Contingency

Example 1

Summary: Perform a contingency analysis

Code:

// Open data table
dt = Open("$Sample_Data/Alcohol.jmp");
// Contingency
Contingency(
    Y( :Relapsed ),
    X( :Alcohol Consumption ),
    Freq( :Count ),
    Contingency Table(
        Count( 1 ),
        Total %( 1 ),
        Col %( 1 ),
        Row %( 1 ),
        Expected( 0 ),
        Deviation( 0 ),
        Cell Chi Square( 0 )
    )
);

Example 2

Summary: Perform a contingency analysis with crosstabs

Code:

// Open data table
dt = Open("$Sample_Data/Big Class.jmp");
// Contingency
Contingency(
    Y( :age ),
    X( :sex ),
    Crosstabs(
        Count( 1 ),
        Total %( 1 ),
        Col %( 1 ),
        Row %( 1 ),
        Expected( 0 ),
        Deviation( 0 ),
        "Cell Chi^2"n( 0 )
    )
);

Example 3

Summary: Perform contingency analysis

Code:

// Open data table
dt = Open("$Sample_Data/Car Physical Data.jmp");
// Contingency
Contingency(
    Y( :Country ),
    X( :Type ),
    Contingency Table(
        Count( 1 ),
        Total %( 1 ),
        Col %( 1 ),
        Row %( 1 ),
        Expected( 0 ),
        Deviation( 0 ),
        Cell Chi Square( 0 ),
        Col Cum( 0 ),
        Col Cum %( 0 ),
        Row Cum( 0 ),
        Row Cum %( 0 )
    )
);

Example 4

Summary: Generate contingency analysis

Code:

// Open data table
dt = Open("$Sample_Data/Car Poll.jmp");
// Contingency
Contingency(
    Y( :type ),
    X( :marital status )
);

Example 5

Summary: Generate contingency analysis with correspondence analysis

Code:

// Open data table
dt = Open("$Sample_Data/Cheese.jmp");
// Contingency
Contingency(
    Y( :Response ),
    X( :Cheese ),
    Freq( :Count ),
    Crosstabs( 0 ),
    Tests( 0 ),
    Correspondence Analysis( 1 )
);

Example 6

Summary: Stack columns of a table and perform contingency analysis on the stacked data

Code:

// Open data table
dt = Open("$Sample_Data/Children's Popularity.jmp");
// Stack Columns and Analyze
Data Table( "Children's Popularity.jmp" )
 << Stack(
    columns(
        :Grades, :Sports, :Looks, :Money
    ),
    Source Label Column(
        "Characteristic"
    ),
    Stacked Data Column( "Importance" ),
    Output Table( "Stacked Importance" )
);
Contingency(
    Y( :Characteristic ),
    X( :Importance ),
    Contingency Table(
        Count( 1 ),
        Total %( 0 ),
        Col %( 0 ),
        Row %( 0 ),
        Expected( 0 ),
        Deviation( 0 ),
        Cell Chi Square( 0 ),
        Col Cum( 0 ),
        Col Cum %( 0 ),
        Row Cum( 0 ),
        Row Cum %( 0 )
    )
);

Example 7

Summary: Analyze a contingency table for the relationship between smoking status and lung cancer incidence.

Code:

// Open data table
dt = Open("$Sample_Data/Lung Cancer Choice.jmp");
// Contingency
Contingency(
    Y( :Lung Cancer ),
    X( :Smoker ),
    Freq( :Count ),
    Contingency Table(
        Count( 1 ),
        Total %( 0 ),
        Col %( 0 ),
        Row %( 1 ),
        Expected( 0 ),
        Deviation( 0 ),
        Cell Chi Square( 0 )
    ),
    Tests( 0 )
);

Example 8

Summary: Perform a contingency analysis on the Lung Cancer data table using Smoking status as the independent variable, with frequency counts.

Code:

// Open data table
dt = Open("$Sample_Data/Lung Cancer.jmp");
// Contingency
Contingency(
    Y( :Lung Cancer ),
    X( :Smoker ),
    Freq( :Count ),
    Contingency Table(
        Count( 1 ),
        Total %( 0 ),
        Col %( 0 ),
        Row %( 1 ),
        Expected( 0 ),
        Deviation( 0 ),
        Cell Chi Square( 0 )
    ),
    Tests( 0 )
);

Example 9

Summary: Construct a contingency table to analyze the relationship between message recipients (To) and senders (From) using count, total percentage, column percentage, and row percentage.

Code:

// Open data table
dt = Open("$Sample_Data/Mail Messages.jmp");
// Contingency
Contingency(
    Y( :To ),
    X( :From ),
    Crosstabs(
        Count( 1 ),
        Total %( 1 ),
        Col %( 1 ),
        Row %( 1 ),
        Expected( 0 ),
        Deviation( 0 ),
        "Cell Chi^2"n( 0 )
    )
);

Example 10

Summary: Calculate and display contingency statistics for a 2x2 table using the Agreement Statistic.

Code:

// Open data table
dt = Open("$Sample_Data/Prime Minister Ratings.jmp");
// Contingency
Contingency(
    Y( 2 ),
    X( 1 ),
    Freq( 3 ),
    Agreement Statistic( 1 )
);

Example 11

Summary: Perform a contingency analysis on categorical variables age and sex, displaying counts, percentages, and expected frequencies.

Code:

// Open data table
dt = Open("$Sample_Data/World Class.jmp");
// Contingency
Contingency(
    Y( :age ),
    X( :sex ),
    Crosstabs(
        Count( 1 ),
        Total %( 1 ),
        Col %( 1 ),
        Row %( 1 ),
        Expected( 0 ),
        Deviation( 0 ),
        "Cell Chi^2"n( 0 )
    )
);