Learn R Programming

PReMiuM (version 3.0.24)

generateSampleDataFile: Generate sample data files for profile regression

Description

Generation of random sample datasets for profile regression.

Usage

generateSampleDataFile(clusterSummary)

Arguments

clusterSummary
A vector of strings of the covariate names as by the column names in the data argument.

Value

  • The output of this function is a list with the following elements
  • yModelThe outcome model according to which the data has been generated.
  • xModelThe covariate model according to which the data has been generated.
  • inputDataThe data.frame that contains the data.
  • covNamesThe names of the covariates.
  • fixedEffectNamesThe names of the fixed effects.

Authors

David Hastie, Department of Epidemiology and Biostatistics, Imperial College London, UK

Silvia Liverani, Department of Epidemiology and Biostatistics, Imperial College London and MRC Biostatistics Unit, Cambridge, UK

Maintainer: Silvia Liverani

References

Liverani, S., Hastie, D. I., Azizi, L., Papathomas, M. and Richardson, S. (2013) PReMiuM: An R package for Profile Regression Mixture Models using Dirichlet Processes. Submitted. Available at http://uk.arxiv.org/abs/1303.2836

Examples

Run this code
# generation of data for clustering

generateDataList <- clusSummaryBernoulliDiscrete()
inputs <- generateSampleDataFile(generateDataList)

Run the code above in your browser using DataLab