Multivariate

Associated Constructors

Multivariate

Syntax: Multivariate( Y( columns ) )

Description: Explores correlation and associations among numeric variables using a variety of multivariate analysis techniques. These techniques include both parametric and nonparametric measures of association, scatterplot matrices, principal components analysis, outlier analysis, and item reliability.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );

Columns

By

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

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    By( _bycol )
);

Freq

Syntax: obj << Freq( column )

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
dt << New Column( "_freqcol", Numeric, Continuous, Formula( Random Integer( 1, 5 ) ) );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Freq( _freqcol )
);

Weight

Syntax: obj << Weight( column )

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
dt << New Column( "_weightcol", Numeric, Continuous, Formula( Random Beta( 1, 1 ) ) );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Weight( _weightcol )
);

Y

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

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );

Item Messages

CI of Correlation

Syntax: obj << CI of Correlation( state=0|1 )

Description: Shows or hides a report of the correlations between each Y variable and the confidence intervals for each correlation.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << CI of Correlation( 1 );

Cluster the Correlations

Syntax: obj << Cluster the Correlations( state=0|1 )

Description: Shows or hides a color map on clustered correlations, starting at blue for negatively correlated and moving to red as the correlations approach one.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Cluster the Correlations( 1 );

Color Map on Correlations

Syntax: obj << Color Map on Correlations( state=0|1 )

Description: Shows or hides a color map on correlations, starting at blue for negatively correlated and moving to red as the correlations approach one.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Color Map on Correlations( 1 );

Color Map on Hoeffding's D

Syntax: obj << Color Map on Hoeffding's D( state=0|1 )

Description: Shows or hides a color map on Hoeffding's D nonparametric correlations, starting at blue for negatively correlated and moving to red as the correlations approach one.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Color Map on Hoeffding's D( 1 );

Color Map on Kendall's Tau

Syntax: obj << Color Map on Kendall's Tau( state=0|1 )

Description: Shows or hides a color map on Kendall's Tau nonparametric correlations, starting at blue for negatively correlated and moving to red as the correlations approach one.

JMP Version Added: 16

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Color Map on Kendall's Tau( 1 );

Color Map on Kendall's τ

Syntax: obj << Color Map on Kendall's τ( state=0|1 )

Description: Shows or hides a color map on Kendall's Tau nonparametric correlations, starting at blue for negatively correlated and moving to red as the correlations approach one.

JMP Version Added: 16

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Color Map on Kendall's Tau( 1 );

Color Map on Pairwise Correlations

Syntax: obj << Color Map on Pairwise Correlations( state=0|1 )

Description: Shows or hides a color map on the pairwise correlations, starting at blue for negatively correlated and moving to red as the correlations approach one.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Color Map on Pairwise Correlations( 1 );

Color Map on Spearman's Rho

Syntax: obj << Color Map on Spearman's Rho( state=0|1 )

Description: Shows or hides a color map on Spearman's Rho nonparametric correlations, starting at blue for negatively correlated and moving to red as the correlations approach one.

JMP Version Added: 16

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Color Map on Spearman's Rho( 1 );

Color Map on Spearman's ρ

Syntax: obj << Color Map on Spearman's ρ( state=0|1 )

Description: Shows or hides a color map on Spearman's Rho nonparametric correlations, starting at blue for negatively correlated and moving to red as the correlations approach one.

JMP Version Added: 16

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Color Map on Spearman's Rho( 1 );

Color Map on p-Values

Syntax: obj << Color Map on p-Values( state=0|1 )

Description: Shows or hides a color map on p-values, starting at red for p-values close to zero and moving to blue as the p-values approach one.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << "Color Map on p-Values"n( 1 );

Correlation Probability

Syntax: obj << Correlation Probability( state=0|1 )

Description: Shows or hides a matrix of p-values that each correspond to a test of the null hypothesis that the true correlation between the variables is zero.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Correlation Probability( 1 );

Correlations Multivariate

Syntax: obj << Correlations Multivariate( state=0|1 )

Description: Shows or hides a matrix of correlation coefficients that summarize the strength of the linear relationships between each pair of Y variables. On by default.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Correlations Multivariate( 1 );

