This course is part of the PhD course program of the Amsterdam UMC-AMC Graduate School.

  • Location: Academic Medical Center, Amsterdam.
  • ECTS: 0.4
  • Teachers: Perry Moerland (coordinator), Aldo Jongejan and Michel Hof

Goal

R is a simple programming language for statistical computing. Due to its flexibility and the large variety of statistical functions available in R, it is a popular alternative for programs like SPSS. However, for a beginner mastering R can be rather difficult. This course helps the student to become familiar with the basics of R. After the course the student will be able to write short programs in R for basic (data) analyses and for plotting figures.

Schedule (September 2020 edition)

LocationDayTime
L0-211/229/227September 21, 20209-12am
L0-211/229/227September 22, 20209-12am
L0-211/229/227September 24, 20209-12am
L0-211/229/227September 25, 20209-12am

Course material (September 2020 edition)

Datasets for exercises

Information on R

  • R homepage
  • R and its packages can be downloaded from CRAN
  • Introductory material
    • Learn R interactively using swirl. Use their ‘R Programming’ course to refresh what you learnt in our course.
    • Datacamp offers several on-line courses at the beginner and intermediate level with lots of exercises
    • Cookbook for R offers many great examples
    • A short introduction to R with a nice list of common error messages (and how to maybe solve them) on the last page
    • Quick-R shows the commands to be used for many aspects of a statistical analysis, and has been useful information for experienced users of some other statistical packages
    • Documentation for R packages organized by topical domain