EMP Measurement Systems Analysis

Associated Constructors

EMP Measurement Systems Analysis

Syntax: EMP Measurement Systems Analysis( Y( column ), X( columns ), Part(column), Model(Main|Crossed|Crossed with Two Factor Interactions|Nested|Crossed then Nested|Nested then Crossed), Dispersion Chart Type(Range|Standard Deviation) )

Description: Launches the EMP (Evaluating the Measurement Process) method for Measurement Systems Analysis. The average and dispersion (range or standard deviation) charts are displayed by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);

Columns

By

Syntax: obj = EMP Measurement Systems Analysis(...<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" );
EMP Measurement Systems Analysis(
    Y( :new Y ),
    X( :Operator ),
    Part( :Part ),
    Model( Crossed ),
    Dispersion Chart Type( Range ),
    By( :Instrument )
);

Grouping

Syntax: obj = EMP Measurement Systems Analysis(...<Grouping( column(s) )>...)

Description: Specifies categorical column(s) as grouping variables.

Example 1

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);

Example 2

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    Grouping( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);

Measurement

Syntax: obj = EMP Measurement Systems Analysis(...Measurement( column(s) )...)

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

Example 1

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);

Example 2

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Measurement( :Y ),
    X( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);

Part

Syntax: obj = EMP Measurement Systems Analysis(...Part( column )...)

Description: Specifies the categorical column designating the part or unit.

Example 1

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);

Example 2

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Sample ID( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);

Sample ID

Syntax: obj = EMP Measurement Systems Analysis(...Sample ID( column )...)

Description: Specifies the categorical column designating the part or unit.

Example 1

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);

Example 2

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Sample ID( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);

Standard

Syntax: obj = EMP Measurement Systems Analysis(...<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 << EMP Measurement Systems Analysis(
    Y( :Response ),
    Part( :Part ),
    Standard( :Standard ),
    Model( "Main" ),
    Dispersion Chart Type( "Range" )
);

X

Syntax: obj = EMP Measurement Systems Analysis(...<X( column(s) )>...)

Description: Specifies categorical column(s) as grouping variables.

Example 1

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);

Example 2

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    Grouping( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);

Y

Syntax: obj = EMP Measurement Systems Analysis(...Y( column(s) )...)

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

Example 1

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);

Example 2

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Measurement( :Y ),
    X( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);

Item Messages

Conv Limit

Syntax: obj = EMP Measurement Systems Analysis(...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/Gasket.jmp" );
dt << Select Rows( 5 ) << Exclude( 1 );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Standard Deviation" ),
    Conv Limit( 1e-7 )
);
obj << (EMP MSA Analysis[1] << Variance Components( 1 ));

EMP MSA Analysis

Syntax: obj = EMP Measurement Systems Analysis(...EMP MSA Analysis( )...)

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

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    EMP MSA Analysis(
        "Y",
        EMP Results( 1 ),
        Variance Components( 1 ),
        "EMP Gauge R&R Results"n( 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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    EMP MSA Analysis( "Y", Dispersion Chart( 0 ), "AIAG Gauge R&R Results"n( 1 ) )
);
Wait( 1 );
obj << Edit MSA Metadata( :Y( Lower Tolerance( 130 ), Upper Tolerance( 230 ) ) );

Include Interactions in Reproducibility

Syntax: obj = EMP Measurement Systems Analysis(...Include Interactions in Reproducibility( state=0|1 )...)

Description: Includes interactions in the calculation of the Reproducibility statistic.

JMP Version Added: 16

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    Include Interactions in Reproducibility( 1 )
);
obj << (EMP MSA Analysis[1] << "EMP Gauge R&R Results"n( 1 ));

Max Iter

Syntax: obj = EMP Measurement Systems Analysis(...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/Gasket.jmp" );
dt << Select Rows( 5 ) << Exclude( 1 );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Standard Deviation" ),
    Max Iter( 200 )
);
obj << (EMP MSA 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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << Save All Metadata to Table;

Save Metadata as Column Properties

Syntax: obj << Save Metadata as Column Properties( < MSA( state=0|1 ) >, < Measurement Sigma( state=0|1 ) >, < Tolerance as Specs( state=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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << Save Metadata as Column Properties;

Set Alpha Level

Syntax: obj = EMP Measurement Systems Analysis(...Set Alpha Level( number )...)

