ECTS: 4
Course leader: Florian Franck Privé
Language: English
Graduate school: Faculty of Health
Course fee: 4,800.00 DKK
Status: Course is finished
Semester: Fall 2024
Application deadline: 18/06/2024
Cancellation deadline: 01/08/2024
Course type: Classroom teaching
Start date: 19/08/2024
Administrator: Lena Melchior
Criteria for participation
In order to take part of this course, you must have some basic knowledge in R and some experience writing some R code; How to create variables, functions, loops, etc. and how to subset objects such as vectors and data frames.
Please note:
When applying you will be placed on waiting list. When application deadline has passed you will be informed if you have got a seat on the course.
The Advanced R course (A297/05) is being offered by the Graduate School of Health, Aarhus University, 2024.
Requirements for participation: Participants must have some basic knowledge in R and some experience writing some R code. How to create variables, functions, loops, etc. How to subset objects such as vectors and data frames.
Aim: This course aims to give PhD students a greater understanding of the R language for them to produce more clean, sophisticated and efficient R code, and also make them adopt better practices and learn more about packages and tools that will simplify their life when coding in R and doing some data analysis and visualization.
Note that this is NOT a Statistics course.
Learning outcomes: At the end of the course, participants should be able to:
- Use RStudio with a better setup to be more efficient in their work
- Version their code with Git to keep track of changes in their code
- Understand more R as a programming language and write better, simpler code
- Manipulate and visualize data with the tidyverse and R Markdown
- Produce efficient R code
- Develop an R package
Workload: The full workload of the course is expected to be 30 hours
Content:
- Good practices + advanced programming with R
- Data analysis with the tidyverse
- Code performance
- How to make an R package
Instructors: Jette Steinbach & Florian Privé
Venue: Fuglesangs Allé 26, 8210 Aarhus V – 2641-130 IT-Undervisningslokale
Time and date: Week #34 (August 19-23) from 9 to 12 and 13 to 16 (30 hours in total).
Maximum number of participants: 18
Program:
- Day 1: Good practices and setup + Advanced programming with R + Introduction to R Markdown
- Day 2: Data visualization with {ggplot2} + Data analysis with {dplyr} and other packages
- Day 3: Data analysis with {dplyr} and other packages (cont.) + Code performance
- Day 4: How to make an R package + Project preparation
- Day 5: Project preparation (cont.) + Project presentation
Participation in the course is without cost for:
- PhD students, Health Research Year students from Aarhus University
- PhD students enrolled at partner universities of the Nordoc collaboration
- PhD students from other institutions in the open market agreement for PhD courses
Course dates:
- 19 August 2024 09:00 - 16:00
- 20 August 2024 09:00 - 16:00
- 21 August 2024 09:00 - 16:00
- 22 August 2024 09:00 - 16:00
- 23 August 2024 09:00 - 16:00