Introduction to R Workshop (4 day workshop)
|DATE:||03 June 2019|
|LOCATION:||University of Reading, Earley Gate, Agriculture GL20-PC|
The Centre for Literacy and Multilingualism at the University of Reading is sponsoring a 4-day "Introduction to R" course (3-6 June 2019) aimed at postgraduate students and staff interested in learning to use R for statistical modelling. The course is intended for beginner learners and it does not assume prior knowledge of R, but you will need to have an understanding of regression analysis to make the most of the section on linear models.
The course will be taught by Dr Lauren Ackerman from Newcastle University
Dr Ackerman is a Research Excellence Academy Fellow in the School of English Literature, Language and Linguistics at Newcastle University. Her research examines how world knowledge influences real-time sentence processing and comprehension by using experimental methods such as eye-tracking, self-paced reading, and survey analysis. She has led workshops on R for statistical analysis and data visualisation in linguistics and across disciplines.
The provisional 4-day programme includes the following topics:
1. R and RStudio interfaces, RMarkdown, and best practices
- Basic functionality, shortcuts, writing scripts and notebooks, organising files, interfacing with GitHub
2. Data frame manipulation using Tidyverse
- Piping syntax and code replicability
- Tidyr, Dplyr, related packages
- Cleaning, combining, and rearranging data frames
3. Data visualisation using ggplot and best practices
- Structure and syntax of ggplot and geom
- Customising and combining plots
- Determining what plot is best for your data
4. Basic linear models without and with mixed effects (including gaussian, binomial, and ordinal)
- building/selecting an appropriate model, including random effect structures
- maximal vs parsimonious models
- practical use of lm(), lmer(), glm(), glmer(), clmm()
- dummy coding vs contrast coding
- interpreting the output
Please note that the number of places is limited to 15 for non-University of Reading attendees.
The fee is £280 and it includes coffee breaks and lunch throughout the four days of the course.
Please book through the University's online store.