index.Rmd

--- 
title: "Using R at Grattan Institute"
author: "Matt Cowgill, Will Mackey, and James Ha"
date: "`r Sys.Date()`"
site: bookdown::bookdown_site
output: bookdown::bs4_book
documentclass: book
bibliography: [book.bib, packages.bib]
biblio-style: apalike
link-citations: yes
github-repo: grattan/R_at_Grattan
description: "How to use R at Grattan"
---

# Welcome! {-}

This guide is designed for everyone who uses - or would like to use - R at Grattan Institute. 

The goal of this guide is to make it easy - even fun! - to use R at Grattan, whether you're doing analysis or reviewing someone else's analysis.

The guide does two main things:

1. Sets out some guidelines and good practices when using R at Grattan.
2. Shows you how to use R to undertake some of the analytical tasks you're likely to undertake at Grattan.

As a guide to using R, this website is helpful but incomplete. We can't possibly cover - or anticipate - all the skills you might need to know. If you make it to the end of this guide and want to learn more, start by reading [R for Data Science](https://r4ds.had.co.nz) by Hadley Wickham and Garrett Grolemund. It's free, and it is very good.

Because the guide is intended for everyone who uses R at Grattan, there may be some material that is too basic for more experienced users, or material that goes over the heads of beginners. That's OK - just skip those bits for now.

Any complaints or comments about this guide can be sent to Will or James, respectively. 


The book uses the following five notations/highlights to help you understand whats going on:^[yes, yes I know these aren't Grattan colours. Sorry!]

::: {.rmdimportant}
**Important:** this is a key bit of information.
:::

::: {.rmdtip}
**Learn more:** links to resources
:::

::: {.rmdnote}
**Note:** highlight this point, put it away somewhere safe.
:::

::: {.rmdwarning}
**Warning:** this is an area where a few people -- including the authors -- trip up.
:::

::: {.rmdcaution}
**Caution:** steer clear, don't do this!
:::




```{r, echo=FALSE}
knitr::opts_chunk$set(out.width = "100%")
```