Welcome to DataFakeR!

In DataFakeR: Generate Fake Data for Relational Databases

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  eval = TRUE,        
  echo = TRUE,         # echo code?
  message = TRUE,     # Show messages
  warning = TRUE,     # Show warnings
  fig.width = 8,       # Default plot width
  fig.height = 6,      # .... height
  dpi = 200,           # Plot resolution
  fig.align = "center"
)
knitr::opts_chunk$set()  # Figure alignment   

DataFakeR 0.1.3 is now available!

Top Links

• The main code repository is at https://github.com/openpharma/DataFakeR.
• Submit bugs and feature requests at https://github.com/openpharma/DataFakeR/issues
• The package Roadmap highlighting future development plans can be found at https://github.com/openpharma/DataFakeR/projects/1

Pages

Here is a list of our main package pages

|Topic|Description| |:--------|:------| |Home|Main DataFakeR package website| |Simulation workflow|High-level description of how DataFakeR works| |Schema Structure|Learn details of schema tables description| |Sourcing schema structure from DB|Find out how DataFakeR sources schema structure from database and how to customize it| |Simulation options|Learn more about customization options such as default parameters and simulation methods| |Simulating methods|Learn what simulation methods DataFakeR offers and how to create custom ones| |Extra parameters|Check for extra DataFakeR features that allow to get even more sophisticated results|

Getting help

There are two main ways to get help with DataFakeR

1. Reach the package author via email: [e-mail].
2. Post an issue on our GitHub page at https://github.com/openpharma/DataFakeR/issues.

DataFakeR documentation built on Feb. 16, 2023, 7:38 p.m.