Programming and statistical modelling in R

COURSE DESCRIPTION

Course title

Programming and statistical modelling in R

Learning objectives

The aim of the course is to make the participants able to

  • use programming principles (loops and functions) to handle repetitive tasks
  • use functions in R
  • use loops in R
  • do efficient data manipulation and aggregation

Content

The course covers use of the statistical software package R. The aim is to take the intermediate R user to the next level, and make use of programming techniques for more efficient use of R. A key focus in on introducing loops and functions. The course will consist of lectures and exercises over 4 days. This will give the students a chance to use and work with different aspects of R.

Participants

Ph.D.-students and health researchers with a basic knowledge of statistics corresponding to the course on basic statistics for health researchers and with a good working knowledge of R, e.g., as obtained by having already followed an introductory course on R.

Participants are expected to bring their own laptop with R installed for the exercises.

Relevance to graduate programmes

The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH:

ALL GRADUATE PROGRAMMES

Language

English.

Form

Lectures in four half days, four optional exercise hours placed as one each week.

Course director

Michael Sachs, Section of Biostatistics

Teachers

Michael Sachs and other members of the staff at the Section of Biostatistics.

Dates

11, 14, 18, 21, March 2024 all days from 10.00-16.00, with breaks for lunch.

Course location

CSS 2-1-55

Course credit

To get credit for the course, you must submit and pass the take-home exam. Attendance is encouraged but not required.

Send your solution to michael.sachs@sund.ku.dk no later than 23.59 on April 4.