Programming and statistical modelling in R
Link to padlet for ongoing class:
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.