Covariance Matrix

Syntax: obj << Covariance Matrix( state=0|1 )

Description: Shows or hides a matrix of covariances for each pair of Y variables.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Covariance Matrix( 1 );

Create SAS Job

Syntax: obj << Create SAS Job

Description: Creates SAS Proc Mixed code to run similar estimation methods through SAS.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ), Variance Estimation( "REML" ) );
obj << Create SAS Job();

Cronbach's Alpha

Syntax: obj << Cronbach's Alpha( state=0|1 )

Description: Shows or hides a report of Cronbach's alpha for the entire set of variables as well as the alpha if each Y variable was individually excluded.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Cronbach's alpha( 1 );

Cronbach's α

Syntax: obj << Cronbach's α( state=0|1 )

Description: Shows or hides a report of Cronbach's alpha for the entire set of variables as well as the alpha if each Y variable was individually excluded.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Cronbach's alpha( 1 );

Ellipsoid 3D Plot

Syntax: obj << Ellipsoid 3D Plot( column1, column2, column3 )

Description: Shows or hides a surface plot that displays a 95% ellipsoid for three chosen Y variables.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Ellipsoid 3D Plot( :Ether, :Chloroform, :Benzene );

Get Correlation Matrix

Syntax: obj << Get Correlation Matrix

Description: Returns the correlation matrix.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
corr = obj << Get Correlation Matrix;
Show( corr );

Get Inv Correlation Matrix

Syntax: obj << Get Inv Correlation Matrix

Description: Returns the inverse correlation matrix.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ), Inverse Correlations( 1 ) );
icorr = obj << Get Inv Correlation Matrix;
Show( icorr );

Hoeffding's D

Syntax: obj << Hoeffding's D( state=0|1 )

Description: Shows or hides a report of Hoeffding's D statistic for every pair of Y variables.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Hoeffding's D( 1 );

Hotelling's T Square Test

Syntax: obj << Hotelling's T Square Test

Description: Performs a one-sample test for the mean of the multivariate distribution of the Y variables, given the specified mean vector under the null hypothesis.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Hotelling's T Square Test( 1, 0.7, 0.5, 0, -1 );

Impute Missing Data

Syntax: obj << Impute Missing Data

Description: Imputes missing values for all the Y variables and creates a new data table containing both the existing values and newly imputed missing data values.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Impute Missing Data;

Inverse Correlations

Syntax: obj << Inverse Correlations( state=0|1 )

Description: Shows or hides a matrix of the inverse correlations between each Y variable.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Inverse Correlations( 1 );

Jackknife Distances

Syntax: obj << Jackknife Distances( state = 0|1, <Save Jackknife Distances> )

Description: Shows or hides a graph of the jackknife distances for each row, together with a reference line that indicates possible outliers.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Jackknife Distances( 1 );

Kendall's Tau

Syntax: obj << Kendall's Tau( state=0|1 )

Description: Shows or hides a report of Kendall's Tau statistic for every pair of Y variables.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Kendall's Tau( 1 );

Kendall's τ

Syntax: obj << Kendall's τ( state=0|1 )

Description: Shows or hides a report of Kendall's Tau statistic for every pair of Y variables.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Kendall's Tau( 1 );

Mahalanobis Distances

Syntax: obj << Mahalanobis Distances( state = 0|1, <Save Outlier Distances> )

Description: Shows or hides a graph of the Mahalanobis distances for each row, together with a reference line that indicates possible outliers.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Mahalanobis Distances( 1 );

Matrix Format

Syntax: obj = Multivariate(...Matrix Format( "Lower Triangular"|"Upper Triangular"|"Square" )...)

