Introduction to R

Course dates

22 November 2017.

Course duration

1 day (approximately 6 hours teaching, including 4 hours of practical sessions).
Registration will start at 9am, the course will finish by 5pm.

Course tutors

Dr Harriet Mills, James Staley (course organisers) and others.

Course aims 

To introduce the statistical software package R, focusing on providing the starting point needed to exploit R’s huge potential for statistical analysis.

Please note: This course will not contain much statistical analysis in R. Some simple routines in R will be used as examples but the key learning objective is to become familiar with R so that you can then explore the huge range of possibilities for analysis using R. 

Course objectives

By the end of the course students will be able to:

  • access the R website, download and install R;
  • implement the basic operations of R;
  • read in data from multiple sources;
  • understand, manipulate and explore different types of R objects such as vectors, matrices and data frames;
  • find help about a given command and explore similar commands;
  • use R script files to organise R commands;
  • display summary statistics and basic plots;
  • download, install and find documentation for additional R libraries.

Who the course is intended for

The course is intended for anyone with no previous experience of R, but who wants to use R in their day to day work for storing, summarising and analysing data. Previous experience with handling data is therefore required, as is a familiarity with Microsoft Windows. No previous knowledge of R or of statistical analyses will be assumed.

Course outline

This course is an introduction to R for individuals with no previous experience of the language. It is a single day with 6 hours of practicals and demonstrations to give participants hands on experience of using R. We will cover basic calculations, representation of data in R, using scripts, functions and packages to aid your analyses and how to create some basic plots. The course aims to give users a start in R, show them its potential for statistical analyses and give them the confidence to explore R further by themselves.

Please note: The course will be held in a computer lab, you will not need to bring a laptop.

Booking

Make a booking

Free - full, waiting list in operation.
Paid - places available.

Really useful and excellent introduction to R - a lot to pack into one day but I think it gave a really good overview for me to go away and start exploring myself, which is what I was hoping for.

Course feedback, November 2016

Course fee

£220

More information on course fees, fee waivers and reduced prices.

Course venue

Bristol Medical School
Canynge Hall
39 Whatley Road
Bristol
BS8 2PS
United Kingdom

Map and directions

Course refreshments

We provide morning and afternoon refreshment breaks, including tea and coffee, biscuits and fresh fruit.

If you have specific dietary needs we ask that you let us know in advance.

Lunch is not included. There are a range of local cafes and supermarkets nearby for students to purchase lunch. 

Accommodation

Information about accommodation in the area.

Contacts

For further information please email short-course@bristol.ac.uk.

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