getDesignSet {rpact} | R Documentation |
Get Design Set
Description
Creates a trial design set object and returns it.
Usage
getDesignSet(...)
Arguments
... |
|
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 adata.frame
, -
as.matrix()
to coerce the object to amatrix
.
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))
## Not run:
if (require(ggplot2)) plot(designSet, type = 1)
## End(Not run)
# 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))
## Not run:
if (require(ggplot2)) plot(designSet, type = 1)
## End(Not run)
# 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")
)
## Not run:
if (require(ggplot2)) plot(designSet, type = 8, nMax = 20)
## End(Not run)