Date: 31st October - 1st November 2013
Duration: 2 days
Delivered by: Dr David Lucy
Registration deadline has passed.
Please contact email@example.com for more information about this course.
The course fees include all supporting documentation and refreshments.
- External from industry/commerce - £510
- External from academic institution/public sector/charity - £440
- External postgraduate student - £300
- Lancaster University staff - £120
- Lancaster University postgraduate student - £60
- Members of Mathematics and Statistics at Lancaster University - £ 0
R is both statistical language and a major statistical software product, providing the main route to dissemination of recent statistical methodology (free to download from the internet). This course introduces R, explains the syntax and introduces a wide range of statistical models which can be fitted.
Topics covered include: an introduction to the R language, reading data, data description and graphics, the general linear model (GLM), analysis of variance, logistic regression, survival analysis, multivariate techniques, the use of R libraries and www resources in R.
- manipulation and management of data in the R environment
- summarising data numerically and graphically
- fitting linear models in R
- statistical analysis using R
- functions, iterations, and conditions in R
Students will learn through the application of concepts and techniques covered in the course to real data sets. Students will be encouraged to examine issues of substantive interest in these studies.
Successful students will:
- have an increased understanding of the R programming language
- be able to produce basic statistics and create graphs
- be familiar with the R syntax for writing functions, iterations and conditions
- be familiar with linear models in R
Registrations are transferable to another course or individual at any time. Full refunds will be given for cancellation 10 or more working days before the course start date. Otherwise the full course fee will be charged.