Variability Chart

Associated Constructors

Variability Chart

Syntax: Variability Chart( Y( column ), X( columns ) )

Description: Analyzes continuous measurements to determine how your measurement system is performing. You can also perform a gauge study to see measures of variation in your data.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );

Columns

By

Syntax: obj = Variability Chart(...<By( column(s) )>...)

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

dt = Open( "$SAMPLE_DATA/Variability Data/3 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :new Y ),
    X( :Operator, :part ),
    Model( "Crossed" ),
    By( :Instrument )
);

Freq

Syntax: obj = Variability Chart(...<Freq( column )>...)

Description: A column whose values assign a frequency to each row for the analysis.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
dt << New Column( "_freqcol", Numeric, Continuous, Formula( Random Integer( 1, 5 ) ) );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ), Freq( _freqcol ) );

Grouping

Syntax: obj = Variability Chart(...<Grouping( column(s) )>...)

Description: Specifies categorical column(s) as grouping variables. The last column in the list should be the part or unit being measured.

Example 1

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );

Example 2

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), Grouping( :Operator, :part# ) );

Response

Syntax: obj = Variability Chart(...Response( column(s) )...)

Description: Specifies the continuous column(s) of measurements.

Example 1

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );

Example 2

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Response( :Measurement ), X( :Operator, :part# ) );

Standard

Syntax: obj = Variability Chart(...<Standard( column )>...)

Description: Specifies a standard or reference column that contains the known values for the measured part.

dt = Open( "$SAMPLE_DATA/Variability Data/MSALinearity.jmp" );
obj = dt << Variability Chart(
    Y( :Response ),
    X( :Part ),
    Standard( :Standard ),
    Variability Analysis( :Response, Std Dev Chart( 0 ), Linearity Study( 1 ) )
);

X

Syntax: obj = Variability Chart(...<X( column(s) )>...)

Description: Specifies categorical column(s) as grouping variables. The last column in the list should be the part or unit being measured.

Example 1

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );

Example 2

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), Grouping( :Operator, :part# ) );

Y

Syntax: obj = Variability Chart(...Y( column(s) )...)

Description: Specifies the continuous column(s) of measurements.

Example 1

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );

Example 2

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Response( :Measurement ), X( :Operator, :part# ) );

Item Messages

Analysis Type

Syntax: obj = Variability Chart(...Analysis Type( "Choose best analysis (EMS REML Bayesian)"|"Choose best analysis (EMS REML)"|"Use REML analysis"|"Use Bayesian analysis" )...)

Description: Identifies the method used for computing variance components.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" ),
    Analysis Type( "Use REML analysis" )
);
obj << (Variability Analysis[1] << Variance Components( 1 ));

Conv Limit

Syntax: obj = Variability Chart(...Conv Limit( number )...)

Description: Sets the convergence limit that is used for computing variance components. This option affects only REML analyses.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" ),
    Analysis Type( "Use REML analysis" ),
    Conv Limit( 0.0000001 )
);
obj << (Variability Analysis[1] << Variance Components( 1 ));

Edit MSA Metadata

Syntax: obj << Edit MSA Metadata( :column( Lower Tolerance( number ), Upper Tolerance( number ), <Historical Mean( number ), Historical Process Sigma( number )> ) )

Description: Opens a window that enables you to add or edit the tolerance range, tolerance limits, historical mean, and historical process sigma for all analyses. The reports are automatically updated.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" ),
    MSA Metadata( :Measurement( Lower Tolerance( .2 ), Upper Tolerance( 1.3 ) ) ),
    Variability Analysis( "Measurement", Misclassification Probabilities( 1 ) )
);
Wait( 1 );
obj << Edit MSA Metadata( :Measurement( Lower Tolerance( .1 ), Upper Tolerance( 1.4 ) ) );

Max Iter

Syntax: obj = Variability Chart(...Max Iter( number )...)

Description: Sets the maximum number of iterations that are used for computing variance components. This option affects only REML analyses.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" ),
    Analysis Type( "Use REML analysis" ),
    Max Iter( 50 )
);
obj << (Variability Analysis[1] << Variance Components( 1 ));

Number Function Evals

Syntax: obj = Variability Chart(...Number Function Evals( number )...)

