Fit Life by X

Associated Constructors

Fit Life by X

Syntax: Fit Life by X( Y( column ), X( column ), Relationship( string ), Distribution( string ), <Censor( column )> )

Description: Analyzes the distribution of time-to-event data parameterized by a single regression factor. Analysis options include accelerated failure models, life distributions across groups, and transformations of regression factors.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);

Columns

By

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

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius ),
    By( _bycol )
);

Censor

Syntax: obj << Censor( column )

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);

Freq

Syntax: obj << Freq( column )

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
dt << New Column( "_freqcol", Numeric, Continuous, Formula( Random Integer( 1, 5 ) ) );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius ),
    Freq( _freqcol )
);

Time to Event

Syntax: obj << Time to Event( column(s) )

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);

X

Syntax: obj << X( column )

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);

Y

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

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);

Item Messages

Add Density Curve to Scatterplot

Syntax: obj << Add Density Curve to Scatterplot( number )

Description: Adds a density curve to the scatterplot at the specified value of the X variable. Density curves are drawn for each distribution that is selected in the legend. The legend is located to the right of the scatterplot.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
Wait( 1 );
obj << Add Density Curve to Scatterplot( 50 );

Add Quantile Line to Scatterplot

Syntax: obj << Add Quantile Line to Scatterplot( quantile )

Description: Adds a line to the scatterplot at the specified quantile. A quantile line is drawn for each distribution that is selected in the legend. The legend is located to the right of the scatterplot.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
Wait( 1 );
obj << Add Quantile Line to Scatterplot( 0.1 );

Censor Code

Syntax: obj = Fit Life by X(...Censor Code( value=1 )...)

Description: Identifies the value in the Censor column that designates right-censored observations. "1" by default.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Status ),
    Freq( :Weight ),
    Censor Code( "Censored" ),
    Relationship( Arrhenius Celsius )
);

Confidence Interval Method

Syntax: obj = Fit Life by X(...Confidence Interval Method( method="Wald" )...)

Description: Specifies the method that is used to compute confidence intervals for the parameters. Choose between the Wald and Likelihood methods. The Wald method is an approximation and runs faster. The Likelihood method provides more precise parameters but takes longer to compute. "Wald" by default.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius ),
    Confidence Interval Method( "Likelihood" )
);

Density

Syntax: obj << Density( Weibull|Lognormal|Loglogistic|Frechet| SEV|Normal|Logistic|LEV, t, x )

Description: Returns the density for a specified distribution at a life value of t and covariate value of x.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
d = obj << Density( Lognormal, 30000, 10 );
Show( d );

Distribution

Syntax: obj = Fit Life by X(...Distribution( Weibull|Lognormal|Loglogistic|Frechet |SEV|Log|Normal|Logistic|LEV )...)

Description: Specifies the distribution that is used to model the relationship between the X and Y variables.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Frechet ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);

Fit All Distributions

Syntax: obj << Fit All Distributions

Description: Fits all available distributions to the data.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Show Density Curves( 1 )
);
Wait( 1 );
obj << Fit All Distributions;

Fit Exponential

Syntax: obj << Fit Exponential

Description: Fits an exponential distribution to the data.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Show Density Curves( 1 )
);
Wait( 1 );
obj << Fit Exponential;

Fit Frechet

Syntax: obj << Fit Frechet

Description: Fits a Fréchet distribution to the data.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Show Density Curves( 1 )
);
Wait( 1 );
obj << Fit Frechet;

Fit LEV

Syntax: obj << Fit LEV

Description: Fits a largest extreme value (LEV) distribution to the data.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Show Density Curves( 1 )
);
Wait( 1 );
obj << Fit LEV;

Fit Logistic

Syntax: obj << Fit Logistic

Description: Fits a logistic distribution to the data.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Show Density Curves( 1 )
);
Wait( 1 );
obj << Fit Logistic;

Fit Loglogistic

Syntax: obj << Fit Loglogistic

Description: Fits a loglogistic distribution to the data.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Show Density Curves( 1 )
);
Wait( 1 );
obj << Fit Loglogistic;

Fit Lognormal

Syntax: obj << Fit Lognormal

Description: Fits a lognormal distribution to the data.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Weibull ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Show Density Curves( 1 )
);
Wait( 1 );
obj << Fit Lognormal;

