Basic statistics in R


  • Get an idea of what R and Rstudio is, where to find more information, how to install and use it
  • Use R to handle data: data types, reading data
  • Use R to create graphics
  • Use mathematical functions and basic statistical techniques in R 
  • Write and manage R scripts


This training gives an introduction to the use of the statistical software language R. R is a language for data analysis and graphics. This introduction to R is aimed at beginners. The training covers data handling, graphics, mathematical functions and some statistical techniques. 
R is for free and for more information you can visit the site the CRAN web site.
This training is an introduction to the use of R and RStudio and stops at very basic analyses (t-tests and non-parametric equivalents). A full overview of statistical analyses in R including regression, ANOVA will be given in the follow-up training Basic statistics in R, part II.


The training is intended for people who have no experience with R. However, understanding of basic statistical concepts is required, such as data types, normal distribution, descriptive statistics, tests for comparing groups... If you don't have sufficient statistical background you are strongly encouraged to attend the Basic statistics theory training. 

This training is recommended for people with no experience in R who are planning to follow a training that requires some R background, like the metagenomics training and the RNA-Seq training

Detailed schedule
Day 1: 
9h30-12h30    Introduction, working with R/RStudio, data structures
13h30-17h00  Data structures, reading data from files

Day 2
 9h30-12h30 Writing scripts, descriptive statistics
13h30-17h00 Data reformatting, Graphics

Day 3:
9h30-12h30   Graphics
13h30-17h00 Basic statistical tests
Organised by the VIB Bioinformatics Core


7, 14 and 21 January 2019, from 9h30 to 17h00


Park Inn by Radisson Leuven
Martelarenlaan 36
3010 Leuven


Janick Mathys

Training material:

Registration not open yet

Registration start date:

29 October 2018 (12:00)

Registration end date:

24 December 2018