Explore Patterns

Associated Constructors

Explore Patterns

Syntax: Explore Patterns( Y( columns ) )

Description: Searches for unusual features in the data, including long runs, duplicate long sequences, unusual formatted values, and runs of linear relationships.

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );

Columns

By

Syntax: obj << By( column(s) )

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ), By( :SITEID ) );

Y

Syntax: obj << Y( column(s) )

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );

Item Messages

Clear Cell Colors

Syntax: obj << Clear Cell Colors

Description: Clears the cell colors for selected columns or for all columns if no columns are selected. In JSL, you can specify a list of column names.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Minimum Rows for Linear Relationship( 3 ),
    Linear Relationships( 1 )
);
obj << Colorize Linear Relationships;
Wait( 2 );
obj << Clear Cell Colors;

Colorize Duplicates Across Columns

Syntax: obj << Colorize Duplicates Across Columns

Description: Colors cells in the data table to correspond to the duplicate matches found in the Duplicates Across Columns report.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Duplicates Across Columns( 1 )
);
obj << Colorize Duplicates Across Columns;

Colorize Linear Relationships

Syntax: obj << Colorize Linear Relationships

Description: Colors cells in the data table to correspond to the linear relationships found in the Linear relationships between variables table.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Minimum Rows for Linear Relationship( 3 ),
    Linear Relationships( 1 )
);
obj << Colorize Linear Relationships;

Distribution wrt Spec Limits

Syntax: obj << Distribution wrt Spec Limits( state=0|1 )

Description: Shows or hides a table of observed versus expected observations that are outside of the specification limits.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Semiconductor Capability.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Processes" ) ),
    Distribution wrt Spec Limits( 1 )
);

Duplicates Across Columns

Syntax: obj << Duplicates Across Columns( state=0|1 )

Description: Shows or hides a report that contains a table of sequences of values that appear in the same rows across more than one column.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Duplicates Across Columns( 1 )
);

Formatted Widths

Syntax: obj << Formatted Widths( state=0|1 )

Description: Shows or hides overall widths and decimal widths of the formatted values.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Formatted Widths( 1 )
);

Fraction Length

Syntax: obj << Fraction Length( state=0|1 )

Description: Shows or hides how long continued fractions are for the values. Random numbers show as 15, which is the limit. Irrational numbers tend to have higher fraction lengths, depending on how close to a fraction they are.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Fraction Length( 1 )
);

Include Missing

Syntax: obj = Explore Patterns(...Include Missing( state=0|1 )...)

Description: Specifies that missing values be included in pattern detection.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Include Missing( 1 )
);

Leading and Trailing Digits

Syntax: obj << Leading and Trailing Digits( state=0|1 )

Description: Shows or hides a table of counts for each leading and trailing digit, 1 through 9.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Leading and Trailing Digits( 1 )
);

Linear Relationships

Syntax: obj << Linear Relationships( state=0|1 )

Description: Shows or hides a report of columns that are linearly related to other columns over a specified number of sequential rows.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Minimum Rows for Linear Relationship( 3 ),
    Linear Relationships( 1 )
);

Longest Duplicated Sequences

Syntax: obj << Longest Duplicated Sequences( state=0|1 )

Description: Shows or hides a table of the longest sequence of values that appears more than once in the same column. On by default.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Longest Duplicated Sequences( 0 )
);
Wait( 2 );
obj << Longest Duplicated Sequences( 1 );

Longest Runs

Syntax: obj << Longest Runs( state=0|1 )

Description: Shows or hides longest runs of the same value. On by default.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ), Longest Runs( 0 ) );
Wait( 2 );
obj << Longest Runs( 1 );

Minimum Cross Column Duplicate Run Size

Syntax: obj = Explore Patterns(...Minimum Cross Column Duplicate Run Size( number=2 )...)

Description: Specifies the minimum length of a sequence for it to be reported as a duplicate sequence across columns. "2" by default.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Minimum Cross Column Duplicate Run Size( 3 ),
    Duplicates Across Columns( 1 )
);

Minimum Longest Duplicate Size

Syntax: obj = Explore Patterns(...Minimum Longest Duplicate Size( number=2 )...)