Description: Specifies how the variables are displayed in the Scatterplot Matrix.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ), Matrix Format( "Lower Triangular" ) );

Multivariate Simple Statistics

Syntax: obj << Multivariate Simple Statistics( state=0|1 )

Description: Shows or hides a multivariate simple statistics report, where the statistics are calculated by excluding any row that has a missing value.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = Multivariate( Y( :POP, :OZONE, :CO, :SO2, :NO ) );
obj << Multivariate Simple Statistics( 1 );

Pairwise Correlations

Syntax: obj << Pairwise Correlations( state=0|1 )

Description: Shows or hides a report of the pairwise correlations for each combination of Y variables.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Pairwise Correlations( 1 );

Parallel Coord Plot

Syntax: obj << Parallel Coord Plot( state=0|1 )

Description: Shows or hides a parallel coordinate plot of the variables.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Parallel Coord Plot( 1 );

Partial Correlation Diagram

Syntax: obj << Partial Correlation Diagram( state=0|1 )

Description: Shows or hides the Partial Correlation Diagram report. This option performs an eigenvalue decomposition on the partial correlation matrix and uses the results to give a visual representation of the partial correlations.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Partial Correlation Diagram( 1 );

Partial Correlation Probability

Syntax: obj << Partial Correlation Probability( state=0|1 )

Description: Shows or hides a matrix of p-values that each correspond to a test of the null hypothesis that the true partial correlation between the variables is zero.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Partial Correlation Probability( 1 );

Partial Correlations

Syntax: obj << Partial Correlations( state=0|1 )

Description: Shows or hides a matrix of partial correlations between each Y variable.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Partial Correlations( 1 );

Save Imputed Formula

Syntax: obj << Save Imputed Formula

Description: Imputes values where the Y column values are missing. Creates and saves a new column with an imputation formula to the original data table.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Save Imputed Formula;

Scatterplot Matrix

Syntax: obj << Scatterplot Matrix( state=0|1 )

Description: Shows or hides a scatterplot matrix for each pair of Y variables. On by default.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( 0 )
);

Set Alpha Level

Syntax: obj << Set Alpha Level( "0.01"|"0.05"|"0.10"|"0.50"|"Other…"=0.05 )

Description: Changes the alpha level for the confidence intervals about each correlation. "0.05" by default.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Set Alpha Level( 0.01 );
obj << CI of Correlation( 1 );

Set α Level

Syntax: obj << Set α Level( "0.01"|"0.05"|"0.10"|"0.50"|"Other…"=0.05 )

Description: Changes the alpha level for the confidence intervals about each correlation. "0.05" by default.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Set α Level( 0.01 );
obj << CI of Correlation( 1 );

Spearman's Rho

Syntax: obj << Spearman's Rho( state=0|1 )

Description: Shows or hides a report of Spearman's Rho statistic for each pair of Y variables.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Spearman's Rho( 1 );

Spearman's ρ

Syntax: obj << Spearman's ρ( state=0|1 )

Description: Shows or hides a report of Spearman's Rho statistic for each pair of Y variables.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Spearman's Rho( 1 );

Standardized Alpha

Syntax: obj << Standardized Alpha( state=0|1 )

Description: Shows or hides a report of Cronbach's standardized alpha for the entire set of variables as well as the standardized alpha if each Y variable was individually excluded.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Standardized alpha( 1 );

Standardized α

Syntax: obj << Standardized α( state=0|1 )

Description: Shows or hides a report of Cronbach's standardized alpha for the entire set of variables as well as the standardized alpha if each Y variable was individually excluded.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << Standardized alpha( 1 );

T Square

Syntax: obj << T Square( state = 0|1, <Save T Square> )

Description: Shows or hides a graph of the T² values for each row, together with a reference line indicating possible outliers.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << T Square( 1 );

T²

Syntax: obj << T²( state = 0|1, <Save T Square> )

Description: Shows or hides a graph of the T² values for each row, together with a reference line indicating possible outliers.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
obj << T Square( 1 );

Univariate Simple Statistics

Syntax: obj << Univariate Simple Statistics( state=0|1 )

Description: Shows or hides a univariate simple statistics report, where the statistics are calculated for each column independently from other columns that might have missing data.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = Multivariate( Y( :POP, :OZONE, :CO, :SO2, :NO ) );
obj << Univariate Simple Statistics( 1 );

Variance Estimation

Syntax: Variance Estimation( REML|ML|Robust|Row-wise|Pairwise )

Description: Sets the estimation method for computing the correlations.

If there are no missing values, then the default is Row-wise.

If there are missing values, and the number of variables <= 10 and the number of rows <=5000, then the default is REML.

