This one-day course is the second in the "R" stream and is aimed at those who want to know how to use R for undertaking data analysis, the day showing you how to use R to carry out commonly used statistical techniques, including tabulation, t tests, analysis of variance and regression. You may bring your own data for analysis or use the example datasets we provide. We will be using RStudio as a front-end for managing the R programming.

If you are interested in this course you may also be interested in our preceding Getting to Know R course. We also offer a Getting Started with R and RStudio course and an R Conversion 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.

It is assumed that delegates have attended the Getting to Know R course or already know about the basics of programming in R and are familiar with the RStudio interface. It is also assumed that delegates have attended the "Survey Design & Analysis" stream of courses (see here and here) or "Quantitative Data Analysis" stream of courses (see here and here) or already have a good knowledge of the material in those courses.

There is no formal assessment as part of this course.