Pareto Plot

Columns

By

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

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Show Pareto Line( 1 ),
    By( _bycol )
);
obj << Show Pareto Bars( 0 );

Cause

Syntax: obj << Cause( column )

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );

Freq

Syntax: obj << Freq( column )

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
dt << New Column( "_freqcol", Numeric, Continuous, Formula( Random Integer( 1, 5 ) ) );
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Show Pareto Line( 1 ),
    Freq( _freqcol )
);
obj << Show Pareto Bars( 0 );

Grouping

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

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );

Subcategory

Syntax: obj << Subcategory( column )

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );

Weight

Syntax: obj << Weight( column )

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
dt << New Column( "_weightcol", Numeric, Continuous, Formula( Random Beta( 1, 1 ) ) );
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Show Pareto Line( 1 ),
    Weight( _weightcol )
);
obj << Show Pareto Bars( 0 );

X

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

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );

Y

Syntax: obj << Y( column )

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );

Item Messages

Alias

Syntax: obj << Alias( cause, alias )

Description: Sets a different name for a cause.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ), Alias( "doping", "substitution" ) );

Bar Label Format

Syntax: obj << Bar Label Format

Description: Sets the format for the Pareto bar labels.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure.jmp" );
obj = dt << Pareto Plot(
    Cause( :failure ),
    Freq( :N ),
    Label( 1 ),
    Bar Label Format( "Currency", "USD", Use thousands separator( 0 ), 12, 0 )
);

Bar Style

Syntax: obj << Bar Style( "Bar"|"Float" )

Description: Controls the display of the Pareto bars.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ) );
obj << Bar Style( Float );

Cause Colors

Syntax: obj << Cause Colors( { { causeName, color }, ...} )

Description: Changes the color of the specified bars.

JMP Version Added: 17

All Colors

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ), Show Cum Percent Points( 1 ) );
obj << Cause Colors( "Orange" );

Multiple Color List

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ), Show Cum Percent Points( 1 ) );
obj << Cause Colors( {{"miscellaneous", "Purple"}, {"silicon defect", "Red"}} );

Single Color List

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ), Show Cum Percent Points( 1 ) );
obj << Cause Colors( {"corrosion", "Light Gray"} );

Single RGB Color

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ), Show Cum Percent Points( 1 ) );
obj << Cause Colors( {117, 150, 200} );

Cause Labels

Syntax: obj << Cause Labels( { { causeName, 0|1 }, ...} )

Description: Displays the count as a label for the specified bars.

JMP Version Added: 17

All Causes

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ), Cause Labels( 1 ) );

List of Causes

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot(
    Cause( :failure ),
    Freq( :N ),
    Cause Labels( {{"contamination", 1}, {"oxide defect", 1}} )
);

Single Cause

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot(
    Cause( :failure ),
    Freq( :N ),
    Cause Labels( {"contamination", 1} )
);

Cause Markers

Syntax: obj << Cause Markers( { { causeName, marker }, ...} )

Description: Changes the cumulative percent marker shown on the graph for the specified bars.

JMP Version Added: 17

All Causes

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ), Show Cum Percent Points( 1 ) );
obj << Cause Markers( 1 );

List of Causes

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ), Show Cum Percent Points( 1 ) );
obj << Cause Markers( {{"miscellaneous", "Square"}, {"silicon defect", "Diamond"}} );

Single Cause

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ), Show Cum Percent Points( 1 ) );
obj << Cause Markers( {"silicon defect", "Diamond"} );

Combine Causes

Syntax: obj << Combine Causes( {cause1, cause2, ... } | << First(N) | << Last(N), <label> )

Description: Combines the specified causes into a single cause. The causes can be specified as a list of cause names or sending the First or Last message with a number of causes to combine. Optionally, a label for the combined cause can be specified.

Labeled

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot(
    Cause( :failure ),
    Freq( :N ),
    Combine Causes( {"miscellaneous", "silicon defect", "doping"}, "Others" )
);

No Label

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ) );
Wait( 2 );
obj << Combine Causes( {"miscellaneous", "silicon defect", "doping"} );

Send Last

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot(
    Cause( :failure ),
    Freq( :N ),
    Combine Causes( <<Last( 2 ), "Last 2" )
);

Cum Line Connect Style

Syntax: obj << Cum Line Connect Style( "Line"|"Curve"|"Step" )

Description: Controls the connection style of the cumulative percent line.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ) );
obj << Cum Line Connect Style( "Step" );

Cum Percent Curve Color

Syntax: obj << Cum Percent Curve Color( color )

