Introduction to Data Analysis with R
Aims
The open-source software environment R (www.R-project.org) is a powerful platform for data analysis and statistical graphics that has become the global standard in statistical computing. R houses an ever-growing extensive collection of tools for statistics and data analysis – an attractive basis for thorough exploration of your data. Furthermore, it provides a powerful programming language coupled with flexible graphical capabilities.
In this two-day course, you will learn the basics of working with data in R, including how to apply some widely used statistical techniques. The application of these techniques will be illustrated by practical R examples, and there will be time for students to gain practical experience with R by conducting analyses as exercises, with the lecturers being available for assistance. Upon completion of the course, you will therefore be able to incorporate the data analytic power of R into your research.
Information
- An overview of R and the RStudio interface
- Basic R functionality for reading and manipulating data sets
- Exploring data with descriptive statistics and graphics
- Linear regression modelling
- Mediation and moderation analysis
Assessment
- Homework in the form of practical analyses in R, which need to be prepared as an R script.
- Presentation and discussion of the prepared R script in the form of a short report.
Materials
Course notes will be provided.
There are no prescribed books. The following books are recommended to interested students as further reading material:
- R.I. Kabacoff (2015). R in Action. 2nd edition. Manning.
- P. Dalgaard (2008). Introductory Statistics with R. 2nd edition. Springer.
Additional info
The course will be taught in English and is limited to 25 participants. Students are required to bring their own laptops to class (R and RStudio can be installed for free).
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More information and detailed timetables can be found here.
ERIM PhD candidates and Research Master students can register for this course via SIN Online.
External (non-ERIM) participants are welcome to this course. To register, please fill in the registration form and e-mail it to miizuka@rsm.nl by four weeks prior to the start of the course. Please note that the number of places for this course is limited. For external participants, the course fee is 260 euro per ECTS credit.
