---
title: "Training Resources for Road Safety Analysis with R"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Training Resources for Road Safety Analysis with R}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
author: "Robin Lovelace, Malcolm Morgan & Andrea Gilardi"
---

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```

## Overview

This guide provides curated training resources, online books, and reference materials for learning R, geographic data analysis, and reproducible road safety research.

## Recommended Resources

### 1. Reproducible Road Safety Research with R
- **Online Workbook**: [Reproducible Road Safety Research with R](https://itsleeds.github.io/rrsrr/)
- **PDF Report**: Available via the [RAC Foundation](https://www.racfoundation.org/wp-content/uploads/Reproducible_road_safety_research_with_R_Lovelace_December_2020.pdf)
- A comprehensive, hands-on guide specifically designed for road safety professionals and researchers working with `stats19`.

### 2. Geocomputation with R
- **Open-Access Book**: [r.geocompx.org](https://r.geocompx.org/)
- **Transportation Chapter**: [Transportation in Geocomputation with R](https://r.geocompx.org/transport.html)
- The definitive reference for spatial analysis, GIS operations, routing, and crash location mapping in R using `sf` and spatial data packages.

### 3. General R and Data Science
- **R for Data Science (2e)**: [r4ds.hadley.nz](https://r4ds.hadley.nz/)
- **Statistical Inference via Data Science (ModernDive)**: [moderndive.com](https://moderndive.com/)

## Getting Started with `stats19`

To begin exploring STATS19 road crash data, refer to the package vignettes:

- **Introductory Guide**: `vignette("stats19", package = "stats19")`
- **Fast DuckDB & Parquet Queries**: `vignette("duckdb", package = "stats19")`