Description: Changes the color of the cumulative percent curve on the graph.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ) );
obj << Cum Percent Curve Color( "Red" );

Cum Percent Label Format

Syntax: obj << Cum Percent Label Format

Description: Sets the format for the cumulative percent marker labels.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure.jmp" );
obj = dt << Pareto Plot(
    Cause( :failure ),
    Freq( :N ),
    Label Cum Percent Points( 1 ),
    Cum Percent Label Format( "Percent", 12, 1 )
);

Get Causes

Syntax: obj << Get Causes( <"First" | "Last" | "First %" | "Last %", number> )

Description: Returns a list of cause names from the Pareto plot based on the current order of appearance. If no options are provided, then all causes are returned. Otherwise, it uses the keyword and the number to return either the first N, last N, first N percent, or last N percent.

JMP Version Added: 17

Example 1

dt = Open( "$SAMPLE_DATA/Quality Control/Failures.jmp" );
obj = dt << Pareto Plot( Cause( :Causes ), Freq( :Count ) );
obj << Get Causes;

Example 2

dt = Open( "$SAMPLE_DATA/Quality Control/Failures.jmp" );
obj = dt << Pareto Plot( Cause( :Causes ), Freq( :Count ) );
obj << Get Causes( "First", 3 );

Example 3

dt = Open( "$SAMPLE_DATA/Quality Control/Failures.jmp" );
obj = dt << Pareto Plot( Cause( :Causes ), Freq( :Count ) );
obj << Get Causes( "Last %", 10 );

Example 4

dt = Open( "$SAMPLE_DATA/Quality Control/Failures.jmp" );
obj = dt << Pareto Plot(
    Cause( :Causes ),
    Freq( :Count ),
    Combine Causes( {"Corrosion", "Metallization", "Doping"}, "3 Others" ),
    Move to Last( {"3 Others"} )
);
obj << Get Causes( "Last", 3 );

Group Settings

Syntax: obj << Group Settings( Column, <Levels In View( number )>, <Start Level( number ), <Show Title (0|1)>, <Title Color( color )>, <Levels Color( color )> )

Description: Controls the appearance of the grouped Pareto

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Group Settings(
        :clean,
        Levels In View( 1 ),
        Start Level( 1 ),
        Title Color( "Blue" ),
        Levels Color( "Light Blue" )
    )
);

Label Cum Percent Points

Syntax: obj << Label Cum Percent Points( state=0|1 )

Description: Displays or hides the labels showing cumulative percentages for each bar on the graph.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ) );
obj << Label Cum Percent Points( 1 );

Legend Position

Syntax: obj << Legend Position( ("Right" | "Bottom" | "Left" | "Top") )

Description: Sets the position of the legend.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ) );
obj << Legend Position( "Bottom" );

Legend Settings

Syntax: obj << Legend Settings

Description: Opens a dialog to modify the properties of the legend.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ) );
Wait( 1 );
obj << Legend Settings();

Move to First

Syntax: obj << Move to First( {level1, level2, ...} | << First(N) | << Last(N) )

Description: Moves the bar(s) for the specified level(s) to appear first. The levels can be specified as a list of cause names or by sending the First or Last message with a number of causes to combine.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure Raw Data.jmp" );
obj = dt << Pareto Plot( Cause( :failure ) );
obj << Move to First( {"corrosion", "doping"} );

Move to Last

Syntax: obj << Move to Last( {level1, level2, ...} | << First(N) | << Last(N) )

Description: Moves the bar(s) for the specified level(s) to appear last. The levels can be specified as a list of cause names or by sending the First or Last message with a number of causes to combine.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure Raw Data.jmp" );
obj = dt << Pareto Plot( Cause( :failure ) );
obj << Move to Last( {"miscellaneous"} );

N Legend

Syntax: obj << N Legend( state=0|1 )

Description: Displays the total sample size in the plot area.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure Raw Data.jmp" );
obj = dt << Pareto Plot( Cause( :failure ) );
obj << N Legend( 1 );

No Plot

Syntax: obj << No Plot( state=0|1 )

Description: Closes the outline node for the Pareto plot.

dt = Open( "$SAMPLE_DATA/Quality Control/Failures.jmp" );
obj = dt << Pareto Plot( Cause( :Causes ), Freq( :Count ), Per Unit Rates( 1 ) );
obj << No Plot( 1 );

Orientation

Syntax: obj << Orientation( "Vertical"|"Horizontal" )

Description: Controls the orientation of the Pareto plot.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ) );
obj << Orientation( "Horizontal" );

