Career development | Working effectively
R: Introduction (modular)
This is an introduction course to data analysis in R. The course is modular, which means that participants can choose to attend any 1, 2, or 3 days, if they have sufficient knowledge about R to do so.
- Target group
-
Lecturer
Researcher
Postdoctoral researcher
PhD candidate
Guest - Teachers
- Sjoerd Huisman (Contact person) Ligaya Breemer (Education and research staff member) Julian Karch (Assistant professor)
- Method
-
Training course
Deadline registration is Monday 16 January 2023.
Focus
The focus of this course is on teaching R, not statistical theory. So the analyses are limited to first-year BSc materials.
Programme
Day 1
- Basic commands and data types in R
- Using existing functions and external packages
- Loading data files
- Making selections and calculating summary statistics
- An example statistical analysis with interpretation of the output and relevant plots
Day 2 (required knowledge: topics of day 1)
- Data manipulation in R
- Making plots for various variable types
- Performing common statistical tests and viewing their output (t-tests, chi-squared tests, linear regression, ANOVA)
Day 3 (required knowledge: topics of day 1 and 2):
- Reproducible research with RStudio projects
- Tidyverse and ggplot2
- Using knitr to integrate manuscript and code
- Basic data simulation
- Writing your own functions
- Using loops
Please bring your own laptop, with a working installation of R and Rstudio (see starting-up instructions).
Mode of instruction
The course will consist of a mix of lectures, demonstrations and doing exercises.
Reading list
There will be a document with starting-up instructions (installing R and Rstudio). Participants are required to bring their own laptops.
Fees
|
Target group |
One day |
Two days |
Three days |
|
PhD candidates FSW |
FREE |
FREE |
FREE |
|
Staff FSW |
€300 |
€400 |
€500 |
|
Other Leiden University PhD candidates |
€215 |
€315 |
€415 |
|
Externals |
€450 |
€600 |
€750 |