06 Jun module 00: essential tools for R
- module 00: Essential tools for R
01/09/2020 - 04/09/2020
10:00 am - 4:00 pm
Tue 01/09: 10:00 am - 04:00 pm | online
Wed 02/09: 10:00 am - 04:00 pm | online
Thu 03/09: 10:00 am - 04:00 pm | online
Fri 04/09: 10:00 am - 04:00 pm | online
week 0 | register now
This course gives an introduction to the use of the statistical software language R. R is a language for data analysis and graphics. In this course, you’ll learn the basics of R. This is a hands-on course with practical exercises. The course includes:
- An introduction to the R software
- Importing and exporting data in R
- Different data types and structures in R
- Basic data manipulations in R
- Making basic graphics in R
- Performing some basic descriptive and statistical analysis in R
- Gentle introduction to some more advanced techniques (e.g., writing your own functions, conditions and loops,..etc.)
In this course, you will find a mix of R basic programming and basic statistics. However, the focus is on getting acquainted with R instead of explaining statistical techniques. If you wish to have a formal training in statistical techniques, this is not the course for you. Also, if you wish to follow a course completely devoted only on programming in R, this is not the course for you.
It is recommended to install R and RStudio beforehand. Both are freely available:
- For R, you can visit the site https://cran.r-project.org for installation.
- For RStudio you can visit https://www.rstudio.com for installation
There are no prerequisites, but previous knowledge about basic mathematical and statistical principles (e.g., vectors, descriptive statistics) is recommended.
For whom: Everyone who is interested in using the R as statistical software.
Lara Stas obtained a master in psychology and a PhD in data analysis (UGent). In 2019, she became a statistical consultant at the Vrije Universiteit Brussel, where she provides statistical and methodological support for human and social scientists. Special interests: statistical consultancy (broadscale), dyadic data analysis, structural equation modeling, and R.
Wilfried Cools is trained as master in psychology who turned to methodology and statistics.
He is currently working as a consultant to support the research of others, at the Vrije Universiteit Brussel. He is spreading the word of R for more than a decade.