Presented by Dr Paul Baxter, at the Royal Statistical Society in London.
This course will introduce participants to the R environment for statistical computing through the use of R commander – a menu-driven interface to R. Day 1 of the course focuses on entering, working with and visualising data. Day 2 focuses on regression modelling, including linear, logistic and Poisson models. Day 1 requires familiarity with basic statistical methods (e.g. t-tests, boxplots) but assumes no previous knowledge of statistical computing. The two days can be taken together, or separately depending on a participant’s 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 commander.
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) who wish to migrate to using R commander for their analyses.
For more information about the course and to register, please visit www.rss.org.uk/courses
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