An introduction to modelling in R (2 Day course)
An introduction to R (Day 1) / Regression models in R (Day 2)
Presenters: Paul Baxter and Andrew Blance, University of Leeds
3 and 4 November 2010
A course to introduce participants to the R environment for statistical
computing. Day 1 of the course 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.
The course has an applied focus. Each topic is introduced by the course
leaders using examples and practical demonstration in R (approximately 40% of
course time). Participants will then be invited to work through example
exercises in R with support from the course leaders (approximately 60% of
course time).
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.
For more information and to register, please visit
http://www.rss.org.uk/Docs/Intro_to_modelling_in_R.doc or contact
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