Fit Normal

Syntax: obj << Fit Normal

Description: Fits a normal distribution to the data.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Show Density Curves( 1 )
);
Wait( 1 );
obj << Fit Normal;

Fit SEV

Syntax: obj << Fit SEV

Description: Fits a smallest extreme value (SEV) distribution to the data.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Show Density Curves( 1 )
);
Wait( 1 );
obj << Fit SEV;

Fit Weibull

Syntax: obj << Fit Weibull

Description: Fits a Weibull distribution to the data.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Inverse Power ),
    Freq( :Weight ),
    Show Density Curves( 1 )
);
Wait( 1 );
obj << Fit Weibull;

Get Results

Syntax: obj << Get Results

Description: Returns the estimates, standard errors, covariance matrix, and convergence results for each distribution fit.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Nested Model Tests( Regression )
);
r = obj << Get Results;
Show( r );

Hazard

Syntax: obj << Hazard( Weibull|Lognormal|Loglogistic|Frechet| SEV|Normal|Logistic|LEV, t, x )

Description: Returns the hazard for a specified distribution at a life value of t and covariate value of x.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
h = obj << Hazard( Lognormal, 30000, 10 );
Show( h );

Maximum Iterations

Syntax: obj << Maximum Iterations( number )

Description: Specifies the maximum number of iterations that are used to find convergence.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Frechet ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Maximum Iterations( 20 ),
    Nested Model Tests( Regression )
);

Nested Model Tests

Syntax: obj << Nested Model Tests( Saturated Location|Location|Location and Scale|Saturated Location and Scale|Regression|No Effect )

Description: Appends a nonparametric overlay plot, nested model tests, and a multiple probability plot to the report.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius ),
    Nested Model Tests( Regression )
);

Probability

Syntax: obj << Probability( Weibull|Lognormal|Loglogistic|Frechet| SEV|Normal|Logistic|LEV, t, x )

Description: Returns the probability for a specified distribution at a life value of t and covariate value of x.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
p = obj << Probability( Lognormal, 30000, 10 );
Show( p );

Quantile

Syntax: obj << Quantile( Weibull|Lognormal|Loglogistic|Frechet| SEV|Normal|Logistic|LEV, p, x )

Description: Returns the quantile for a specified distribution at a probability of p and covariate value of x.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
q = obj << Quantile( Lognormal, 0.005, 10 );
Show( q );

Rejection Sampler Maximum Trials

Syntax: obj << Rejection Sampler Maximum Trials( number=10000 )

Description: "10000" by default.

JMP Version Added: 14

Relationship

Syntax: obj = Fit Life by X(...Relationship( Arrhenius Celsius|Arrhenius Fahrenheit|Arrhenius Kelvin|Inverse Power|Linear|Log|Logit|Reciprocal|Square Root|Box-Cox|Custom|No Effect|Location|Location and Scale )...)

Description: Identifies the transformation relationship between the event and the factor.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Frechet ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Inverse Power )
);

Set Level of Quantile Line CI Bands

Syntax: obj << Set Level of Quantile Line CI Bands( alpha=0.95 )

Description: Specifies the confidence level for the confidence intervals around the quantile lines.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
obj << Add Quantile Line to Scatterplot( 0.1 );
obj << Show Quantile Line CI Bands( 1 );
Wait( 1 );
obj << Set Level of Quantile Line CI Bands( .90 );

Set Scale

Syntax: obj << Set Scale( Weibull|Lognormal|Loglogistic|Frechet|SEV |Normal|Logistic|LEV|Linear )

Description: Specifies the scale that is used for the Nonparametric Overlay plot.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Nested Model Tests( Regression )
);
Wait( 1 );
obj << Set Scale( Logistic );

Set Scriptables

Syntax: obj << Set Scriptables( {<Distribution Comparisons( options )>, <Quantile Comparisons( options )>, <Hazard Comparisons( options )>, <Density Comparisons( options )>} )

Description: Sets scriptable options within the profilers in different sections of the output.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
obj << Set Scriptables(
    {Distribution Comparisons( Profiler( 1, Term Value( Temp( 50 ), Hours( 2600 ) ) ) )}
);

Show Density Curves

Syntax: obj << Show Density Curves( state=0|1 )

Description: Shows or hides density curves on the scatterplot.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
Wait( 1 );
obj << Show Density Curves( 1 );

Show Overlay by Levels

Syntax: obj << Show Overlay by Levels( state=0|1 )