Description: Sets the maximum number of function evaluations that are used for computing variance components. This option affects only Bayesian analyses.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" ),
    Analysis Type( "Use Bayesian analysis" ),
    Number Function Evals( 10000 )
);
obj << (Variability Analysis[1] << Variance Components( 1 ));

Number Integration Abscissas

Syntax: obj = Variability Chart(...Number Integration Abscissas( number )...)

Description: Sets the number of integration abscissas that are used for computing variance components. This option affects only Bayesian analyses.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" ),
    Analysis Type( "Use Bayesian analysis" ),
    Number Integration Abscissas( 90 )
);
obj << (Variability Analysis[1] << Variance Components( 1 ));

Save All Metadata to Table

Syntax: obj << Save All Metadata to Table( < MSA( state=0|1 ) >, < Measurement Sigma( state=0|1 ) >, < Tolerance as Specs( state=0|1 ) > )

Description: Creates a new data table that contains the MSA metadata and Measurement Sigma for each column of measurement data. The table is in a tall format and contains a row for each measurement variable. There is an option to save the lower and upper tolerance values as additional columns in the data table.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    MSA Metadata(
        :Measurement(
            Lower Tolerance( 0.2 ),
            Upper Tolerance( 1.3 ),
            Historical Process Sigma( 0.2 )
        )
    ),
    Model( "Crossed" ),
    Variability Analysis( "Measurement", "Gauge R&R Report"n( 1 ) )
);
obj << Save All Metadata to Table;

Save Metadata as Column Properties

Syntax: obj << Save Metadata as Column Properties( < MSA( 0|1 ) >, < Measurement Sigma( 0|1 ) >, < Tolerance as Specs( 0|1 ) > )

Description: For each column of measurement data, saves the MSA metadata and Measurement Sigma as column properties within the column of the original data table. There is an option to save the lower and upper tolerance values as Spec Limits column properties.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    MSA Metadata(
        :Measurement(
            Lower Tolerance( 0.2 ),
            Upper Tolerance( 1.3 ),
            Historical Process Sigma( 0.2 )
        )
    ),
    Model( "Crossed" ),
    Variability Analysis( "Measurement", "Gauge R&R Report"n( 1 ) )
);
obj << Save Metadata as Column Properties;

Set Alpha Level

Syntax: obj = Variability Chart(...Set Alpha Level( number )...)

Description: Changes the alpha level that is used for confidence intervals and mean diamonds. This option corresponds to the Specify Alpha Level option in the Variability Chart launch window.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Set Alpha Level( .1 )
);
obj << (Variability Analysis[1] << Mean Diamonds( 1 ));

Set Random Seed

Syntax: obj = Variability Chart(...Set Random Seed( number )...)

Description: Sets the random seed to a specific value assuring that all subsequent runs using the same seed are reproducible.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" ),
    Set Random Seed( 1234 )
);
obj << (Variability Analysis[1] << Heterogeneity of Variance Tests( 1 ));

Sigma Multiplier

Syntax: obj = Variability Chart(...Sigma Multiplier( number=6 )...)

Description: Specifies a constant value that is multiplied by sigma. "6" by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" ),
    Sigma Multiplier( 5.15 ),
    Variability Analysis( "Measurement", "Gauge R&R Report"n( 1 ) )
);

Variability Analysis

Syntax: obj << Variability Analysis

Description: Specifies the Variability Analysis report options for each measurement response.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" ),
    Variability Analysis( "Measurement", Variance Components( 1 ), "Gauge R&R Report"n( 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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ), 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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ), 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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
t = obj << Get Script With Data Table;
Show( t );

Get Timing

Syntax: obj << Get Timing

Description: Times the platform launch.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ), 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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ), 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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ), 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/Variability Data/2 Factors Crossed.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ), 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/Variability Data/2 Factors Crossed.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ), 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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ), By( _bycol ) );
obj[1] << Save Script for All Objects To Data Table;

Example 2

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ), 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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
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 = Variability Chart(...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" ) ) )
);

Variability Analysis > Bias Report

Item Messages

Confidence Intervals

Syntax: obj << (Variability Analysis[number] << Bias Report(Confidence Intervals( state=0|1 )))

