rpact: Confirmatory Adaptive Clinical Trial Design and Analysis


TrialDesignSet_as.data.frame {rpact}R Documentation

Coerce Trial Design Set to a Data Frame

Description

Returns the TrialDesignSet as data frame.

Usage

## S3 method for class 'TrialDesignSet'
as.data.frame(
  x,
  row.names = NULL,
  optional = FALSE,
  niceColumnNamesEnabled = FALSE,
  includeAllParameters = FALSE,
  addPowerAndAverageSampleNumber = FALSE,
  theta = seq(-1, 1, 0.02),
  nMax = NA_integer_,
  ...
)

Arguments

x

A TrialDesignSet object.

niceColumnNamesEnabled

Logical. If TRUE, nice looking column names will be used; syntactic names (variable names) otherwise (see make.names).

includeAllParameters

Logical. If TRUE, all available parameters will be included in the data frame; a meaningful parameter selection otherwise, default is FALSE.

addPowerAndAverageSampleNumber

If TRUE, power and average sample size will be added to data frame, default is FALSE.

theta

A vector of standardized effect sizes (theta values), default is a sequence from -1 to 1.

nMax

The maximum sample size.

...

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

Details

Coerces the design set to a data frame.

Value

Returns a data.frame.

Examples

designSet <- getDesignSet(design = getDesignGroupSequential(), alpha = c(0.01, 0.05))
as.data.frame(designSet)


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