Description: Specifies the alpha level that is used for the bias comparison and test-retest error comparison reports. "0.05" by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    Set Alpha Level( .01 )
);
obj << (EMP MSA Analysis[1] << Bias Comparison( 1 ));

Set Random Seed

Syntax: obj = EMP Measurement Systems Analysis(...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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Standard Deviation" ),
    Set Random Seed( 12345 )
);
obj << (EMP MSA Analysis[1] << "Test-Retest Error Comparison"n( 1 ));

Sigma Multiplier

Syntax: obj = EMP Measurement Systems Analysis(...Sigma Multiplier( number=6 )...)

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

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    Sigma Multiplier( 5.15 ),
    EMP MSA Analysis( "Y", "AIAG Gauge R&R Results"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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    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/Gasket.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    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/Gasket.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    By( _bycol )
);
obj[1] << Save Script for All Objects To Data Table;

Example 2

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
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 = EMP Measurement Systems Analysis(...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" ) ) )
);

EMP MSA Analysis > EMP AIAG Gauge Results

Item Messages

AIAG Labels

Syntax: obj << (EMP MSA Analysis[number] << "AIAG Gauge R&R Results"n(1, AIAG Labels( state=0|1 )))

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

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << "AIAG Gauge R&R Results"n( 1, AIAG Labels( 0 ) ));

Discrimination Ratio

Syntax: obj << (EMP MSA Analysis[number] << "AIAG Gauge R&R Results"n(1, Discrimination Ratio( state=0|1 )))

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

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << "AIAG Gauge R&R Results"n( 1, Discrimination Ratio( 1 ) ));

EMP MSA Analysis > EMP Average Chart

Item Messages

Show Connected Means

Syntax: obj << (EMP MSA Analysis[number] << Average Chart( 1, Show Connected Means( state=0|1 )))

Description: Shows or hides lines that connect the average measurement values on the Average Chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Average Chart( 1, Show Connected Means( 0 ) ));

Show Control Limits

Syntax: obj << (EMP MSA Analysis[number] << Average Chart( 1, Show Control Limits( state=0|1 )))

Description: Shows or hides control limits on the Average Chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Average Chart( 1, Show Control Limits( 0 ) ));

Show Control Limits Shading

Syntax: obj << (EMP MSA Analysis[number] << Average Chart( 1, Show Control Limits Shading( state=0|1 )))

Description: Shows or hides shading between the control limits on the Average Chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Average Chart( 1, Show Control Limits Shading( 0 ) ));

Show Data

Syntax: obj << (EMP MSA Analysis[number] << Average Chart( 1, Show Data( state=0|1 )))

Description: Shows or hides the data points on the Average Chart.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Average Chart( 1, Show Data( 1 ) ));

Show Grand Mean

Syntax: obj << (EMP MSA Analysis[number] << Average Chart( 1, Show Grand Mean( state=0|1 )))

Description: Shows or hides the overall mean of the Y variable on the Average Chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Average Chart( 1, Show Grand Mean( 0 ) ));

Show Separators

Syntax: obj << (EMP MSA Analysis[number] << Average Chart( 1, Show Separators( state=0|1 )))

Description: Shows or hides vertical lines that separate the X variables on the Average Chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Average Chart( 1, Show Separators( 0 ) ));

EMP MSA Analysis > EMP Dispersion Chart

Item Messages

Show Average Dispersion

Syntax: obj << (EMP MSA Analysis[number] << Dispersion Chart( 1, Show Average Dispersion( state=0|1 )))

Description: Shows or hides the average range or standard deviation on the dispersion chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Dispersion Chart( 1, Show Average Dispersion( 0 ) ));

