R: Coerce Trial Design Set to a Data Frame

as.data.frame.TrialDesignSet {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. Must be a positive integer of length 1.
`...`	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

## Not run: 
designSet <- getDesignSet(design = getDesignGroupSequential(), alpha = c(0.01, 0.05))
as.data.frame(designSet)
## End(Not run)

[Package rpact version 4.1.0 Index]