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Returns the number of recruited subjects at given time vector.

Usage

getNumberOfSubjects(
  time,
  ...,
  accrualTime = c(0, 12),
  accrualIntensity = 0.1,
  accrualIntensityType = c("auto", "absolute", "relative"),
  maxNumberOfSubjects = NA_real_
)

Arguments

time

A numeric vector with time values.

...

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

accrualTime

The assumed accrual time intervals for the study, default is c(0, 12) (for details see getAccrualTime()).

accrualIntensity

A numeric vector of accrual intensities, default is the relative intensity 0.1 (for details see getAccrualTime()).

accrualIntensityType

A character value specifying the accrual intensity input type. Must be one of "auto", "absolute", or "relative"; default is "auto", i.e., if all values are < 1 the type is "relative", otherwise it is "absolute".

maxNumberOfSubjects

If maxNumberOfSubjects > 0 is specified, the end of accrual at specified accrualIntensity for the specified number of subjects is determined or accrualIntensity is calculated at fixed end of accrual.

Value

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

Details

Calculate number of subjects over time range at given accrual time vector and accrual intensity. Intensity can either be defined in absolute or relative terms (for the latter, maxNumberOfSubjects needs to be defined)
The function is used by getSampleSizeSurvival().

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

AccrualTime for defining the accrual time.

Examples

getNumberOfSubjects(time = seq(10, 70, 10), accrualTime = c(0, 20, 60), 
    accrualIntensity = c(5, 20))
#> Number of recruited subjects at given time:
#> 
#> User defined parameters:
#>   Time                           : 10.00, 20.00, 30.00, 40.00, 50.00, 60.00, 70.00 
#>   Accrual time                   : 20.00, 60.00 
#>   Accrual intensity              : 5.0, 20.0 
#> 
#> Default parameters: not available
#> 
#> Time and output:
#>   Maximum number of subjects     : 900 
#>   Number of subjects             : 50, 100, 300, 500, 700, 900, 900 
#> 
#> 

getNumberOfSubjects(time = seq(10, 70, 10), accrualTime = c(0, 20, 60), 
    accrualIntensity = c(0.1, 0.4), maxNumberOfSubjects = 900)
#> Number of recruited subjects at given time:
#> 
#> User defined parameters:
#>   Time                           : 10.00, 20.00, 30.00, 40.00, 50.00, 60.00, 70.00 
#>   Accrual time                   : 20.00, 60.00 
#>   Maximum number of subjects     : 900 
#> 
#> Default parameters: not available
#> 
#> Time and output:
#>   Accrual intensity              : 5.0, 20.0 
#>   Number of subjects             : 50, 100, 300, 500, 700, 900, 900 
#> 
#>