Pareto Line Connect Style

Syntax: obj << Pareto Line Connect Style( "Line"|"Curve"|"Step" )

Description: Controls the connection style of the Pareto line.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot(
    Cause( :failure ),
    Freq( :N ),
    Show Pareto Line( 1 ),
    Show Pareto Bars( 0 )
);
obj << Pareto Line Connect Style( "Step" );

Per Unit Rates

Syntax: obj << Per Unit Rates( state=0|1 )

Description: Compares defect rates across groups. If a sample size is specified, defects per unit (DPU) and parts per million (PPM) columns are added to the report.

dt = Open( "$SAMPLE_DATA/Quality Control/Failures.jmp" );
obj = dt << Pareto Plot(
    Cause( :Causes ),
    Per Unit Analysis( Constant( Sample Size( 1000 ) ) ),
    Freq( :Count )
);
obj << Per Unit Rates( 1 );

Percent Scale

Syntax: obj << Percent Scale( state=0|1 )

Description: Displays the left vertical axis as a percent scale.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure Raw Data.jmp" );
obj = dt << Pareto Plot( Cause( :failure ) );
obj << Percent Scale( 1 );

Pie Chart

Syntax: obj << Pie Chart( state=0|1 )

Description: Displays the bars as a pie chart.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ) );
obj << Pie Chart( 1 );

Reorder Horizontal

Syntax: obj << Reorder Horizontal( level1, level2, ... )

Description: Reorders horizontally grouped Pareto plots when there are two or more groups.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ) );
Wait( 2 );
obj << Reorder Horizontal( "before", "after" );

Reorder Vertical

Syntax: obj << Reorder Vertical( level1, level2, ... )

Description: Reorders vertically grouped Pareto plots when there are two or more variables.

dt = Open( "$SAMPLE_DATA/Quality Control/Failures.jmp" );
obj = dt << Pareto Plot( Cause( :Causes ), X( :Process, :Day ), Freq( :Count ) );
Wait( 2 );
obj << Reorder Vertical( "Process B", "Process A" );

Separate Causes

Syntax: obj << Separate Causes

Description: Separates combined causes into separate bars.

Example 1

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ) );
obj << Combine Causes( {"miscellaneous", "silicon defect", "doping"} );
Wait( 2 );
obj << Separate Causes;

Example 2

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ) );
obj << Combine Causes( {"miscellaneous", "silicon defect", "doping"}, "Other Causes" );
Wait( 2 );
obj << Separate Causes( "Other Causes" );

Show Cum Percent Axis

Syntax: obj << Show Cum Percent Axis( state=0|1 )

Description: Displays or hides the cumulative percent axis on the right side of the plot. Note: Only available on the right most plot when an X or Grouping variable is present. On by default.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ) );
obj << Show Cum Percent Axis( 1 );

Show Cum Percent Curve

Syntax: obj << Show Cum Percent Curve( state=0|1 )

Description: Displays or hides the cumulative percent curve. On by default.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ) );
obj << Show Cum Percent Curve( 1 );

Show Cum Percent Points

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

Description: Displays or hides the cumulative percent points on the graph.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ) );
obj << Show Cum Percent Points( 1 );

Show Error Bars

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

Description: Shows or hides error bars on the Pareto bars for confidence range.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ) );
obj << Show Error Bars( 1 );

Show Pareto Bars

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

Description: Shows or hides the bars displaying the value for each cause. On by default.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );

Show Pareto Line

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

Description: Shows or hides a line that connects the values for each cause.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ) );
obj << Show Pareto Line( 1 );

Show Pareto Markers

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

Description: Shows or hides markers at the value for each cause.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ) );
obj << Show Pareto Markers( 1 );

Subcategory Bar Style

Syntax: obj << Subcategory Bar Style( "Side by side"|"Stacked"|"Bullet"|"Nested"|"Single"|"Needle"|"Float" )

Description: Controls the display of the bars when a subcategory is present.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot(
    Cause( :failure ),
    Subcategory( :clean ),
    Freq( :N ),
    Subcategory Bar Style( Stacked )
);

Subset

Syntax: obj << Subset

Description: Creates a subset data table from the selections in the Pareto plot

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failures.jmp" );
dt << Select Where( :Causes == "Corrosion" );
obj = dt << Pareto Plot( Cause( :Causes ), Freq( :Count ) );
obj << Subset;

Swap Group Orientation

Syntax: obj << Swap Group Orientation( state=0|1 )

Description: Swaps the horizontal and vertical groups. If there is only one group, changes the display orientation.

