Introduction to R
Instructor: Patricio Troncoso
Fee: £195 (£140 for those from educational, government and charitable institutions).
CMI offers up to five subsidised places at a reduced rate of £60 per course day to research staff and students within Humanities at The University of Manchester. These places are awarded in order of application.
Humanities PGR students at The University of Manchester can apply for a methods@manchester bursary to help cover their costs. All applications will be considered on a case-by-case basis and applicants will be required to provide a supporting statement from their supervisor.
Please note: this is not guaranteed and is considered on a case by case basis. Please contact us for more information.
This one day course aims to provide a basic introduction to R for those with no previous experience with this statistical programming language. We will discuss some of the motivations to use R (instead of other applications) and provide a practical introduction to the basic grammar of R language. Specifically, we will cover how to create and import data into R and provide an overview of the basic procedures available for visualising and describing data. To illustrate the use of R, we will get practical, hands-on experience of using standard statistical techniques.
By the end of the day you should:
- Be familiar with different GUIs and environments that are used to interact with R and to be comfortable with communicating in syntax
- Understand the basic structure of the R language and how R stores data on its memory
- Be able to produce basic data visualisations
- Be able to fit standard statistical models in R
- Know where to go next in order to strengthen your R training
Basic training on statistics (introductory statistics) will be assumed, but nothing else.
- Field, A., Miles, J., Field, Z. 2012. Discovering statistics using R. Sage.
- Teetor, P. 2011. R Cookbook. O’Reilly.