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Introduction to R, Spring 2019, Aarhus

Graduate School of Science and Technology at Aarhus University

Objectives of the course:
The aim of the course is to introduce the student to the basic use of the software R. The course is designed to build up the basic skills in R necessary for attending to the course Basic Statistical Analysis for Life and Environmental Sciences.


Learning outcomes and competences:
At the end of the course, the student should be able to:

Read and write data in R, perform basic operations with variables, vectors and matrices, make simple tabulations, use and create simple functions, use repeated and conditional calculations, reshape and merge data sets, draw simple graphs in R, and use and install packages in R.


Course parameters:
Language: English
Level of course: PhD
Time of year: February 2019 (Week 8)
No. of contact hours/hours in total incl. preparation, assignment(s) or the like: 12 hours confrontation + 12 hours homework/self study.
Capacity limits: Minimum 10 and maximum 20 participants


Compulsory program:


Course contents:

  1. Introduction to edition in an R environment
  2. Basic data structures in R
  3. Methods to read and write data in R
  4. Basic calculations and manipulations of data in R
  5. Simple descriptive statistics and graphical representation of data in R
  6. Installing and using packages in R.





Type of course/teaching methods:
Lectures interlaced with practical exercises and homework.




Course homepage: 


Course assessment:
Attendance to the course and a short assignment.


Special comments on this course:
It is assumed that each student works on her/his own computer. The PhD students should install the program R and Rstudio on their computers before the course starts.

PhD students who intend to follow the course Basic Statistical Analysis in Life and Environmental Sciences will have priority in the course Introduction to R.



  • Tuesday, 19 February 2019 at 9–12 and 13-15.
  • Wednesday, 20 February 2019 at 9-12 and 13-15.



Aarhus University, Room to be announced.


No show fee:
Please note the following: As from 2017, a no-show fee is introduced at GSST’s transferable skills courses for course participants who do not show up at the course or cancel their course participation after the course registration deadline – unless they can provide a Doctor’s note. The no-show fee will be DKK 1,200 (the price of one ECTS). The no-show fee is introduced because GSST has experienced many late cancellations, thus preventing people from the waiting lists to have a seat at the courses.


Deadline for registration is 21 January 2019. Information regarding admission will be sent out no later than 25 January 2019.

Due to an Agreement between Danish Universities coming into force as of 1 January 2011, participants from other universities than Aarhus University will have to pay DKK 1,200 per ECTS. In principle this also applies to external parties, but exemption can be granted under specific circumstances.

Registration for participants from Aarhus University:

Registration for participants from other universities:

Please note that seats are allocated on a first-come-first-served basis.

If you have any questions, please contact PhD Partner Karen Konradi, GSST (



Deadline for registration is 21 January 2019.

If you have any questions, please contact PhD Partner Karen Konradi, GSST (


Course dates
19 February 2019 - 20 February 2019
Rodrigo Labouriau
Aarhus University
Aarhus C
1 points

If you want your phd course shown on this site, please contact your local Phd-school.
If you have questions about specific courses on the site, please find contact info on the course page.
If you have general questions about the administration of the side, contact Universities Denmark at dkuni @