Description: Shows or hides confidence intervals on the graph in the Measurement Bias Report by Standard section. This option is available only when a standard variable is specified in the launch window.

dt = Open( "$SAMPLE_DATA/Variability Data/MSALinearity.jmp" );
obj = dt << Variability Chart(
    Y( :Response ),
    X( :Part ),
    Standard( :Standard ),
    Std Dev Chart( 0 )
);
obj << (Variability Analysis[1] << Bias Report( Confidence Intervals( 1 ) ));

Measurement Error Graphs

Syntax: obj << (Variability Analysis[number] << Bias Report(Measurement Error Graphs( state=0|1 )))

Description: Shows or hides measurement error charts of the bias by part. This option is available only when a standard variable is specified in the launch window.

dt = Open( "$SAMPLE_DATA/Variability Data/MSALinearity.jmp" );
obj = dt << Variability Chart(
    Y( :Response ),
    X( :Part ),
    Standard( :Standard ),
    Std Dev Chart( 0 )
);
obj << (Variability Analysis[1] << Bias Report( Measurement Error Graphs( 1 ) ));

Variability Analysis > Heterogeneity of Variance Test

Item Messages

Point Options

Syntax: obj << (Variability Analysis[number] << Heterogeneity of Variance Tests(1, Point Options("Show Needles" | "Show Connected Points" | "Show Only Points")))

Description: Specifies the drawing style of the points in the chart. You can choose between vertical needles, connected points, and points only. By default, the chart is drawn with needles that connect the points to the horizontal line that is drawn at the average.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = Variability Chart( Y( :Measurement ), X( :Operator, :part# ), Model( "Crossed" ) );
obj << (Variability Analysis[1] <<
Heterogeneity of Variance Tests( 1, Point Options( Show Only Points ) ));

Set Alpha Level

Syntax: obj << (Variability Analysis[number] << Heterogeneity of Variance Tests(1, Set Alpha Level( number )))

Description: Changes the alpha level used to compute the decision limits.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = Variability Chart( Y( :Measurement ), X( :Operator, :part# ), Model( "Crossed" ) );
obj << (Variability Analysis[1] <<
Heterogeneity of Variance Tests( 1, Set Alpha Level( 0.1 ) ));

Show Center Line

Syntax: obj << (Variability Analysis[number] << Heterogeneity of Variance Tests(1, Show Center Line(state=0|1)))

Description: Shows or hides the center line (overall mean ADM). On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = Variability Chart( Y( :Measurement ), X( :Operator, :part# ), Model( "Crossed" ) );
obj << (Variability Analysis[1] <<
Heterogeneity of Variance Tests( 1, Show Center Line( 0 ) ));

Show Decision Limit Shading

Syntax: obj << (Variability Analysis[number] << Heterogeneity of Variance Tests(1, Show Decision Limit Shading(state=0|1)))

Description: Shows or hides the decision limit shading for the ANOMV-Levene (ADM) chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = Variability Chart( Y( :Measurement ), X( :Operator, :part# ), Model( "Crossed" ) );
obj << (Variability Analysis[1] <<
Heterogeneity of Variance Tests( 1, Show Decision Limit Shading( 0 ) ));

Show Decision Limits

Syntax: obj << (Variability Analysis[number] << Heterogeneity of Variance Tests(1, Show Decision Limits(state=0|1)))

Description: Shows or hides the decision limit lines for the ANOMV-Levene (ADM) chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = Variability Chart( Y( :Measurement ), X( :Operator, :part# ), Model( "Crossed" ) );
obj << (Variability Analysis[1] <<
Heterogeneity of Variance Tests( 1, Show Decision Limits( 0 ) ));

Show Summary Report

Syntax: obj << (Variability Analysis[number] << Heterogeneity of Variance Tests(1, Show Summary Report(state=0|1)))

Description: Shows or hides a report that contains the group standard deviations and corresponding decision limits.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = Variability Chart( Y( :Measurement ), X( :Operator, :part# ), Model( "Crossed" ) );
obj << (Variability Analysis[1] <<
Heterogeneity of Variance Tests( 1, Show Summary Report( 1 ) ));

