ECTS: 2.4
Course leader: Florian Franck Privé
Language: English
Graduate school: Faculty of Health
Status: Course is finished
Semester: Fall 2020
Application deadline: 06/10/2020
Cancellation deadline: 20/10/2020
Start date: 03/11/2020
Administrator: Annette Poulsen
Title: Advanced R course
Reg.no: A297/01
is being offered by the Graduate School of Health, Aarhus University, fall 2020
Criteria for participation: University degree in medicine, dentistry, nursing, or Master’s degree in other fields and/or postgraduate research fellows (PhD students and research-year medical students).
Participants must have some basic knowledge in R. How to create functions, loops, variables, etc. How to subset objects such as vectors and data frames.
Aim: This course aims to give 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.
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 visualise data with the tidyverse and R Markdown
- Produce efficient R code
- Develop an R package
Content:
- Good practices + advanced programming with R
- Data analysis with the tidyverse
- Code performance
- How to make an R package
Recommended knowledge for participation: Participants must have some basic knowledge in R. How to create functions, loops, variables, etc. How to subset objects such as vectors and data frames.
Language: English
ECTS: 2.4
Head of course: Florian Privé
Instructors: Florian Privé
Number of participants: max 20
Time and date: 3, 5, 10, 12, 17, 19, 24 and 26 November from 9:00 - 12:00.
Place: Aarhus University, Building R, 2641-130, IT room (16), Fuglesangs Allé 26, 8210 Aarhus V
Program
03/11/20: Good practices and setup + Advanced programming with R
05/11/20: Advanced programming with R (cont.) + Introduction to R Markdown
10/11/20: Data visualization with {ggplot2}
12/11/20: Data analysis with {dplyr} and other packages
17/11/20: Data analysis with {dplyr} and other packages (cont.)
19/11/20: Code performance
24/11/20: Code performance (cont.)
26/11/20: How to make an R package
Course fee: DKK 2880
Participation in the course is without cost for:
- PhD students, Research Year students and Research Honours Programme 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
Application deadline: 6 October 2020
Application: https://service.health.au.dk/modules/Course/mypage/coursecalendar.
Course dates:
- 03 November 2020 09:00 - 12:00
- 05 November 2020 09:00 - 12:00
- 10 November 2020 09:00 - 12:00
- 12 November 2020 09:00 - 12:00
- 17 November 2020 09:00 - 12:00
- 19 November 2020 09:00 - 12:00
- 24 November 2020 09:00 - 12:00
- 26 November 2020 09:00 - 12:00