Date(s) - 05/11/2019
9:00 am - 12:00 pm

Hodgkin Building
Newcomen St

Summary (or descriptive) statistics are the first figures used to represent nearly every dataset, and are essential to the analysis process. This tutorial will explore the ways in which R can be used to calculate summary statistics, including the mean, standard deviation, range, frequencies and proportions. We will also explore some of R’s graphic capabilities and create summary plots such as scatterplots, histograms, bar charts and box and whisker plots.

This tutorial assumes no knowledge of R programming, although attendees will be expected to be familiar with using spreadsheets for data entry and have a basic understanding of statistics.

Course description

  • Introduction to R and its capabilities as a statistical software
  • Familiarisation with R Studio – Open the programme, create working directories, create and save an R script, get help for a function and interpret the help documentation
  • Importing different types of data into R – csv, txt, STATA, SPSS, RData formats
  • Exploring data – commands for descriptive statistics
  • Plotting data – commands for scatterplots, histograms, bar charts and box and whisker plots
  • Scenario 1 and 2 – using example datasets, present 2 different scenarios and ask students to summarize the data in order to answer the research question at hand.

Who can attend?

The courses are free for health care professionals employed by organisations associated with the National Institute of Health Research Biomedical Research Centre at Guy’s & St Thomas’ and King’s College London:

  • King’s College London
  • Guy’s and St Thomas’ NHS Foundation Trust
  • South London and the Maudsley NHS Foundation Trust
  • King’s College Hospital NHS Foundation Trust
  • St George’s University of London
  • St George’s Hospitals NHS Foundation Trust

Places are booked on a first come, first served basis. If the module is full, your name will be placed on a waiting list and if a place becomes available you will contacted at the latest 72 hours beforehand.

Non Attendance Policy

The courses in this programme are very popular and are often oversubscribed. If you are unable to attend a course you are booked on to you must notify us 72 hours in advance so we can offer the place to someone else.

If you do not attend on the day and are unable to provide a satisfactory explanation you may be removed from future course bookings.

For further information please contact the NIHR Guy’s and St Thomas’ BRC Research Training Programme at