Show Connected Points

Syntax: obj << (EMP MSA Analysis[number] << Dispersion Chart( 1, Show Connected Points( state=0|1 )))

Description: Shows or hides lines that connect all of the ranges or standard deviations on the dispersion chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Dispersion Chart( 1, Show Connected Points( 0 ) ));

Show Control Limits

Syntax: obj << (EMP MSA Analysis[number] << Dispersion Chart( 1, Show Control Limits( state=0|1 )))

Description: Shows or hides the control limits on the dispersion chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Dispersion Chart( 1, Show Control Limits( 0 ) ));

Show Control Limits Shading

Syntax: obj << (EMP MSA Analysis[number] << Dispersion Chart( 1, Show Control Limits Shading( state=0|1 )))

Description: Shows or hides shading between the control limits on the dispersion chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Dispersion Chart( 1, Show Control Limits Shading( 0 ) ));

Show Separators

Syntax: obj << (EMP MSA Analysis[number] << Dispersion Chart( 1, Show Separators( state=0|1 )))

Description: Shows or hides vertical lines that separate the X variables on the dispersion chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Dispersion Chart( 1, Show Separators( 0 ) ));

EMP MSA Analysis > EMP Linearity and Bias Results

Item Messages

Show Avg Bias Points

Syntax: obj << (EMP MSA Analysis[number] << Linearity and Bias Results( 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 << EMP Measurement Systems Analysis(
    Y( :Measurement ),
    X( :Operator ),
    Part( :part# ),
    Standard( :Standard ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Standard Deviation" ),
    EMP MSA Analysis( :Measurement, Average Chart( 0 ), Dispersion Chart( 0 ) )
);
obj << (EMP MSA Analysis[1] << Linearity and Bias Results( 1, Show Avg Bias Points( 1 ) ));
Wait( 1 );
obj << (EMP MSA Analysis[1] << Linearity and Bias Results( 1, Show Avg Bias Points( 0 ) ));
Wait( 1 );
obj << (EMP MSA Analysis[1] << Linearity and Bias Results( 1, Show Avg Bias Points( 1 ) ));

Show Bias Points

Syntax: obj << (EMP MSA Analysis[number] << Linearity and Bias Results( 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 << EMP Measurement Systems Analysis(
    Y( :Measurement ),
    X( :Operator ),
    Part( :part# ),
    Standard( :Standard ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Standard Deviation" ),
    EMP MSA Analysis( :Measurement, Average Chart( 0 ), Dispersion Chart( 0 ) )
);
obj << (EMP MSA Analysis[1] << Linearity and Bias Results( 1, Show Bias Points( 1 ) ));
Wait( 1 );
obj << (EMP MSA Analysis[1] << Linearity and Bias Results( 1, Show Bias Points( 0 ) ));
Wait( 1 );
obj << (EMP MSA Analysis[1] << Linearity and Bias Results( 1, Show Bias Points( 1 ) ));

Show Fit Confidence Curves

Syntax: obj << (EMP MSA Analysis[number] << Linearity and Bias Results( 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 << EMP Measurement Systems Analysis(
    Y( :Measurement ),
    X( :Operator ),
    Part( :part# ),
    Standard( :Standard ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Standard Deviation" ),
    EMP MSA Analysis( :Measurement, Average Chart( 0 ), Dispersion Chart( 0 ) )
);
obj << (EMP MSA Analysis[1] << Linearity and Bias Results(
    1,
    Show Fit Confidence Curves( 1 )
));
Wait( 1 );
obj << (EMP MSA Analysis[1] << Linearity and Bias Results(
    1,
    Show Fit Confidence Curves( 0 )
));
Wait( 1 );
obj << (EMP MSA Analysis[1] << Linearity and Bias Results(
    1,
    Show Fit Confidence Curves( 1 )
));