Description: Specifies the minimum length of a sequence for it to be reported as a duplicate sequence within a column. "2" by default.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Minimum Longest Duplicate Size( 5 ),

);

Minimum Rows for Linear Relationship

Syntax: obj = Explore Patterns(...Minimum Rows for Linear Relationship( number=10 )...)

Description: Specifies the minimum number of rows used for detecting linear relationships between columns across groups of rows. "10" by default.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Minimum Rows for Linear Relationship( 3 ),
    Linear Relationships( 1 )
);

Minimum Run Size

Syntax: obj = Explore Patterns(...Minimum Run Size( number=2 )...)

Description: Specifies the minimum number of values in a row for a sequence to be reported as a run. "2" by default.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Minimum Run Size( 3 )
);

Most Duplicated Values

Syntax: obj << Most Duplicated Values( state=0|1 )

Description: Shows or hides the most duplicated values. On by default.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Most Duplicated Values( 0 )
);
Wait( 2 );
obj << Most Duplicated Values( 1 );

Order by Column Name

Syntax: obj << Order by Column Name

Description: Orders the column list in alphabetical order by column name.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
Wait( 2 );
obj << Order by Column Name;

Order by Runs Rarity

Syntax: obj << Order by Runs Rarity

Description: Orders the column list by the rarity values of the longest runs. Higher rarity values appear at the top.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
Wait( 2 );
obj << Order by Runs Rarity;

Order by Sequence Rarity

Syntax: obj << Order by Sequence Rarity

Description: Orders the column list by the rarity values of the longest duplicate sequences. Higher rarity values appear at the top.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
Wait( 2 );
obj << Order by Sequence Rarity;

Original Order

Syntax: obj << Original Order

Description: Orders the column list in the original order in which the columns were specified in the launch window.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Order by Sequence Rarity
);
Wait( 2 );
obj << Original Order;

Save Duplicates Across Columns

Syntax: obj << Save Duplicates Across Columns

Description: Saves the Duplicates Across Columns table to a new data table.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Duplicates Across Columns( 1 )
);
obj << Save Duplicates Across Columns;

Save Linear Relationships

Syntax: obj << Save Linear Relationships

Description: Saves the linear relationships between values table to a new data table.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns(
    Y( Column Group( "Laboratory Results" ) ),
    Minimum Rows for Linear Relationship( 3 ),
    Linear Relationships( 1 )
);
obj << Save Linear Relationships;

Save Table of Duplicate Sequences

Syntax: obj << Save Table of Duplicate Sequences

Description: Saves the longest duplicate sequences for all columns to a new data table.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
obj << Save Table of Duplicate Sequences;

Save Table of Runs

Syntax: obj << Save Table of Runs

Description: Saves the longest runs for all columns to a new data table.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
obj << Save Table of Runs;

Select Columns

Syntax: obj << Select Columns( {list of columns} or ALL )

Description: Specifies the columns that are shown in the Univariate Patterns report.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
obj << Select Columns( {:BUN, :Creatinine, :Glucose} );

Spec Limit Matches

Syntax: obj << Spec Limit Matches( state=0|1 )

Description: Shows or hides values that are exactly equal to the lower specification limit, upper specification limit, or target.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Semiconductor Capability.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Processes" ) ), Spec Limit Matches( 1 ) );

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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ), 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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ), 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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
t = obj << Get Script With Data Table;
Show( t );

Get Timing

Syntax: obj << Get Timing

Description: Times the platform launch.

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ), 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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ), 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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ), 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/Nicardipine Lab Patterns.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ), 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/Nicardipine Lab Patterns.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ), 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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ), By( _bycol ) );
obj[1] << Save Script for All Objects To Data Table;

Example 2

dt = Open( "$SAMPLE_DATA/Nicardipine Lab Patterns.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ), 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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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/Nicardipine Lab Patterns.jmp" );
obj = dt << Explore Patterns( Y( Column Group( "Laboratory Results" ) ) );
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 = Explore Patterns(...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" ) ) )
);