This course is delivered over four half days and provides an introduction to the R programming language for statistics. The course uses the RStudio development environment for and will focus on the practical operation of the software and obtaining useful output.

The first two half days cover the basics of R and how it operates. You will learn how to get your data into R, manipulate it to obtain basic summary statistics, tables and charts and get to know how the R environment works.  You will also see how the impressive graphics capabilities of R can be used to produce customised charts.  As well as getting to know the R language, we will show you how RStudio can be used as a front-end for managing your R programming.

The third and fourth half days will show you how to use R to apply commonly used statistical techniques, including tabulation, hypothesis testing, linear regression and methods for categorical variables. You may bring your own data for analysis or use the example datasets we provide.

Instructions on how to obtain and install the free software R and RStudio will be given and you will need to have carried out this installation before the start of the course.

See our full range of courses (and options for bespoke courses) at https://go.herts.ac.uk/sscu or contact the course organiser, Professor Neil Spencer, at statistics@herts.ac.uk.

No prior knowledge of computer programming is required but familiarity with basic statistical methods would be advantageous.