slides.Rmd

---
title: "An introduction to R"
author: "Robin Lovelace"
date: 'University of Leeds `r # Sys.Date()()`<br/><img class="img-footer" alt="" src="https://comms.leeds.ac.uk/wp-content/themes/toolkit-wordpress-theme/img/logo.png">'
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# Credit: Mandeep Lota via [flickr](https://www.flickr.com/photos/deepster2k/1096671706)

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# The team

### Robin Lovelace

- Especially cycling potential ([e.g. to school](http://eprints.whiterose.ac.uk/141852/))
- R developer and teacher, with three books on the subject 
- Lead Developer of the Propensity to Cycle Tool ([PCT](http://www.pct.bike/)) and PI on the Cycling Infrastructure Prioritisation Toolkit ([CyIPT](https://www.cyipt.bike))

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### Caroline

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### Hussein

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### Juan

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### How about you?

<!-- No time for go around, just type in the chat -->

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# Session overview

Part 1: what R can do 

Part 2: shared practical session

Part 3: working on your own/groups

- Using packages: https://itsleeds.github.io/rrsrr/pkgs.html around half an hour
- Manipulating data: filtering and selecting data: https://itsleeds.github.io/rrsrr/data.html#tibbles around half an hour
- Spatial data: https://itsleeds.github.io/rrsrr/space.html 

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## Set-up

See https://itsleeds.github.io/rrsrr/introduction.html#prerequisites

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## Why R

Growth + future proof: https://stackoverflow.blog/2017/10/10/impressive-growth-r/

Scalable: https://www.pct.bike/

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## Why not R?

- Time to learn

- Other options are available

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# Demo of using R

<!-- 20 mins - until around 09:30 -->

See https://github.com/Robinlovelace/openTransportDataDemo

![](https://camo.githubusercontent.com/5cc3bcc50e1b1e057510c6babc17694cea15a2e235a2a737a697392f3ff68cc7/68747470733a2f2f692e696d6775722e636f6d2f6f457576315a6a2e706e67)

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# Deeper dive into R

See https://itsleeds.github.io/rrsrr/

![](https://itsleeds.github.io/rrsrr/figures/road-casualties.png)

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# Questions on how to use R for transport research 

<!-- (20 minutes) -->

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## Breakout rooms

- See https://github.com/ITSLeeds/rintro

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## Further resources

- Use R's internal help, e.g. `?plot`

Beginner: https://rstudio.cloud/learn/primers/

Intermediate: Geocomputation with R https://geocompr.robinlovelace.net/transport.html

Advanced: R for Data Science https://r4ds.had.co.nz/introduction.html

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# Thanks + questions