class: center, middle, inverse, title-slide .title[ # An introduction to R ] .author[ ### Robin Lovelace ] .date[ ### University of Leeds <br /><img class="img-footer" alt src="data:image/png;base64,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"> ] --- background-image: url(https://c1.staticflickr.com/2/1216/1096671706_571a263b63_b.jpg) background-position: 50% 50% class: center, bottom, inverse # Credit: Mandeep Lota via [flickr](https://www.flickr.com/photos/deepster2k/1096671706) --- # 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)) -- ### Caroline -- ### Hussein -- ### Juan -- ### How about you? <!-- No time for go around, just type in the chat --> --- # 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 --- ## Set-up See https://itsleeds.github.io/rrsrr/introduction.html#prerequisites --- ## Why R Growth + future proof: https://stackoverflow.blog/2017/10/10/impressive-growth-r/ Scalable: https://www.pct.bike/ -- ## Why not R? - Time to learn - Other options are available --- # Demo of using R <!-- 20 mins - until around 09:30 --> See https://github.com/Robinlovelace/openTransportDataDemo  --- # Deeper dive into R See https://itsleeds.github.io/rrsrr/  --- # Questions on how to use R for transport research <!-- (20 minutes) --> --- ## Breakout rooms - See https://github.com/ITSLeeds/rintro --- ## 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 --- # Thanks + questions