R user group Oxford
Welcome to the home of the Oxford R Users Group. We are dedicated to bringing together area practitioners of R to exchange knowledge, inspire new users, and spur the adoption of R for innovative research and commercial applications.
We are holding regular meetings on the first Monday of every month in the Department of Statistics, Oxford. For information about upcoming talks and events, please check our meetup page meetup.com/Oxford-R-User-Group for latest information. Everyone is welcome!
Upcoming events
- 9th
May 20222
- James Laird-Smith (https://jameslairdsmith.com/) – Advanced data exploration with corrr
Past events
- 4th
April 2022
- Daniel de Bortoli and Vasiliki Chatzi – Music mood analysis: Predicting mood from Spotify audio features
- 7th
March 2022
- Andrew Collier (https://datawookie.dev/) – {emayili} Advanced Email from R
- 3rd
February 2020
- Milan Wiedemann (https://www.milanwiedemann.com) – My journey from error messages to R Packages - Building tools to improve reproducibility and productivity in clinical psychology [slides]
- 2nd
December 2019
- Karina Marks – Putting the R in JupyteR notebooks [slides]
- 4th
November 2019
- Ulrik Lyngs (https://ulriklyngs.com) – Reproducible research with R Markdown - feat. article and DPhil thesis writing [slides]
- 7th
October 2019
- Julia Clark – A step by step guide to “How I produced my first Shiny app”, followed by a discussion of use cases with examples
- 16th
September 2019
- Jakob Theorell – Building and publishing R packages: lessons learnt while turning code snippets into DepecheR [slides]
- 3rd
June 2019
- Toryn Poolman – MixOmics: integrating multiple “omic” datasets in R
- 13th
May 2019
- Nayyar Kazmi – Uses of R in Digital Marketing and E-Commerce
- 8th
April 2019
- Douglas Ashton – Deep Learning in R with Keras and Google Cloud ML Engine
- 4th
March 2019
- Douglas Campbell – We use Microsoft in this Council, how does R fit in? Some experiences with officeR in local government
- Douglas Campbell – Demonstrating that you’ve taken account of a consultation. Using RQDA to analyse texts and emails
- 4th
February 2019
- Nic Crane – 10 Steps to Becoming a Tidyverse Contributor [slides]
- 14th January 2019
- 5th
November 2018
- Ioannis Kosmidis – Package and collaboration networks in CRAN [slides]
- 9th
October 2018
- Kaspar Märtens – Creating animations using gganimate [slides and code]
- Thomas Joseph – The curious profile of a retail customer [sildes]
- 3rd
September 2018
- Martin John Hadley – Reproducible Dataviz Workflows with R [slides and code examples on figshare]
- 13th
June 2018
- Michael Betancourt – Towards a Principled Bayesian Workflow [Summary of the talk together with case-study]
- 4th June 2018
- 30th
April 2018
- Manuel Spitschan – Using colour in R: Fundamentals and applications
- 9th
April 2018
- Ella Kaye – Turning your PhD (or other research project!) into an R package [slides html] [slides pdf]
- 5th
March 2018
- Rich FitzJohn – Using R’s crazy introspection to build humane user interfaces
- 4th
December 2017
- Nic Crane from Mango Solutions – R in the Wild: A Safari Adventure through Industry (slides)
- 6th
November 2017
- Constantin Ahlmann-Eltze – ggplot2: whistlestop tour from basics to extensions (slides)
- 2nd
October 2017
- David Zimmermann – Introduction to the tidyverse (slides)
- 4th
September 2017
- Ella Kaye – Getting help with R (slides)
- Kieran Campbell – Being a hipstR: a tour of the coolest R packages you’ve never heard of (slides)
- 18th May 2017
- Ella Kaye – Ranking items scalably with the Bradley-Terry model: An introduction to the BradleyTerryScalable package
- Tim Lucas – Caret and zoon: machine learning, ecology and domain specific package systems
- 5th April 2017
- Martin John Hadley – Interactive graphics with Shiny & R
- Kaspar Märtens – R Markdown and R Notebooks
- 10th November 2016
Sponsors
Oxford R user group is kindly sponsored by the R consortium.
We follow the R Consortium and the R Community Code of Conduct