Basic statistics in R
Basic statistics in R
24/03/2025 9h00-16h30
27/03/2025 9h00-16h30
3/04/2025 9h00-12h00
14/04/2025 9h00-12h00
General context
This course combines e-learning with online sessions
The course will consist of:
- a theoretical e-learning course to explain the statistics behind the analyses in R (not mandatory but recommended for those with few statistical knowledge)
- e-learning where you will watch parts of the theory upfront
- demo and exercise sessions on youtube where your questions will be answered and where you apply the theory on real-life example data
Since part of the course is done via e-learning you have to take into account that you will have to spend time on this course outside of class.
This introduction to the use of the free statistical software language R is aimed at beginners.
The training covers data handling, graphics, and basic statistical techniques (t-tests, one-way ANOVA, and non-parametric equivalents).
A full overview of statistical analyses in R including regression, two-way ANOVA... will be given in follow-up trainings.
By following this training, you will:
- get an idea of what R and Rstudio is
- use R to handle data: creating, reading, reformatting, and writing data
- use R to create graphics: bar charts, box, violin, scatter, PCA plots, heat maps, and various other plots
- use basic statistical techniques in R : t-tests, wilcoxon tests, one-way ANOVA, Kruskal Wallis tests, chi square tests, correlations, survival analysis...
- write and use R scripts
This training is recommended for people with no experience in R who are planning to follow a training that requires some R background, like computational flow cytometry, single cell RNASeq, linear mixed models metagenomics, and bulk RNASeq....
None
R
Rstudio
various R packages
Trainers
Janick Mathys
Janick tries to help VIB scientists analyze their data by offering bioinformatics training and support. Next to organizing trainings, creating e-learning courses and teaching statistics, R, Python, Linux, HPC, bulk and single cell RNA-Seq analysis, she consults scientists and develops pipelines for omics analyses. Before joining VIB, she worked as a post-doc at KULeuven, doing research on transcriptomics and transcription regulation. She coordinated the Master of Bioinformatics program of KULeuven and taught the course on Biological Databases.