Variability Analysis > Linearity Study

Item Messages

Linearity by Groups

Syntax: obj << (Variability Analysis[number] << Linearity Study(1, Linearity By Groups( state=0|1 )))

Description: Shows or hides individual linearity graphs for each factor in the model.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    MSA Metadata( :Response( Historical Process Sigma( .6 ) ) ),
    Standard( :Standard ),
    Model( "Crossed" )
);
obj << (Variability Analysis[1] << Linearity Study( 1, Linearity By Groups( 1 ) ));

Set Alpha Level

Syntax: obj << (Variability Analysis[number] << Linearity Study(1, Set Alpha Level( number )))

Description: Specifies the alpha level that is used to compute the bias confidence limits. "0.05" by default.

dt = Open( "$SAMPLE_DATA/Variability Data/MSALinearity.jmp" );
obj = dt << Variability Chart(
    Y( :Response ),
    X( :Part ),
    MSA Metadata( :Response( Historical Process Sigma( .6 ) ) ),
    Standard( :Standard )
);
obj << (Variability Analysis[1] << Linearity Study( 1, Set Alpha Level( .01 ) ));

Show Avg Bias Points

Syntax: obj << (Variability Analysis[number] << Linearity Study(1, Show Avg Bias Points( state=0|1 )))

Description: Shows or hides the average bias points on the graph. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    MSA Metadata( :Response( Historical Process Sigma( .6 ) ) ),
    Standard( :Standard ),
    Model( "Crossed" )
);
obj << (Variability Analysis[1] << Linearity Study( 1, Show Avg Bias Points( 1 ) ));
Wait( 1 );
obj << (Variability Analysis[1] << Linearity Study( 1, Show Avg Bias Points( 0 ) ));
Wait( 1 );
obj << (Variability Analysis[1] << Linearity Study( 1, Show Avg Bias Points( 1 ) ));

Show Bias Points

Syntax: obj << (Variability Analysis[number] << Linearity Study(1, Show Bias Points( state=0|1 )))

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

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Metadata( :Response( Historical Process Sigma( .6 ) ) ),
    Standard( :Standard ),
    Model( "Crossed" )
);
obj << (Variability Analysis[1] << Linearity Study( 1, Show Bias Points( 1 ) ));
Wait( 1 );
obj << (Variability Analysis[1] << Linearity Study( 1, Show Bias Points( 0 ) ));
Wait( 1 );
obj << (Variability Analysis[1] << Linearity Study( 1, Show Bias Points( 1 ) ));

Show Fit Confidence Curves

Syntax: obj << (Variability Analysis[number] << Linearity Study(1, Show Fit Confidence Curves( state=0|1 )))

Description: Shows or hides the line of fit confidence curves on the graph. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Metadata( :Response( Historical Process Sigma( .6 ) ) ),
    Standard( :Standard ),
    Model( "Crossed" )
);
obj << (Variability Analysis[1] << Linearity Study( 1, Show Fit Confidence Curves( 1 ) ));
Wait( 1 );
obj << (Variability Analysis[1] << Linearity Study( 1, Show Fit Confidence Curves( 0 ) ));
Wait( 1 );
obj << (Variability Analysis[1] << Linearity Study( 1, Show Fit Confidence Curves( 1 ) ));

Show Line of Fit

Syntax: obj << (Variability Analysis[number] << Linearity Study(1, Show Line of Fit( state=0|1 )))

Description: Shows or hides the line of fit on the graph. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Metadata( :Response( Historical Process Sigma( .6 ) ) ),
    Standard( :Standard ),
    Model( "Crossed" )
);
obj << (Variability Analysis[1] << Linearity Study( 1, Show Line of Fit( 1 ) ));
Wait( 1 );
obj << (Variability Analysis[1] << Linearity Study( 1, Show Line of Fit( 0 ) ));
Wait( 1 );
obj << (Variability Analysis[1] << Linearity Study( 1, Show Line of Fit( 1 ) ));

Show Overall Avg Bias Line

Syntax: obj << (Variability Analysis[number] << Linearity Study(1, Show Overall Avg Bias Line( state=0|1 )))

