The R Cafe is a community event for R users of Utrecht University, UMCU and HU (University of Applied Sciences Utrecht). The goal of the event is to share knowledge about R and help researchers with programming problems. The meeting lasts 2 hours, is held every month, and is open without registration.
This repository contains additional material for the R Cafe. There are several exercises and tips in the exercises folder.
During each event, an R user demonstrates an interesting package or application of R. The additional material for the demonstrations can be found in the themes folder.
Each R Cafe features a short showcase or demonstration of (maximum) half an hour. These presentations are given by attendees of the Cafe. We are always looking for people who want to present something. Please send an email to Jonathan de Bruin (j.debruin1@uu.nl) to request to give a presentation.
| When | Where | Showcase |
|---|---|---|
| Bucheliusroom UU Library (Uithof) | CANCEL -> Coronavirus | |
| 20 April 2020 from 15:00 to 17:00 | Bucheliusroom UU Library (Uithof) | CANCEL -> Coronavirus |
| 18 May 2020 from 15:00 to 17:00 | Bucheliusroom UU Library (Uithof) | CANCEL -> Coronavirus |
| 15 June 2020 from 15:00 to 17:00 | Bucheliusroom UU Library (Uithof) | CANCEL -> Coronavirus |
| When | Where | Showcase |
|---|---|---|
| 19 February 2020 from 15:00 to 17:00 ❗ Wednesday ❗ | Bucheliusroom UU Library (Uithof) | Deep Learning in R by Ayoub Bagheri(Start at 15:30, 30 minutes) |
| 9 December 2019 from 15:00 to 17:00 | Bucheliusroom UU Library (Uithof) | Start with RMarkdown;A gentle slide (show) into R-package development by Marc Teunis |
| 25 November 2019 from 15:00 to 17:00 | Bucheliusroom UU Library (Uithof) | Text classification in R (part 2) by Jonathan de Bruin |
| 28 October 2019 from 15:00 to 17:00 | Bucheliusroom UU Library (Uithof) | Text mining in R (part 1) by Jonathan de Bruin |
| 30 September 2019 from 15:00 to 17:00 | Bucheliusroom UU Library (Uithof) | - |
| 17 June 2019 from 15:00 to 17:00 | Bucheliusroom UU Library (Uithof) | Machine Learning by Wienand Omta by Wienand Omta |
| 20 May 2019 from 15:00 to 17:00 | Bucheliusroom UU Library (Uithof) | Simple Features by Jonathan de Bruin |
| 15 April 2019 from 15:00 to 17:00 | Bucheliusroom UU Library (Uithof) | |
| 25 March 2019 from 15:00 to 17:00 | Bucheliusroom UU Library (Uithof) | Code snippets in RStudio by Jonathan de Bruin |
| 25 February 2019 | Bucheliusroom UU Library (Uithof) | Heatmaps by Barbara Vreede |
| 28 January 2019 | Bucheliusroom UU Library (Uithof) | How to keep it togetheR, by Marc Teunis |
| 10 December 2018 | Bucheliusroom UU Library (Uithof) | Long and wide data by Jonathan de Bruin |
| 12 November 2018 | Bucheliusroom UU Library (Uithof) | Shiny apps by Kimberley Lek |
| 15 October 2018 | Bucheliusroom UU Library (Uithof) | git and github by Barbara Vreede |
| 10 September 2018 | Bucheliusroom UU Library (Uithof) | DESeq2 for RNASeq analysis by Barbara Vreede |
| 11 June 2018 | Bucheliusroom UU Library (Uithof) | Meta-analyses by Cathalijn Leenaars (UU) |
| 14 May 2018 | Bucheliusroom UU Library (Uithof) | Joining data by Jonathan de Bruin |
| 16 April 2018 | Bucheliusroom UU Library (Uithof) | JASP by Erik-Jan van Kesteren |
| 12 March 2018 | Bucheliusroom UU Library (Uithof) | R Markdown by Jonathan de Bruin (UU) |
| 12 February 2018 | Bucheliusroom UU Library (Uithof) | Reading and writing foreign dataformats by Wietze Pasma (UMCU) |
| 15 Januari 2018 | Bucheliusroom UU Library (Uithof) | Regular Expressions by Tessa Pronk (UU) |
| 11 December 2017 | Bucheliusroom UU Library (Uithof) | |
| 13 November 2017 | Bucheliusroom UU Library (Uithof) | Hypothesis testing by Kees Mulder (UU) |
| 16 October 2017 | Bucheliusroom UU Library (Uithof) | ggplot by Jonathan de Bruin (UU) |
Data Handling
- http://r4ds.had.co.nz/transform.html
- Dates and times cheatsheet
- Work with strings cheatsheet
- Data transformation cheatsheet
Generalised linear models (GLM)
- https://www.r-bloggers.com/generalised-linear-models-in-r/
- https://www.r-bloggers.com/how-to-perform-a-logistic-regression-in-r/
- https://www.r-bloggers.com/an-intro-to-models-and-generalized-linear-models-in-r/
Visualisation
Documenting
R Packages
- https://emilyriederer.netlify.com/post/rmarkdown-driven-development/
- https://github.com/jennybc/pkg-dev-tutorial
- https://r4ds.had.co.nz/
- http://r-pkgs.had.co.nz/
- Rtools
- Functions
- "here! here!" - github link J. Bryan
There are useful cheatsheets available for R topics like visualisation, string handling and Rmarkdown. You can find the cheatsheets at the website of RStudio (https://www.rstudio.com/resources/cheatsheets/)
- TBD
RDM support hosts a monthly course with an introduction to R and data. Check it out!