Introduction to R

This is a one day intensive course on R. This course will be a mixture of lectures and computer practicals. The main focus will be to introduce fundamental R concepts.

No prior programming knowledge of any kind is assumed. This course is suitable to a wide range of applicants e.g., biologists, statisticians, engineers, students.

Course outline:

  • Introduction to R: A brief overview of the background and features of the R statistical programming system.
  • Entering Data: A description of how to import and export data from R.
  • Data types: A summary of R's data types.
  • R environment: A description of the R environment including the R working directory, creating/using scripts, saving data and results.
  • R Graphics: Creating, editing and storing graphics in R.
  • Manipulating data in R: Describing how data can be manipulated in R using logical operators

Course Structure

This course will be structured as follows:

  • 08:30 - 09:00: Registration and coffee
  • 09:00 - 10:30: Lecture
  • 10:30 - 10:45: Coffee break
  • 10:45 - 12:15: Computer lab
  • 12:15 - 1:15: Lunch (not provided)
  • 1:15 - 2:45: Lecture
  • 2:45 - 3:00 Coffee break
  • 3:00 - 4:30 Computer lab

Comments from previous courses

  • Clear explanations; combination of theory and practice is excellent.
  • Good pace, good split of practical and lecture.
  • Excellent introduction to R!
  • Nice friendly environment.
  • Almost one to one! Great teaching, good lectures.

Presenter

Dr Colin Gillespie, Statistics Lecturer in the School of Mathematics & statistics.