Introduction to R (One day Workshop - 17th June 2015)
Note that this workshop is now fully booked. If you have not already registered, then you may be interested in the second workshop that has been scheduled for later in June (details available here)
Date: Wednesday 17th June 2015
Time: 10:00AM to 5:00PM. Participants may wish to arrive from 9:30AM onwards to get setup.
Venue: Room East 2, Level 2 BC Building Burwood Corporate Centre Deakin University Burwood Campus 221 Burwood Hwy Burwood VIC 3125
Deakin Staff and Students: Free but need to register below
Non-Deakin Staff and Students: $250
Presenter: Dr Jeromy Anglim is a lecturer in research methods in the School of Psychology at Deakin University and has been using R as his primary statistical tool for over ten years. He is the former organiser of the Melbourne R User group and has contributed extensively to the online R community. He has authored many journal articles using R and is the author of the "personalityfacets" R package. For more information see http://jeromyanglim.blogspot.com.au/search/label/R
What is R and RStudio? R is a free and open source platform for data analysis. RStudio provides a user-friendly interface for interacting with R. Both R and RStudio run on Mac OSX, Windows, and Linux operating systems. R provides similar functionality to other full-featured statistical packages such as SPSS, Stata, and SAS. In many respects, R provides a superior environment for performing flexible, thorough, and reproducible data analyses. However, R does have a reputation for being challenging for beginners. Thus, this workshop seeks to highlight why learning R is worthwhile, and provide users with a solid basis for getting started with R.
Who is this course for? This course is designed for complete novices and beginner users of R and RStudio. The final section on workflow and reproducible research should also be of interest to intermediate R users. Although relevant to anyone wanting to learn how to use R, it will be particularly suited to academic and industry researchers in the social and behavioural sciences interested in applying R in their research.
The course will provide an introduction to R and RStudio with an emphasis on:
What can R do? Why and when would you want to use it?
Data types, functions, operations
R Packages (installing, loading, using)
Standard statistical functions (e.g., descriptive statistics, correlations, linear regression)
Overview of what is possible (multilevel modelling, structural equation modelling, Bayesian analysis, bootstrapping, meta-analysis, etc.)
How to organise a complete data analysis project with ProjectTemplate
How to use knitr to create reproducible data analysis documents that process raw data and produce statistical output
The course will include a mixture of lecture-style presentation and interactive exercises.
Requirements: Participants are required to bring their own laptops and install R and R Studio prior to attending the workshop (both are free).
Internet Wi-Fi You should be able to access internet using Wi-Fi on the day.
If you have a university email account (Deakin or another Australian university), you can access the eduroam wi-fi network.
If you are not affiliated with a university, you can access the Guest WiFi Deakin network. Simply follow the prompts.
Please download and install R onto your laptop prior to the course. The latest version is 3.2.0 (May 2015). To download and install the latest version:
If using Windows (XP, Vista or 7) download the binary from http://cran.ms.unimelb.edu.au/bin/windows/base/release.htm If you use a different operating system such as Mac OSX go to http://cran.ms.unimelb.edu.au and follow the links.
Open the file and install
Linux users can usually use their standard package manager.
Go to: http://www.rstudio.com/products/rstudio/download/
Click on the installer for your operating system to download
Open the installer to install RStudio
On Windows, to check R Studio is working double click the desktop icon, or Click: Start => All programs => R Studio => R Studio.
Videos on installing R and Rstudio
Video of installation for OSX https://www.youtube.com/watch?v=Ywj6yNfc5nM
Video of installation for Windows https://www.youtube.com/watch?v=5ZbjUEg4a1g
Preliminary Readings While not required, you may wish to have a look at some introductory tutorials on R.
A very quick introduction to R http://cran.r-project.org/doc/contrib/Torfs+Brauer-Short-R-Intro.pdf
An introduction to R for psychological research http://personality-project.org/r/
A longer and more advanced introduction to R particularly suitable for people with some programming and statistical background http://cran.r-project.org/doc/manuals/R-intro.pdf
A wide selection of contributed documentation on R http://cran.r-project.org/other-docs.html
Parking and getting there A map of the Burwood campus of Deakin University is available here: http://www.deakin.edu.au/campuses/burwood-map.php
Parking is $6.00 per day A simple option for parking involves driving into entrance 1 and going to the multilevel parking at the back of campus, but there are other options. At this time of year there should be plenty of parking. http://www.deakin.edu.au/life-at-deakin/our-locations/melbourne-burwood-campus/map
Catering Tea, coffee, and a basic morning and afternoon tea will be provided. Lunch will be at the participant's expense. There are a range of eating options on the first floor of the BC Building.