If there are missing values, and the number of variables > 10 or number of rows > 5000, then the default is Pairwise.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ), Variance Estimation( "ML" ) );

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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
t = obj << Get Script With Data Table;
Show( t );

Get Timing

Syntax: obj << Get Timing

Description: Times the platform launch.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    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/Solubility.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    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/Solubility.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    By( _bycol )
);
obj[1] << Save Script for All Objects To Data Table;

Example 2

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
dt << New Column( "_bycol",
    Character,
    Nominal,
    set values( Repeat( {"A", "B"}, N Rows( dt ) )[1 :: N Rows( dt )] )
);
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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/Solubility.jmp" );
obj = Multivariate( Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ) );
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 = Multivariate(...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" ) ) )
);

Principal Component Options

Item Messages

3D Score Plot

Syntax: obj << 3D Score Plot( state=0|1 )

Description: Shows or hides a 3-D scatterplot of the principal components as rays in a three-dimensional space.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Principal Components( "on Correlations", "3D Score Plot"n );

Bartlett Test

Syntax: obj << Bartlett Test( state=0|1 )

Description: Shows or hides a report of the results of the homogeneity test for each of the principal components.

JMP Version Added: 16

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Principal Components( "on Correlations", Bartlett Test( 1 ) );

Eigenvectors

Syntax: obj << Eigenvectors( state=0|1 )

Description: Shows or hides a report of the eigenvectors for each of the principal components.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Principal Components( "on Correlations", Eigenvectors( 1 ) );

Factor Rotation

Syntax: obj << Factor Rotation( <ML|PC>, 1|SMC, n Rotated, Varimax|Biquartimax| Equamax| Factorparsimax| Orthomax| Parsimax| Quartimax| Biquartimin| Covarimin| Obbiquartimax| Obequamax| Obfactorparsimax| Obequamax| Obfactorparsimax| Oblimin| Obparsimax| Obquartimax| Obvarimax| Quartimin| Promax )

Description: Shows or hides a report of the factor rotation pattern for the principal components.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Principal Components(
    "on Correlations",
    Factor Rotation( "ML", "SMC", 2, "Varimax" )
);

Loading Plot

Syntax: obj << Loading Plot( number )

Description: Shows or hides a matrix of plots that are two-dimensional representations of factor loadings.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Principal Components( "on Correlations", Loading Plot( 2 ) );

Save Principal Components

Syntax: obj << Save Principal Components( number )

Description: Saves the given number of principal components to new columns in the data table.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Principal Components( "on Correlations", Save Principal Components( 3 ) );

Save Principal Components with Imputation

Syntax: obj << Save Principal Components with Imputation( number )

Description: Saves the given number of principal components computed using imputation on missing values to new columns in the data table.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Principal Components(
    "on Correlations",
    Save Principal Components with Imputation( 3 )
);

Save Rotated Components

Syntax: obj << Save Rotated Components

Description: Saves the rotated components to new columns in the data table.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Principal Components(
    "on Correlations",
    Factor Rotation( "SMC", 2, "Varimax" ),
    Save Rotated Components
);

Save Rotated Components with Imputation

Syntax: obj << Save Rotated Components with Imputation

Description: Saves the rotated components computed using imputation on missing values to new columns in the data table. Note: This option is only available after the Factor Rotation has been run.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Principal Components(
    "on Correlations",
    Factor Rotation( "SMC", 2, "Varimax" ),
    Save Rotated Components with Imputation
);

Score Plot

Syntax: obj << Score Plot( number )

Description: Shows or hides a matrix of scatterplots that contain the scores for each pair of the specified number of principal components.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Principal Components( "on Correlations", Score Plot( 2 ) );

Score Plot with Imputation

Syntax: obj << Score Plot with Imputation( number )

Description: Shows or hides a matrix of scatterplots that contain the scores for each pair of the specified number of principal components, using imputation for missing values.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Principal Components( "on Correlations", Score Plot with Imputation( 2 ) );

Scree Plot

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

Description: Shows or hides a line plot of the eigenvalues for each component.

dt = Open( "$SAMPLE_DATA/Cities.jmp" );
obj = dt << Multivariate( Y( :OZONE, :CO, :SO2, :NO, :PM10 ) );
obj << Principal Components( "on Correlations", Scree Plot( 1 ) );

