R is a powerful, flexible and open-source software package for statistical data analysis and graphical data representation. In some research domains, such as bioinformatics and biostatistics, R is the most often used program for statistical analysis. Increasingly, implementations of new statistical methodology first appear in R as an add-on package.
The R workshop will have 3 lectures with hands-on exercises are given ONLINE.
For this course, we offer the possibility to take an exam. For the PhD students in the faculties IOB and Applied Economics, this is a requirement to obtain a credits for these courses, but people from other faculties are allowed as well.
If you are interested in taking the exam, check the wants-to-take-exam-box in the registration form. Participating in the exam costs 10€, which is deduced automatically from your educational credit.
Course contents
At the end of the course, the student will be able to perform elementary data manipulation, graphics, text searching and statistical analysis using R.
- R language essentials
- data import, export and manipulation
- different types of data and data structures
- downloading packages
- graphical representation of data
- automation of procedures
- Statistical analysis
- exploratory data analysis
- hypothesis testing
- linear regression and ANOVA
- graphical representation of results
- Automation
- writing custom functions
- programming structures
Target audience / prerequisites
This course is aimed at pre- and post doctoral researchers who are already familiar with elementary statistical data analysis, but who were using different software up to now.
This is not a statistics course. The lessons about statistical techniques will focus on how to perform these techniques in R, but the theory behind the techniques is assumed to be known. The statistical techniques themselves are not subject of this course.
Instructors
Prices
PhD student UAntwerpen : € 50
UA-affiliated : € 90
Academic non-UA : € 160
Publicand non-profit sector : € 250
Private sector : € 500
Time and place
The next course will be in October 7-8-10, 2024 from 9.00 to 15.00 (Online).