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Trial Design Set Summary

Source: R/class_design_set.R
summary.TrialDesignSet.Rd

Displays a summary of ParameterSet object.

Usage

# S3 method for class 'TrialDesignSet'
summary(object, ..., type = 1, digits = NA_integer_)

Arguments

object

A ParameterSet object.

...

Ensures that all arguments (starting from the "...") are to be named and that a warning will be displayed if unknown arguments are passed.

digits

Defines how many digits are to be used for numeric values. Must be a positive integer of length 1.

Value

Returns a SummaryFactory object. The following generics (R generic functions) are available for this result object:

Details

Summarizes the trial designs.

Summary options

The following options can be set globally:

  1. rpact.summary.output.size: one of c("small", "medium", "large"); defines how many details will be included into the summary; default is "large", i.e., all available details are displayed.

  2. rpact.summary.justify: one of c("right", "left", "centre"); shall the values be right-justified (the default), left-justified or centered.

  3. rpact.summary.width: defines the maximum number of characters to be used per line (default is 83).

  4. rpact.summary.intervalFormat: defines how intervals will be displayed in the summary, default is "[%s; %s]".

  5. rpact.summary.digits: defines how many digits are to be used for numeric values (default is 3).

  6. rpact.summary.digits.probs: defines how many digits are to be used for numeric values (default is one more than value of rpact.summary.digits, i.e., 4).

  7. rpact.summary.trim.zeroes: if TRUE (default) zeroes will always displayed as "0", e.g. "0.000" will become "0".

Example: options("rpact.summary.intervalFormat" = "%s - %s")

How to get help for generic functions

Click on the link of a generic in the list above to go directly to the help documentation of the rpact specific implementation of the generic. Note that you can use the R function methods to get all the methods of a generic and to identify the object specific name of it, e.g., use methods("plot") to get all the methods for the plot generic. There you can find, e.g., plot.AnalysisResults and obtain the specific help documentation linked above by typing ?plot.AnalysisResults.