Workshop November 2019: Foundations of R

A 2-day a step by step interactive introduction to the free open-source R and RStudio programs. A mix of lectures and hands-on exercises to introduce R to participants with no previous experience.

 

The course is held in ACSPRI's Melbourne Office

Dates: 
Friday, November 15, 2019 - Saturday, November 16, 2019
Early bird cutoff date: 
Friday, October 25, 2019
Course details:

This 2-day workshop covers the foundations of using the free open-source R and RStudio programs to run their analysis. The course is a mix of lectures and hands-on exercises to introduce participants to the foundations for using R and RStudio.

 
Workshop - runs over 2 days
Instructor: 

Dr Joanna Dipnall is a biostatistician with the School of Public Health and Preventative Medicine (SPHPM) at Monash University and Honorary Research Fellow with School of Medicine at Deakin University. She holds a B.Ec(Honours) from Monash University, and a PhD from the School of Medicine at Deakin University. She also lectures and tutors with the Department of Statistics, Data Science and Epidemiology at Swinburne University. Joanna has developed a novel Risk Index for Depression (RID) utilising SEM and machine learning techniques that brought together five key determinants of depression. She has been a teacher of Stata software for over 15 years, training across Australia and overseas and was a member of the Scientific Committee for the Oceania Stata Users Group Meeting in 2017.

Course dates: Friday 15 November 2019 - Saturday 16 November 2019
Venue: 
ACSPRI Office
Week: 
Week 1
About this course: 

This course is a step by step interactive introduction for participants with no experience with R and RStudio. Notes will be provided and a set of exercises, covering a variety of data sets, will be run together during the lecture and also individually at the end of the day. The course content is particularly suited for those involved in research in the business, education, social and health sciences.

 

Participants will first be introduced to the foundations of R such as libraries, matrix manipulation, objects, and data frames. Participants will use R Markdown in RStudio to generate reports, tables and graphics to Word, PDF and HTML files. Once the foundations have been covered a variety of data management skills will introduced (e.g. filtering data, merging data). The production of descriptive statistics tables and graphs will be covered so that participants can easily use RStudio to explore data and produce reports.

 

The last session on each day will finish with a set of exercises for participants to run on their own and practice what they have learned that day. Please note that due to the short 2-day structure, there will not be any time set aside for analysing participant’s own data.

 

Course syllabus: 

Day 1

  • Lecture 1: Foundations of R
  • Lecture 2: Foundation data management skills
  • Lecture 3: Producing basic statistics and tables
  • Lecture 4: Producing your first simple report
  • Exercises in R

 

Day 2: 

  • Lecture 1: Review of day 1
  • Lecture 2: Extending data management skills
  • Lecture 3: Basic R Graphics
  • Exercises in R

 

Course format: 

This workshop will take place in a classroom environment.

Participants are required to use their own laptop and have downloaded R and RStudio prior to the workshop

Recommended Background: 

This course assumes that participants have:

(1) A reasonable understanding of statistics to be able to comprehend the basic statistics such as mean, median and interquartile range.

(2) Some familiarity with a PC environment including keyboard skills and understanding of folder and file structures.

(3) Some experience in using Microsoft Word and Excel or their equivalent.

It does not assume prior experience with R, Stata, SAS, SPSS or any other specific statistical packages although any such experience would be helpful.

Recommended Texts: 

Course notes will be supplied.

 

No specific references are suggested but participants might find the following text useful:

  • “Discovering Statistics Using R” by Andy Field and Jeremy Miles.
  • “Data Analysis and Graphics Using R” by John Maindonald and W. John Braun.
Course Fees:
All courses at a given program have the same fee structure, but fees vary depending on whether your organisation is an ACSPRI Member and whether there are Early Bird Discounts available at the time. The prices for this program are available on the program page.
Supported by: 

 

 

Prices

(per course)

Member: 
$1,300
Non Member: 
$2,300
Full time student Member: 
$1,200
Early bird Member: 
$1,000
Early bird Non Member: 
$2,000
Early bird full time student Member: 
$800
Venues: 

The ACSPRI Head Office is located at 763 Heidelberg Road, Alphington, just before the corner of Yarralea St.

 

Accommodation: 

The ACSPRI Office is only 20 minutes from the Melbourne's CBD via train. Accommodation located close to any of the City Loop train stations (Parliament, Melbourne Central, Spencer St, Flinders St and {on weekdays} Flagstaff) or other stations along the Hurstbridge Line will enable a very easy commute (see Transport below). We expect most visitors would appreciate staying quite centrally and there are numerous accommodation options. It is worth checking a travel website (expedia, tripadvisor, etc) to fine the best option for your budget and requirements, but we recommend staying close to a train station as per above.

 

Ivanhoe Quest Apartments are located 20 minutes walk east of the ACSPRI Office, along Upper Heidelberg Road.  You can also catch the train to Alphington Station from either Ivanhoe Station (2 stops - city direction) or Darebin Station (1 stop - city direction). You can also walk to Heidelberg Road (4 mins) take the 546 Bus to Yarralea Street, which is opposite our office.

 

 

Car Parking / Transport: 

Alphington Station is roughly 20 minutes from Melbourne Central (and other City loop stations) on the Hurstbridge Line and only a few minutes' walk from the ACSPRI office. There are also a number of bus lines that service the area. Bus services are very limited on weekends and the train is recommended. Click here for the journey planner.

 

By car, the quickest route for many local Melbournians will be via the Eastern Freeway and/or Chandler Hwy. From the CBD the Eastern Freeway from the Inner North will also probably be the quickest route. At that time on a weekend 20 minutes would allow plenty of time. Parking is usually available in Yarralea St or nearby but not on Heidelberg Road. 

 

Secure space is available to store bicycles at the office. The office is very close to Alphington Park, which backs onto the Yarra River and subsequently a vast network of Melbourne's bike paths.

 

 

Venue and Timetable: 

The course will run from 9.30am until 4.30pm each day (unless otherwise notified).

Breaks are usually held at 11:00 - 11:15, 12:45 - 1.15 and 2:45 - 3:00. Lunch and a small morning and afternoon tea are provided each day.