Recurrence Analysis

Example 1

Summary: Perform a detailed Recurrence Analysis on bladder cancer data by fitting a multi-state model, calculating cost, comparing different treatment groups, and labeling patients.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/Bladder Cancer.jmp");
// Recurrence Analysis
Recurrence Analysis(
    Y( :Age ),
    Cost( :Cost ),
    Grouping( :Treatment Group ),
    Label( :Patient Number ),
    Plot MCF Differences( 1 )
);

Example 2

Summary: Conduct recurrence analysis to identify patterns and costs associated with system failures over time using the Recurrence Analysis function.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/Diesel Ship Engines.jmp");
// Recurrence Analysis
dt = Current Data Table();
dt << Clear Select;
dt << Select Excluded << Exclude;
dt << Clear Select;
obj =
Recurrence Analysis(
    Y( :kHours ),
    Cost( :Cost ),
    Label( :System ID )
);

Example 3

Summary: Perform a Recurrence Analysis grouped by System ID, incorporating hours and cost data.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/Diesel Ship Engines.jmp");
// Recurrence Grouped
dt = Current Data Table();
dt << Clear Select;
dt << Select Excluded << Exclude;
dt << Clear Select;
obj =
Recurrence Analysis(
    Y( :kHours ),
    Cost( :Cost ),
    Grouping( :System ID ),
    Label( :System ID )
);

Example 4

Summary: Perform recurrence analysis on a data table with age, cost, and engine ID variables.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/Engine Valve Seat.jmp");
// Recurrence Analysis
Recurrence Analysis(
    Y( :Age ),
    Cost( :Cost ),
    Label( :EngineID )
);