Fit Group Orthogonal Supersaturated
Associated Constructors
Fit Group Orthogonal Supersaturated
Syntax: Fit Group Orthogonal Supersaturated( Y( column ), X( columns ) )
Description: Analyzes a group orthogonal supersaturated design. A group orthogonal supersaturated design is one with fewer observations than model parameters, where the main effects cannot all be estimated simultaneously.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
Columns
X
Syntax: obj << X( column(s) )
JMP Version Added: 15
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
Y
Syntax: obj << Y( column(s) )
JMP Version Added: 15
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
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( "$SAMPLE_DATA/Big Class.jmp" );
obj = dt << Oneway( Y( :height ), X( :sex ) );
Wait( 1 );
obj << Apply Preset( "Sample Presets", "t-Tests", Folder( "Compare Means" ) );
Automatic Recalc
Syntax: obj << Automatic Recalc( state=0|1 )
Description: Redoes the analysis automatically for exclude and data changes. If the Automatic Recalc option is turned on, you should consider using Wait(0) commands to ensure that the exclude and data changes take effect before the recalculation.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
obj << Automatic Recalc( 1 );
dt << Select Rows( 5 ) << Exclude( 1 );
Column Switcher
Syntax: obj << Column Switcher(column reference, {column reference, ...}, < Title(title) >, < Close Outline(0|1) >, < Retain Axis Settings(0|1) >, < Layout(0|1) >)
Description: Adds a control panel for changing the platform's variables
dt = Open( "$SAMPLE_DATA/Car Poll.jmp" );
obj = dt << Contingency( Y( :size ), X( :marital status ) );
ColumnSwitcherObject = obj << Column Switcher(
:marital status,
{:sex, :country, :marital status}
);
Copy Script
Syntax: obj << Copy Script
Description: Create a JSL script to produce this analysis, and put it on the clipboard.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
obj << Copy Script;
Data Table Window
Syntax: obj << Data Table Window
Description: Move the data table window for this analysis to the front.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
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( "$SAMPLE_DATA/Big Class.jmp" );
biv = dt << Bivariate( X( :height ), Y( :weight ), By( :sex ) );
biv << Get By Levels;
Get Container
Syntax: obj << Get Container
Description: Returns a reference to the container box that holds the content for the object.
General
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
t = obj << Get Container;
Show( (t << XPath( "//OutlineBox" )) << Get Title );
Platform with Filter
dt = Open( "$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.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
t = obj << Get Datatable;
Show( N Rows( t ) );
Get Script
Syntax: obj << Get Script
Description: Creates a script (JSL) to produce this analysis and returns it as an expression.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
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.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
t = obj << Get Script With Data Table;
Show( t );
Get Timing
Syntax: obj << Get Timing
Description: Times the platform launch.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
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( "$SAMPLE_DATA/Big Class.jmp" );
dt << Bivariate(
Ignore Platform Preferences( 1 ),
Y( :height ),
X( :weight ),
Action( Distribution( Y( :height, :weight ), Histograms Only ) )
);
New JSL Preset
Syntax: New JSL Preset( preset )
Description: For testing purposes, create a preset directly from a JSL expression. Like <<New Preset, it will return a Platform Preset that can be applied using <<Apply Preset. But it allows you to specify the full JSL expression for the preset to test outside of normal operation. You will get an Assert on apply if the platform names do not match, but that is expected.
JMP Version Added: 18
dt = Open( "$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( "$SAMPLE_DATA/Big Class.jmp" );
obj = dt << Oneway( Y( :height ), X( :sex ), t Test( 1 ) );
preset = obj << New Preset();
Redo Analysis
Syntax: obj << Redo Analysis
Description: Rerun this same analysis in a new window. The analysis will be different if the data has changed.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
obj << Redo Analysis;
Relaunch Analysis
Syntax: obj << Relaunch Analysis
Description: Opens the platform launch window and recalls the settings that were used to create the report.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
obj << Relaunch Analysis;
Remove Column Switcher
Syntax: obj << Remove Column Switcher
Description: Removes the most recent Column Switcher that has been added to the platform.
dt = Open( "$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;
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.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
r = obj << Report;
t = r[Outline Box( 1 )] << Get Title;
Show( t );
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.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
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
d = DOE(
Group Orthogonal Supersaturated Design,
Make Design,
Simulate Responses( 1 ),
By( _bycol )
);
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ), By( _bycol ) );
obj[1] << Save Script for All Objects To Data Table;
Example 2
d = DOE(
Group Orthogonal Supersaturated Design,
Make Design,
Simulate Responses( 1 ),
By( _bycol )
);
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ), 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.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
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.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
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.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
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.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
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 )} ) )
);
Title
Syntax: obj << Title( "new title" )
Description: Sets the title of the platform.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
obj << Title( "My Platform" );
Top Report
Syntax: obj << Top Report
Description: Returns a reference to the root node in the report.
d = DOE( Group Orthogonal Supersaturated Design, Make Design, Simulate Responses( 1 ) );
dt = d << make table;
Wait( 1 );
dt << Fit Group Orthogonal Supersaturated( X( 1 :: 7 ), Y( :Response ) );
r = obj << Top Report;
t = r[Outline Box( 1 )] << Get Title;
Show( t );
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;