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, with the same number of exercise hours.

Course director

Michael Sachs, Section of Biostatistics

Teachers

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

Dates

4, 7, 11, 14, November 2024 all days from 8.00-14.00, with breaks for coffee and lunch.

Course location

CSS [See course email for location]

Course credit

To get credit for the course, you attend at least 80% of the course.