Course A297/01 Advanced R course

ECTS: 2.4

Course leader: Florian Franck Privé

Language: English

Graduate school: Faculty of Health

Max seats: 20

Applicants: 18

Status: Course is finished

Application deadline: 06/10/2020

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.