Introduction to R
22 November 2017.
1 day (approximately 6 hours teaching, including 4 hours of practical sessions).
Registration will start at 9am, the course will finish by 5pm.
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.
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.
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.
Free - full, waiting list in operation.
Paid - places available.
More information on course fees, fee waivers and reduced prices.
Bristol Medical School
39 Whatley Road
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.
Information about accommodation in the area.
For further information please email email@example.com.