Description: Shows or hides the overall average bias line on the graph. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Metadata( :Response( Historical Process Sigma( .6 ) ) ),
    Standard( :Standard ),
    Model( "Crossed" )
);
obj << (Variability Analysis[1] << Linearity Study( 1, Show Overall Avg Bias Line( 1 ) ));
Wait( 1 );
obj << (Variability Analysis[1] << Linearity Study( 1, Show Overall Avg Bias Line( 0 ) ));
Wait( 1 );
obj << (Variability Analysis[1] << Linearity Study( 1, Show Overall Avg Bias Line( 1 ) ));

Variability Analysis

Item Messages

AIAG Labels

Syntax: obj << (Variability Analysis[number] << AIAG Labels( state=0|1 ))

Description: Shows or hides the labels in the Gauge R&R output. The labels are defined by the Automotive Industry Action Group (AIAG). On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" ),
    Analysis Type( "Choose best analysis(EMS REML)" ),
    Variability Analysis( "Measurement", "Gauge R&R Report"n( 1 ) ),

);
Wait( 1 );
obj << (Variability Analysis[1] << AIAG Labels( 0 ));
Wait( 1 );
obj << (Variability Analysis[1] << AIAG Labels( 1 ));

Bias Report

Syntax: obj << (Variability Analysis[number] << Bias Report( state=0|1 ))

Description: Shows or hides a report that contains the average difference between the observed values and the standard. This option is available only when a standard variable is specified.

dt = Open( "$SAMPLE_DATA/Variability Data/MSALinearity.jmp" );
obj = dt << Variability Chart(
    Y( :Response ),
    X( :Part ),
    Standard( :Standard ),
    Std Dev Chart( 0 )
);
obj << (Variability Analysis[1] << Bias Report( 1 ));

Connect Cell Means

Syntax: obj << (Variability Analysis[number] << Connect Cell Means( state=0|1 ))

Description: Shows or hides a line that connects the cell means within a group of cells on the variability chart.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
obj << (Variability Analysis[1] << Connect Cell Means( 1 ));

Discrimination Ratio

Syntax: obj << (Variability Analysis[number] << Discrimination Ratio( state=0|1 ))

Description: Shows or hides the discrimination ratio for the given model.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" ),
    Analysis Type( "Choose best analysis(EMS REML)" )
);
obj << (Variability Analysis[1] << Discrimination Ratio( 1 ));

Edit MSA Metadata

Syntax: obj << (Variability Analysis[number] << Edit MSA Metadata(Lower Tolerance(number), Upper Tolerance(number), Tolerance Range(number), Historical Mean(number), Historical Process Sigma(number)))

Description: Opens a window that enables you to add or edit the tolerance range, tolerance limits, historical mean, and historical process sigma for all analyses. The reports are automatically updated.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    MSA Metadata( :Measurement( Lower Tolerance( .2 ), Upper Tolerance( 1.3 ) ) ),
    Model( "Crossed" ),
    Variability Analysis( "Measurement", Misclassification Probabilities( 1 ) )
);
Wait( 1 );
obj << (Variability Analysis[1] << Edit MSA Metadata(
    Lower Tolerance( .1 ),
    Upper Tolerance( 1.2 )
));

Gauge R&R Report

Syntax: obj << (Variability Analysis[number] << "Gauge R & R Report"n( state=0|1 ))

Description: Computes and displays a Gauge R&R (reproducibility and repeatability) summary report.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    MSA Metadata( :Measurement( Lower Tolerance( 0.2 ), Upper Tolerance( 1.3 ) ) ),
    Model( "Crossed" ),
    Analysis Type( "Choose best analysis(EMS REML)" ),

);
obj << (Variability Analysis[1] << "Gauge R&R Report"n( 1 ));

Group Means of Std Dev

Syntax: obj << (Variability Analysis[number] << Group Means of Std Dev( state=0|1 ))

Description: Shows or hides the mean lines for groups of cell standard deviations on the standard deviation chart.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
obj << (Variability Analysis[1] << Group Means of Std Dev( 1 ));

