Introduction to R & Data
R is a powerful programming language suitable for data handling, visualisation, and statistical analysis. In this workshop, we aim to give you the tools to start exploring R and all it has to offer for your research.
This one-day workshop will take you from the very basics of R syntax to data handling and visualisation using the ‘tidyverse’ package in R. In the first half of the workshop, you will become familiar with R syntax and data types, learn about vectors and data structures, explore handling missing data, and apply indexing techniques for vectors, lists, and dataframes. Additionally, you will delve into programming techniques such as if statements, loops, and functions. In the second half of the workshop, you will learn techniques for working with datasets using the ‘tidyverse’ package such as importing data, subsetting and mutating data, performing transformations, and ensuring tidy data principles. Finally, you will explore the basics of data visualisation.
Note that the workshop focuses on the fundamentals of working with R and data, it will not cover statistical analyses in R.
During the workshop, we will work with RStudio and R Markdown. By the end of the workshop, you will be sufficiently familiar with R to start handling your own data in a clean, robust, and reproducible manner.
- You do not need any prior experience with R or programming. The workshop is suitable for beginners.
- The workshop is open to participants from Utrecht University (UU) and UU-affiliated organisations (for example, UMC Utrecht) only.
There are no costs associated with this workshop.
The workshop is planned for the following dates:
- 12 September 2023
- 10 October 2023
- 5 December 2023
- 16 January 2023
- 13 February 2024
- 12 March 2024
- 9 April 2024
- 7 May 2024
- 4 June 2024
For registration and practical information, please visit the agenda item for a specific workshop date. We reserve the right to cancel or reschedule workshops due to insufficient registrations or unforeseen circumstances.
This workshop has a study load of 8 hours. Your Graduate School may be able to provide ECTS based on this study load.
If you have any questions, please contact us via firstname.lastname@example.org.
Can’t make it to this workshop? Do you prefer to learn in a self-paced manner? Our course materials are available online! You can work through them at your own pace and drop by the Walk-In Hours and/or Programming Café if you have any questions.