JMP Version Added: 17

One Group

dt = Open( "$SAMPLE_DATA/Quality Control/Failures.jmp" );
obj = dt << Pareto Plot( Cause( :Causes ), X( :Process ), Freq( :Count ) );
Wait( 2 );
obj << Swap Group Orientation( true );

Two Groups

dt = Open( "$SAMPLE_DATA/Quality Control/Failures.jmp" );
obj = dt << Pareto Plot( Cause( :Causes ), X( :Process, :Day ), Freq( :Count ) );
Wait( 2 );
obj << Swap Group Orientation( true );

Synchronize Y Axes

Syntax: obj << Synchronize Y Axes( state=0|1 )

Description: Locks the right y-axis so that zooming and panning is synchronized with the left y-axis On by default.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), Freq( :N ) );
obj << Synchronize Y Axes( 0 );

Tables Match Plot

Syntax: obj << Tables Match Plot( {<Per Unit Rates( 0|1 )>, <Test Rate Within Groups( 0|1 )>, <Test Rates Across Groups( 0|1 )>} )

Description: Controls whether the count analysis tables display the combined cause values that match the Pareto plot or the uncombined original causes. A value of 1 will show the combined cause values. A value of 0 will show the uncombined values. Not all tables must be specified in the command.

JMP Version Added: 17

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Per Unit Rates( 1 ),
    Test Rate Within Groups( 1 ),
    Test Rates Across Groups( 1 ),
    Combine Causes( {"silicon defect", "oxide defect", "doping"}, "3 Others" ),
    Move to Last( {"corrosion", "miscellaneous", "3 Others"} )
);
obj << Tables Match Plot(
    {Per Unit Rates( 1 ), Test Rate Within Groups( 1 ), Test Rates Across Groups( 1 )}
);

Test Rate Within Groups

Syntax: obj << Test Rate Within Groups( state=0|1 )

Description: Performs a likelihood ratio test within groups, testing whether the causes have equal ratios within the groups.

dt = Open( "$SAMPLE_DATA/Quality Control/Failures.jmp" );
obj = dt << Pareto Plot( Cause( :Causes ), X( :Process ), Freq( :Count ) );
obj << Test Rate Within Groups( 1 );

Test Rates Across Groups

Syntax: obj << Test Rates Across Groups( state=0|1 )

Description: Performs a likelihood ratio test across groups, testing whether the causes have equal ratios across the groups.

dt = Open( "$SAMPLE_DATA/Quality Control/Failures.jmp" );
obj = dt << Pareto Plot( Cause( :Causes ), X( :Process, :Day ), Freq( :Count ) );
obj << Test Rates Across Groups( 1 );

Threshold of Combined Causes

Syntax: obj << Threshold of Combined Causes

Description: Combines causes which fall below the threshold. This happens on initial platform launch.

Count

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot(
    Cause( :failure ),
    Freq( :N ),
    Threshold of Combined Causes( Count( 5 ) )
);

Tail %

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot(
    Cause( :failure ),
    Freq( :N ),
    Threshold of Combined Causes( Tail %( 25 ) )
);

Ungroup Plots

Syntax: obj << Ungroup Plots( state=0|1 )

Description: Separates grouped Pareto plots when there are two or more groups.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ) );
Wait( 2 );
obj << Ungroup Plots( 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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Show Pareto Line( 1 ),
    By( _bycol )
);
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Show Pareto Line( 1 ),
    By( _bycol )
);
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
t = obj << Get Script With Data Table;
Show( t );

Get Timing

Syntax: obj << Get Timing

Description: Times the platform launch.

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Show Pareto Line( 1 ),
    By( _bycol )
);
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Show Pareto Line( 1 ),
    By( _bycol )
);
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Show Pareto Line( 1 ),
    By( _bycol )
);
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Show Pareto Line( 1 ),
    By( _bycol )
);
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Show Pareto Line( 1 ),
    By( _bycol )
);
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Show Pareto Line( 1 ),
    By( _bycol )
);
obj << Show Pareto Bars( 0 );
obj[1] << Save Script for All Objects To Data Table;

Example 2

dt = Open( "$SAMPLE_DATA/Quality Control/Failure2.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Pareto Plot(
    Cause( :failure ),
    X( :clean ),
    Freq( :N ),
    Show Pareto Line( 1 ),
    By( _bycol )
);
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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/Quality Control/Failure2.jmp" );
obj = dt << Pareto Plot( Cause( :failure ), X( :clean ), Freq( :N ), Show Pareto Line( 1 ) );
obj << Show Pareto Bars( 0 );
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 = Show Pareto Bars(...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" ) ) )
);