Show Line of Fit

Syntax: obj << (EMP MSA Analysis[number] << Linearity and Bias Results( 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 << EMP Measurement Systems Analysis(
    Y( :Measurement ),
    X( :Operator ),
    Part( :part# ),
    Standard( :Standard ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Standard Deviation" ),
    EMP MSA Analysis( :Measurement, Average Chart( 0 ), Dispersion Chart( 0 ) )
);
obj << (EMP MSA Analysis[1] << Linearity and Bias Results( 1, Show Line of Fit( 1 ) ));
Wait( 1 );
obj << (EMP MSA Analysis[1] << Linearity and Bias Results( 1, Show Line of Fit( 0 ) ));
Wait( 1 );
obj << (EMP MSA Analysis[1] << Linearity and Bias Results( 1, Show Line of Fit( 1 ) ));

Show Overall Avg Bias Line

Syntax: obj << (EMP MSA Analysis[number] << Linearity and Bias Results( 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 << EMP Measurement Systems Analysis(
    Y( :Measurement ),
    X( :Operator ),
    Part( :part# ),
    Standard( :Standard ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Standard Deviation" ),
    EMP MSA Analysis( :Measurement, Average Chart( 0 ), Dispersion Chart( 0 ) )
);
obj << (EMP MSA Analysis[1] << Linearity and Bias Results(
    1,
    Show Overall Avg Bias Line( 1 )
));
Wait( 1 );
obj << (EMP MSA Analysis[1] << Linearity and Bias Results(
    1,
    Show Overall Avg Bias Line( 0 )
));
Wait( 1 );
obj << (EMP MSA Analysis[1] << Linearity and Bias Results(
    1,
    Show Overall Avg Bias Line( 1 )
));

EMP MSA Analysis

Item Messages

AIAG Gauge R&R Results

Syntax: obj << (EMP MSA Analysis[number] << "AIAG Gauge R&R Results"n( state=0|1 ))

Description: Shows or hides a report that partitions the variability in the measurements into part variation and measurement system variation. The calculation for Reproducibility includes interactions.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    MSA Metadata(
        :Y(
            Lower Tolerance( 120 ),
            Upper Tolerance( 240 ),
            Tolerance Range( 120 ),
            Historical Process Sigma( 25 )
        )
    ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << "AIAG Gauge R&R Results"n( 1 ));

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

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Average Chart( 0 ));
obj << (EMP MSA Analysis[1] << Effective Resolution( 1 ));
obj << (EMP MSA Analysis[1] << Dispersion Chart( 1, Show Control Limits Shading( 0 ) ));
preset = obj << (EMP MSA Analysis[1] << New Preset);
dt2 = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj2 = dt2 << EMP Measurement Systems Analysis(
    Y( :Measurement ),
    MSA Metadata( :Measurement( Historical Process Sigma( 0.25 ) ) ),
    X( :Operator ),
    Part( :part# ),
    Standard( :Standard ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Standard Deviation" )
);
Wait( 1 );
obj2 << (EMP MSA Analysis[1] << Apply Preset( preset ));

Average Chart

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

Description: Shows or hides a plot of the average measurement values for each combination of the part and X variables. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Average Chart( 0 ));

Bias Comparison

Syntax: obj << (EMP MSA Analysis[number] << Bias Comparison( state=0|1 ))

Description: Shows or hides an Analysis of Means chart for testing if the X variables have different averages.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Bias Comparison( 1 ));

Dispersion Chart

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

Description: Shows or hides the specified dispersion chart. The default dispersion chart is the Range Chart. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Dispersion Chart( 0 ));

EMP Gauge R&R Results

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

Description: Shows or hides a report that partitions the variability in the measurements into part variation and measurement system variation. The calculations in this report are based on variances, not ranges.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << "EMP Gauge R&R Results"n( 1 ));

EMP Results

Syntax: obj << (EMP MSA Analysis[number] << EMP Results( state=0|1 ))

Description: Shows or hides a report that computes several statistics to help you assess and classify your measurement system.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << EMP Results( 1 ));

Edit MSA Metadata

Syntax: obj << (EMP MSA Analysis[number] << Linearity and Bias Results( state=0|1 ))