Description: Shows or hides the Overlay by Levels plot.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Location ),
    Freq( :Weight )
);
rpt = obj << report;
rpt["Scatterplot"] << Close( 1 );
rpt["Nonparametric Overlay"] << Close( 1 );
rpt["Comparisons"] << Close( 1 );
rpt[TabListBox( 2 )] << SetSelected( 2 );
rpt["Overlay by Levels"] << Close( 0 );
Wait( 1 );
obj << Show Overlay by Levels( 0 );
Wait( 1 );
obj << Show Overlay by Levels( 1 );

Show Points

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

Description: Shows or hides the data points in the Nonparametric Overlay plot and in the Multiple Probability Plots. If the points are hidden, step functions are shown instead. On by default.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Nested Model Tests( Regression )
);
Wait( 1 );
obj << Show Points( 0 );
Wait( 1 );
obj << Show Points( 1 );

Show Quantile Line CI Bands

Syntax: obj << Show Quantile Line CI Bands( state=0|1 )

Description: Shows or hides confidence intervals around the quantile lines.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
obj << Add Quantile Line to Scatterplot( 0.1 );
Wait( 1 );
obj << Show Quantile Line CI Bands( 1 );

Show Surface Plot

Syntax: obj << Show Surface Plot( state=0|1 )

Description: Shows or hides the surface plots in the individual distribution results section of the report. Surface plots appear in the Distribution, Quantile, Hazard, and Density sections for the individual distributions.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
rpt = obj << report;
rpt["Scatterplot"] << Close( 1 );
rpt["Comparisons"] << Close( 1 );
rpt[TabListBox( 2 )] << SetSelected( 2 );
rpt["Lognormal"] << Close( 0 );
Wait( 1 );
obj << Show Surface Plot( 0 );
Wait( 1 );
obj << Show Surface Plot( 1 );

TAF

Syntax: obj << TAF( Weibull|Lognormal|Loglogistic|Frechet, value, x )

Description: Returns the Time Acceleration Factor for a specified distribution, acceleration condition x, and baseline condition value.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
af = obj << TAF( Lognormal, 10, 40 );
Show( af );

Tabbed Individual Report

Syntax: obj << Tabbed Individual Report( state=0|1 )

Description: Organizes the individual reports into tab panels. On by default.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Nested Model Tests( Regression )
);
rpt = obj << report;
rpt["Scatterplot"] << Close( 1 );
rpt["Comparisons"] << Close( 1 );
Wait( 1 );
obj << Tabbed Individual Report( 0 );

Tabbed Overall Report

Syntax: obj << Tabbed Overall Report( state=0|1 )

Description: Organizes the overall report into tab panels for the plots, comparisons, and results sections of the overall report.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight ),
    Nested Model Tests( Regression )
);
Wait( 1 );
obj << Tabbed Overall Report( 1 );

Time Acceleration Baseline

Syntax: obj << Time Acceleration Baseline( number )

Description: Specifies the use condition for the acceleration factor.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
obj << Time Acceleration Baseline( 20 );

Transposed Axes

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

Description: Specifies that the accelerating factor appears on the vertical axis instead of the horizontal axis.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
Wait( 1 );
obj << Transposed Axes( 1 );

Use Transformation Scale

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

Description: Specifies that the transformation scale is used for the accelerating factor axis in the scatterplot. This option switches between the linear and nonlinear scales for the accelerating factor axis. On by default.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Relationship( Arrhenius Celsius ),
    Freq( :Weight )
);
Wait( 1 );
obj << Use Transformation Scale( 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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius ),
    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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius ),
    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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
t = obj << Get Script With Data Table;
Show( t );

Get Timing

Syntax: obj << Get Timing

Description: Times the platform launch.

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius ),
    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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius ),
    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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius ),
    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/Reliability/Devalt.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius ),
    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/Reliability/Devalt.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius ),
    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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius ),
    By( _bycol )
);
obj[1] << Save Script for All Objects To Data Table;

Example 2

dt = Open( "$SAMPLE_DATA/Reliability/Devalt.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius ),
    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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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/Reliability/Devalt.jmp" );
obj = dt << Fit Life by X(
    Y( :Hours ),
    X( :Temp ),
    Distribution( Lognormal ),
    Censor( :Censor ),
    Freq( :Weight ),
    Relationship( Arrhenius Celsius )
);
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 = Fit Life by X(...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" ) ) )
);