Scatterplot Matrix Message

Item Messages

Density Ellipses

Syntax: Density Ellipses( state=0|1 )

Description: Shows or hides the density ellipses on the scatterplot matrix.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Density Ellipses( 1 ) )
);

Ellipse Alpha

Syntax: obj << Ellipse Alpha( "0.90"|"0.95"|"0.99"|"Other…" )

Description: Changes the alpha level for the density ellipses on the scatterplot matrix between each Y variable.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Density Ellipses( 1 ), Ellipse Alpha( 0.1 ) )
);

Ellipse Color

Syntax: Ellipse Color( color )

Description: Changes the color for the density ellipses on the scatterplot matrix between each Y variable.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Density Ellipses( 1 ), Ellipse Color( "Blue" ) )
);

Ellipse α

Syntax: obj << Ellipse α( "0.90"|"0.95"|"0.99"|"Other…" )

Description: Changes the alpha level for the density ellipses on the scatterplot matrix between each Y variable.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Density Ellipses( 1 ), Ellipse Alpha( 0.1 ) )
);

Ellipses Coverage

Syntax: obj << Ellipses Coverage( "0.90"|"0.95"|"0.99"|"Other…" )

Description: Changes the alpha level for the density ellipses on the scatterplot matrix between each Y variable.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Density Ellipses( 1 ), Ellipses Coverage( 0.9 ) )
);

Ellipses Transparency

Syntax: obj << Ellipses Transparency( "0.20"|"0.40"|"0.60"|"Other…" )

Description: Changes the transparency for the shaded density ellipses on the scatterplot matrix between each Y variable.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Ellipses Transparency( 0.6 ), Shaded Ellipses( 1 ) )
);

Fit Line

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

Description: Shows or hides the regression line and confidence interval on the scatterplot matrix.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Fit line( 1 ) )
);

Heat Map

Syntax: Heat Map( state=0|1 )

Description: Shows or hides a correlation heat map in the upper right triangle of the scatterplot matrix. The color of each cell in the heat map represents the correlation between each pair of variables.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Heat Map( 1 ) )
);

Horizontal

Syntax: Horizontal( state=0|1 )

Description: Displays histograms horizontally in the diagonal of the scatterplot matrix between each Y variable.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Horizontal( 1 ) )
);

Nonpar Density

Syntax: Nonpar Density( state=0|1 )

Description: Shows or hides shaded nonparametric density contours for the 0.90 and 0.50 quantiles.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Nonpar Density( 1 ) )
);

Shaded Ellipses

Syntax: Shaded Ellipses( state=0|1 )

Description: Shades or makes clear the region inside the ellipses on the scatterplot matrix between each Y variable.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Shaded Ellipses( 1 ) )
);

Show Correlations

Syntax: Show Correlations( state=0|1 )

Description: Shows or hides the correlation of each pair of variables in the upper left corner of each scatterplot.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Show Correlations( 1 ) )
);

Show Counts

Syntax: Show Counts( state=0|1 )

Description: Shows or hides the counts that label each bar in the histograms in the diagonal of the scatterplot matrix between each Y variable. Note: Available only after the histogram has been displayed.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Vertical( 1 ), Show Counts( 1 ) )
);

Show Points

Syntax: Show Points( state=0|1 )

Description: Shows or hides the points on the scatterplot matrix. On by default.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Show Points( 1 ) )
);

Significance Circles

Syntax: Significance Circles( state=0|1 )

Description: Shows or hides correlation circles in the upper right triangle of the scatterplot matrix. The circle color represents the correlation and the circle size represents the significance test between each pair of variables.

JMP Version Added: 15

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Significance Circles( 1 ) )
);

Vertical

Syntax: Vertical( state=0|1 )

Description: Displays histograms vertically in the diagonal of the scatterplot matrix between each Y variable.

dt = Open( "$SAMPLE_DATA/Solubility.jmp" );
obj = Multivariate(
    Y( :Ether, :Chloroform, :Benzene, :Carbon Tetrachloride, :Hexane ),
    Scatterplot Matrix( Vertical( 1 ) )
);