Using R
Date: 17th - 18th November 2011
Duration: 2 days
Delivered by: Dr David Lucy
Registration deadline has passed.
Please contact psc@lancaster.ac.uk for more information about this course.
- External from industry/commerce - £440
- External from an academic institution/public sector/charity - £120
- External postgraduate student - £60
- 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
- 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