getDesignCharacteristics {rpact}R Documentation

Get Design Characteristics


Calculates the characteristics of a design and returns it.


getDesignCharacteristics(design = NULL, ...)



The trial design.


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


Calculates the inflation factor (IF), the expected reduction in sample size under H1, under H0, and under a value in between H0 and H1. Furthermore, absolute information values are calculated under the prototype case testing H0: mu = 0 against H1: mu = 1.


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

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.

See Also

Other design functions: getDesignConditionalDunnett(), getDesignFisher(), getDesignGroupSequential(), getDesignInverseNormal(), getGroupSequentialProbabilities(), getPowerAndAverageSampleNumber()


# Calculate design characteristics for a three-stage O'Brien & Fleming 
# design at power 90% and compare it with Pocock's design.  
getDesignCharacteristics(getDesignGroupSequential(beta = 0.1))
getDesignCharacteristics(getDesignGroupSequential(beta = 0.1, typeOfDesign = "P")) 

[Package rpact version 4.0.0 Index]