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,
- 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
This course will be structured as follows:
- 8:30 -- 9:00: Registration and coffee
- 9:00 -- 10:30: Lecture
- 10:30 -- 11:00: Coffee break
- 11:00 -- 12:00: Lecture
- 12:00 -- 1:00 Lunch (not provided)
- 1:00 -- 2:00 Practical 1
- 2:00 -- 2:40: Lecture
- 2:40 -- 3:00: Coffee break
- 3:00 -- 4:45: Practical 2
These times are intended to give a flavour of how the course is run and so are
subject to change.
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.
Dr Colin Gillespie, Statistics
Lecturer in the School of Mathematics & statistics.