ExtractDataStack: ExtractDataStack function

Description

This function extracts data stack according to the data scenario, sample id and simulation run specified.

Usage

ExtractDataStack(data.stack,
                 data.scenario = NULL,
                 sample.id = NULL,
                 simulation.run = NULL)

Arguments

data.stack

defines a DataStack object.

data.scenario

defines the data scenario index to extract. By default all data scenarios will be extracted.

sample.id

defines the sample id to extract. By default all sample ids will be extracted.

simulation.run

defines the simulation run index. By default all simulation runs will be extracted.

Value

This function extract a particular set of data stack according to the data scenario, sample id and simulation runs index. The object returned by the function is a list having the same structure as the data.set argument of a DataStack object:

data.set

a list of size corresponding to the number of simulation runs specified by the user defined in the simulation.run argument. This list contains the data generated for each data scenario (data.scenario argument) and each sample specified by the user (sample.id argument).

References

http://gpaux.github.io/Mediana/

Examples

Run this code

# NOT RUN {
  # Generation of a DataStack object
  ##################################

  # Outcome parameter set 1
  outcome1.placebo = parameters(mean = 0, sd = 70)
  outcome1.treatment = parameters(mean = 40, sd = 70)

  # Outcome parameter set 2
  outcome2.placebo = parameters(mean = 0, sd = 70)
  outcome2.treatment = parameters(mean = 50, sd = 70)

  # Data model
  case.study1.data.model = DataModel() +
    OutcomeDist(outcome.dist = "NormalDist") +
    SampleSize(c(50, 55, 60, 65, 70)) +
    Sample(id = "Placebo",
           outcome.par = parameters(outcome1.placebo, outcome2.placebo)) +
    Sample(id = "Treatment",
           outcome.par = parameters(outcome1.treatment, outcome2.treatment))


  # Simulation Parameters
  case.study1.sim.parameters = SimParameters(n.sims = 1000,
                                             proc.load = 2,
                                             seed = 42938001)

  # Generate data
  case.study1.data.stack = DataStack(data.model = case.study1.data.model,
                                     sim.parameters = case.study1.sim.parameters)

  # Print the data set generated in the 100th simulation run
  # for the 2nd data scenario for both samples
  case.study1.data.stack$data.set[[100]]$data.scenario[[2]]$sample

  # Extract the same set of data
  case.study1.extracted.data.stack = ExtractDataStack(data.stack = case.study1.data.stack,
                                                      data.scenario = 2,
                                                      simulation.run = 100)

  # A carefull attention should be paid on the index of the result.
  # As only one data.scenario has been requested
  # the result for data.scenario = 2 is now in the first position (data.scenario[[1]]).
# }
# NOT RUN {
# }

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