---
title: "Welcome to DataFakeR!"
author: "Krystian Igras"
date: "`r Sys.Date()`"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Welcome to DataFakeR!}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r setup, include = FALSE}
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   
```

## <span style="color:blue"> DataFakeR 0.1.3 is now available\!</span>

## Top Links

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

## Pages

Here is a list of our main package pages

|Topic|Description|
|:--------|:------|
|[Home](https://openpharma.github.io/DataFakeR/)|Main `DataFakeR` package website|
|[Simulation workflow](datafaker_workflow.html)|High-level description of how `DataFakeR` works|
|[Schema Structure](schema_structure.html)|Learn details of schema tables description|
|[Sourcing schema structure from DB](structure_from_db.html)|Find out how `DataFakeR` sources schema structure from database and how to customize it|
|[Simulation options](simulation_options.html)|Learn more about customization options such as default parameters and simulation methods|
|[Simulating methods](simulation_methods.html)|Learn what simulation methods `DataFakeR` offers and how to create custom ones|
|[Extra parameters](extra_parameters.html)|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: krystian8207@gmail.com.
2. Post an issue on our GitHub page at [https://github.com/openpharma/DataFakeR/issues](https://github.com/openpharma/DataFakeR/issues).