/R-data-cafe

R Cafe community event Utrecht University

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R Cafe

rcafe_logo.png

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.

Themes/showcases

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.

Scheduled meetings

When Where Showcase
23 March 2020 from 15:00 to 17:00 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

Previous meetings

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) Cancelled due to bad weather conditions
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)

Resources

Data Handling

Generalised linear models (GLM)

Visualisation

Documenting

R Packages

Cheatsheets

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/)

Organisation:

  • TBD

More:

RDM support hosts a monthly course with an introduction to R and data. Check it out!