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/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" ),
    EMP MSA Analysis( "Y", Misclassification Probabilities( 1 ) )
);
Wait( 1 );
obj << (EMP MSA Analysis[1] << Edit MSA Metadata(
    Lower Tolerance( 120 ),
    Upper Tolerance( 240 )
));

Effective Resolution

Syntax: obj << (EMP MSA Analysis[number] << Effective Resolution( state=0|1 ))

Description: Shows or hides a table that contains results for the resolution of a measurement system, which helps you determine how well your measurement increments are working.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Effective Resolution( 1 ));

Linearity and Bias Results

Syntax: obj << (EMP MSA Analysis[number] << Linearity and Bias Results( state=0|1 ))

Description: Shows or hides a graph and summary from a regression analysis using the standard column as the X variable and the bias as the Y variable.

dt = Open( "$SAMPLE_DATA/Variability Data/2 Factors Crossed.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Measurement ),
    MSA Metadata( :Measurement( Historical Process Sigma( 0.25 ) ) ),
    X( :Operator ),
    Part( :part# ),
    Standard( :Standard ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Standard Deviation" )
);
obj << (EMP MSA Analysis[1] << Linearity and Bias Results( 1 ));

Misclassification Probabilities

Syntax: obj << (EMP MSA Analysis[number] << Misclassification Probabilties( state=0|1 ))

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

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    MSA Metadata( :Y( Lower Tolerance( 140 ), Upper Tolerance( 220 ) ) ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Misclassification Probabilities( 1 ));

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/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Average Chart( 0 ));
obj << (EMP MSA Analysis[1] << Effective Resolution( 1 ));
obj << (EMP MSA Analysis[1] << Dispersion Chart( 1, Show Control Limits Shading( 0 ) ));
preset = obj << (EMP MSA Analysis[1] << New Preset);

Parallelism Plots

Syntax: obj << (EMP MSA Analysis[number] << Parallelism Plots( state=0|1 ))

Description: Shows or hides an overlay plot that reflects the average measurement values for each part.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Parallelism Plots( 1 ));

Shift Detection Profiler

Syntax: obj << (EMP MSA Analysis[number] << Shift Detection Profiler( state=0|1 ))

Description: Shows or hides an interactive set of charts that you can adjust to see the probabilities of getting warnings on your process behavior chart.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Shift Detection Profiler( 1 ));

Show Monitor Classification Legend

Syntax: obj << (EMP MSA Analysis[number] << Show Monitor Classification Legend( state=0|1 ))

Description: Shows or hides the monitor classification legend in the EMP Results report. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << EMP Results( 1 ));
Wait( 1 );
obj << (EMP MSA Analysis[1] << Show Monitor Classification Legend( 0 ));

Show Part Legend

Syntax: obj << (EMP MSA Analysis[number] << Show Part Legend( state=0|1 ))

Description: Shows or hides the part legend for the average and dispersion charts. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Show Part Legend( 0 ));

Show Shift Detection Profiler Legend

Syntax: obj << (EMP MSA Analysis[number] << Show Shift Detection Profiler Legend( state=0|1 ))

Description: Shows or hides the legend in the Shift Detection Profiler. On by default.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Shift Detection Profiler( 1 ));
Wait( 1 );
obj << (EMP MSA Analysis[1] << Show Shift Detection Profiler Legend( 0 ));

Test-Retest Error Comparison

Syntax: obj << (EMP MSA Analysis[number] << "Test-Retest Error Comparison"n( state=0|1 ))

Description: Shows or hides an Analysis of Means for Variances or Analysis of Means Ranges chart for testing if any of the groups have different test-retest error levels.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << "Test-Retest Error Comparison"n( 1 ));

Variance Components

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

Description: Shows or hides a report that contains the estimates of the variance components for the given model.

dt = Open( "$SAMPLE_DATA/Variability Data/Gasket.jmp" );
obj = dt << EMP Measurement Systems Analysis(
    Y( :Y ),
    X( :Operator ),
    Part( :Part ),
    Model( "Crossed" ),
    Dispersion Chart Type( "Range" )
);
obj << (EMP MSA Analysis[1] << Variance Components( 1 ));