Heterogeneity of Variance Tests

Syntax: obj << (Variability Analysis[number] << Heterogeneity of Variance Tests( state=0|1 ))

Description: Shows or hides a report that compares variances across groups. The report includes graphs that show the heterogeneity of variance test for each factor in the model.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" )
);
obj << (Variability Analysis[1] << Heterogeneity of Variance Tests( 1 ));

Linearity Study

Syntax: obj << (Variability Analysis[number] << Linearity Study( state=0|1 ))

Description: Performs a regression that uses the standard values as the X variable and the bias as the Y variable.

dt = Open( "$SAMPLE_DATA/Variability Data/MSALinearity.jmp" );
obj = dt << Variability Chart(
    Y( :Response ),
    X( :Part ),
    MSA Metadata( :Response( Historical Process Sigma( 1.1 ) ) ),
    Standard( :Standard ),
    Std Dev Chart( 0 )
);
obj << (Variability Analysis[1] << Linearity Study( 1 ));

Mean Diamonds

Syntax: obj << (Variability Analysis[number] << Mean Diamonds( state=0|1 ))

Description: Shows or hides mean diamonds on the variability chart. The confidence intervals use the within-group standard deviation for each cell.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
obj << (Variability Analysis[1] << Mean Diamonds( 1 ));

Mean Plots

Syntax: obj << (Variability Analysis[number] << Mean Plots( state=0|1 ))

Description: Shows or hides a plot of the factor level means for each factor in the model.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" )
);
obj << (Variability Analysis[1] << Mean Plots( 1 ));

Mean of Std Dev

Syntax: obj << (Variability Analysis[number] << Mean of Std Dev( state=0|1 ))

Description: Shows or hides a gray dashed line at the mean standard deviation on the standard deviation chart.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
obj << (Variability Analysis[1] << Mean of Std Dev( 1 ));

Misclassification Probabilities

Syntax: obj << (Variability Analysis[number] << Misclassification Probabilities( state=0|1 ))

Description: Shows or hides a report containing the probabilities of misclassification for the given model.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    MSA Metadata( :Measurement( Lower Tolerance( 0.2 ), Upper Tolerance( 1.3 ) ) ),
    Model( "Crossed" ),
    Analysis Type( "Choose best analysis(EMS REML)" )
);
obj << (Variability Analysis[1] << Misclassification Probabilities( 1 ));

Points Jittered

Syntax: obj << (Variability Analysis[number] << Points Jittered( state=0|1 ))

Description: Adds random horizontal jitter to the points in the variability chart.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
obj << (Variability Analysis[1] << Points Jittered( 1 ));

S Control Limits

Syntax: obj << (Variability Analysis[number] << S Control Limits( state=0|1 ))

Description: Shows or hides red lines at the lower control limit (LCL) and upper control limit (UCL) on the standard deviation chart.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
obj << (Variability Analysis[1] << S Control Limits( 1 ));

Show Box Plots

Syntax: obj << (Variability Analysis[number] << Show Box Plots( state=0|1 ))

Description: Shows or hides box plots for each cell on the variability chart.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
obj << (Variability Analysis[1] << Show Box Plots( 1 ));

Show Cell Means

Syntax: obj << (Variability Analysis[number] << Show Cell Means( state=0|1 ))

Description: Shows or hides the mean mark for each cell on the variability chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
Wait( 1 );
obj << (Variability Analysis[1] << Show Cell Means( 0 ));
Wait( 1 );
obj << (Variability Analysis[1] << Show Cell Means( 1 ));

Show Grand Mean

Syntax: obj << (Variability Analysis[number] << Show Grand Mean( state=0|1 ))

Description: Shows or hides the overall mean, which is represented by a gray dotted line across the entire graph.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
obj << (Variability Analysis[1] << Show Grand Mean( 1 ));

Show Grand Median

Syntax: obj << (Variability Analysis[number] << Show Grand Median( state=0|1 ))

Description: Shows or hides the overall median, which is represented by a blue dotted line across the entire graph.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
obj << (Variability Analysis[1] << Show Grand Median( 1 ));

Show Group Means

Syntax: obj << (Variability Analysis[number] << Show Group Means( state=0|1 ))

