Courses and Events
Introduction to R & Regression Modelling in R | |
Date | 01/11/2017 - 02/11/2017 |
Address | 12 Errol Street London |
Map | View in Goolge Maps (EC1Y 8LX) |
Description | Location: Royal Statistical Society, 12 Errol Street, London EC1Y 8LX The purpose of this course is 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. Learning Outcomes By the end of Day 1, participants will be able to use R to:
By the end of Day 2, participants will be able to:
Topics Covered Topics covered in Day 1 include: entering data and obtaining help in R; working with data in R; summarising data graphically and numerically in R; basic hypothesis tests in R. Topics covered in Day 2 include: the linear model in R; the general linear model in R; logistic regression in R; survival models in R. Target Audience This course is ideally suited to anyone who:
Assumed Knowledge The course requires familiarity with basic statistical methods (e.g. t-tests, box plots) but assumes no previous knowledge of statistical computing. Each participant will need to bring their own laptop installed with the R software (which can be downloaded free for Linux, MacOS X or windows from http://www.stats.bris.ac.uk/R/) |
Organiser/Chair | Dr Paul Baxter |
Institution | RSS |
Level | Intermediate (some prior knowledge) |
Cost | £450 |
Website and registration | |
Contact | Tessa Pearson training@rss.org.uk 02076143947 |
Keywords | |
Related publications and presentations | |