo ByGroup 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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Relaunch Analysis;

Relaunch ByGroup

Syntax: obj << Relaunch ByGroup

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

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ), By( _bycol ) );
obj[1] << Relaunch ByGroup;

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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
obj << Report View( "Summary" );

Save ByGroup Script to Data Table

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

Description: Creates a JSL script to produce this analysis, and save it as a table property in the data table. You can specify a name for the script. The Append Suffix option appends a numeric suffix to the script name, which differentiates the script from an existing script with the same name. The Prompt option prompts the user to specify a script name. The Replace option replaces an existing script with the same name.

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ), By( _bycol ) );
obj[1] << Save ByGroup Script to Data Table;

Save ByGroup Script to Journal

Syntax: obj << Save ByGroup 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/Little Pond.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ), By( _bycol ) );
obj[1] << Save ByGroup Script to Journal;

Save ByGroup Script to Script Window

Syntax: obj << Save ByGroup 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/Little Pond.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ), By( _bycol ) );
obj[1] << Save ByGroup Script to Script Window;

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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
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/Little Pond.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ), By( _bycol ) );
obj[1] << Save Script for All Objects To Data Table;

Example 2

dt = Open( "$SAMPLE_DATA/Little Pond.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ), 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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
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/Little Pond.jmp" );
obj = dt << Contour Plot( X( :X, :Y ), Y( :Z ) );
r = obj << Top Report;
t = r[Outline Box( 1 )] << Get Title;
Show( t );

Transform Column

Syntax: obj = <Platform>(... Transform Column(<name>, Formula(<expression>), [Random Seed(<n>)], [Numeric|Character|Expression], [Continuous|Nominal|Ordinal|Unstructured Text], [column properties]) ...)

Description: Create a transform column in the local context of an object, usually a platform. The transform column is active only for the lifetime of the platform.

JMP Version Added: 16

dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
dt << Distribution(
    Transform Column( "age^2", Format( "Fixed Dec", 5, 0 ), Formula( :age * :age ) ),
    Continuous Distribution( Column( :"age^2"n ) )
);

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;

Window View

Syntax: obj = Contour Plot(...Window View( "Visible"|"Invisible"|"Private" )...)

Description: Set the type of the window to be created for the report. By default a Visible report window will be created. An Invisible window will not appear on screen, but is discoverable by functions such as Window(). A Private window responds to most window messages but is not discoverable and must be addressed through the report object

dt = Open( "$SAMPLE_DATA/Big Class.jmp" );
biv = dt << Bivariate( Window View( "Private" ), Y( :weight ), X( :height ), Fit Line );
eqn = Report( biv )["Linear Fit", Text Edit Box( 1 )] << Get Text;
biv << Close Window;
New Window( "Bivariate Equation",
    Outline Box( "Big Class Linear Fit", Text Box( eqn, <<Set Base Font( "Title" ) ) )
);