rpact: Confirmatory Adaptive Clinical Trial Design and Analysis

getDesignSet {rpact}

R Documentation

Get Design Set

Description

Creates a trial design set object and returns it.

Usage

getDesignSet(...)

Arguments

...

designs or design and one or more design parameters, e.g., deltaWT = c(0.1, 0.3, 0.4).

design The master design (optional, you need to specify an additional parameter that shall be varied).
designs The designs to compare (optional, you need to specify the variable variedParameters).

Details

Specify a master design and one or more design parameters or a list of designs.

Value

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

names to obtain the field names,
length to obtain the number of design,
print to print the object,
summary to display a summary of the object,
plot to plot the object,
as.data.frame to coerce the object to a data.frame,
as.matrix to coerce the object to a matrix.

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.

Examples

# Example 1
design <- getDesignGroupSequential(alpha = 0.05, kMax = 6, 
    sided = 2, typeOfDesign = "WT", deltaWT = 0.1)
designSet <- getDesignSet()
designSet$add(design = design, deltaWT = c(0.3, 0.4))

if (require(ggplot2)) plot(designSet, type = 1)


# Example 2 (shorter script)
design <- getDesignGroupSequential(alpha = 0.05, kMax = 6, 
    sided = 2, typeOfDesign = "WT", deltaWT = 0.1)
designSet <- getDesignSet(design = design, deltaWT = c(0.3, 0.4))

if (require(ggplot2)) plot(designSet, type = 1)


# Example 3 (use of designs instead of design)
d1 <- getDesignGroupSequential(alpha = 0.05, kMax = 2,
	 sided = 1, beta = 0.2, typeOfDesign = "asHSD",
	 gammaA = 0.5, typeBetaSpending = "bsHSD", gammaB = 0.5)
d2 <- getDesignGroupSequential(alpha = 0.05, kMax = 4,
	 sided = 1, beta = 0.2, typeOfDesign = "asP",
	 typeBetaSpending = "bsP")
designSet <- getDesignSet (designs = c(d1, d2),
	 variedParameters = c("typeOfDesign", "kMax"))

if (require(ggplot2)) plot(designSet, type = 8, nMax = 20)

[Package rpact version 3.0.0 Index | www.rpact.org]