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An introduction to modelling in R, 3-4 November 2010

publication date: Mar 12, 2010
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This course, presented by Paul Baxter and Andrew Blance of the University of Leeds, will introduce participants to the R environment for statistical computing. Day 1 focuses on entering, working with and visualising data in R. Day 2 focuses on regression modelling in R, including linear, general linear, logistic and survival models. Participants can either register for both days, or for either Day 1 or Day 2, depending on their background and interests.

Day 1 will be ideally suited to those:

  • familiar with basic statistical methods (e.g. t-tests, boxplots) and who want to implement these methods using R.
  • who have used menu-driven statistical software (e.g. SPSS, Minitab) and who want to investigate the flexibility offered by a command line package such as R.

Day 2 will be ideally suited to those:

  • already familiar with basic statistical methods in R and who wish to extend their knowledge to regression involving multiple predictor variables, binary, categorical and survival response variables.
  • familiar with regression methods in menu-driven software (e.g. SPSS, Minitab) and who wish to migrate to using R for their analyses.
Course presenters

Paul Baxter is a Senior Research Fellow in the Division of Biostatistics at the University of Leeds. He is a Chartered Statistician and a member of the Council of the Royal Statistical Society.

Andrew Blance is the principal lecturer for Statistical Thinking - a comprehensive programme of short courses in Medical Statistics run by the University of Leeds.

Feedback from previous delegates on similar courses

“Interesting presentations, helpful practical sessions”

“Provides good basis of knowledge to develop understanding of package”

“…an excellent course for beginners”

 Further information and registration details are on the RSS website.


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