Description: Shows or hides the mean for groups of cells, which is represented by a horizontal solid line.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
obj << (Variability Analysis[1] << Show Group Means( 1 ));

Show Points

Syntax: obj << (Variability Analysis[number] << Show Points( state=0|1 ))

Description: Shows or hides the points on the variability chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
Wait( 1 );
obj << (Variability Analysis[1] << Show Points( 0 ));
Wait( 1 );
obj << (Variability Analysis[1] << Show Points( 1 ));

Show Range Bars

Syntax: obj << (Variability Analysis[number] << Show Range Bars( state=0|1 ))

Description: Shows or hides the bars that indicate the minimum and the maximum value of each cell. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
Wait( 1 );
obj << (Variability Analysis[1] << Show Range Bars( 0 ));
Wait( 1 );
obj << (Variability Analysis[1] << Show Range Bars( 1 ));

Show Separators

Syntax: obj << (Variability Analysis[number] << Show Separators( state=0|1 ))

Description: Shows or hides the separator lines between levels of the grouping variables on the variability chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
Wait( 1 );
obj << (Variability Analysis[1] << Show Separators( 0 ));
Wait( 1 );
obj << (Variability Analysis[1] << Show Separators( 1 ));

Show Standard Mean

Syntax: obj << (Variability Analysis[number] << Show Standard Mean( state=0|1 ))

Description: Shows or hides a line at the mean of the standard values. This option is available only if a standard variable is specified in the launch window.

dt = Open( "$SAMPLE_DATA/Variability Data/MSALinearity.jmp" );
obj = dt << Variability Chart( Y( :Response ), X( :Part ), Standard( :Standard ) );
Wait( 1 );
obj << (Variability Analysis[1] << Show Standard Mean( 1 ));

Std Dev Chart

Syntax: obj << (Variability Analysis[number] << Std Dev Chart( state=0|1 ))

Description: Shows or hides a chart that plots the standard deviation of each cell. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
Wait( 1 );
obj << (Variability Analysis[1] << Std Dev Chart( 0 ));
Wait( 1 );
obj << (Variability Analysis[1] << Std Dev Chart( 1 ));

Std Dev Plots

Syntax: obj << (Variability Analysis[number] << Std Dev Plots( state=0|1 ))

Description: Shows or hides plots of the standard deviations grouped by each factor level. A plot is shown for each factor in the model.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" )
);
obj << (Variability Analysis[1] << Std Dev Plots( 1 ));

Variability Chart

Syntax: obj << (Variability Analysis[number] << Variability Chart( state=0|1 ))

Description: Shows or hides the variability chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
Wait( 1 );
obj << (Variability Analysis[1] << Variability Chart( 0 ));
Wait( 1 );
obj << (Variability Analysis[1] << Variability Chart( 1 ));

Variability Summary Report

Syntax: obj << (Variability Analysis[number] << Variability Summary Report( state=0|1 ))

Description: Shows or hides a report that shows the mean, standard deviation, coefficient of variation (CV), standard error of the mean, the lower and upper confidence intervals. The minimum, maximum, range, median, and number of observations are also shown.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
obj << (Variability Analysis[1] << Variability Summary Report( 1 ));

Variance Components

Syntax: obj << (Variability Analysis[number] << Variance Components( state=0|1 ))

Description: Shows or hides the variance components for a specific model.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart(
    Y( :Measurement ),
    X( :Operator, :part# ),
    Model( "Crossed" ),
    Analysis Type( "Use REML analysis" )
);
obj << (Variability Analysis[1] << Variance Components( 1 ));

Vertical Charts

Syntax: obj << (Variability Analysis[number] << Vertical Charts( state=0|1 ))

Description: Rotates the variability chart.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
obj << (Variability Analysis[1] << Vertical Charts( 1 ));

XBar Control Limits

Syntax: obj << (Variability Analysis[number] << XBar Control Limits( state=0|1 ))

Description: Shows or hides lines at the lower control limit (LCL) and upper control limit (UCL) on the variability chart.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << Variability Chart( Y( :Measurement ), X( :Operator, :part# ) );
obj << (Variability Analysis[1] << XBar Control Limits( 1 ));