R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework.
DurationLearn about the fundamental concepts in programming using R and apply them to analyse a sample research dataset.
About This Course
R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework.
But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in.
We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly.
Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation.
Learning Outcomes
Introduction to the RStudio interface for programming
Basic syntax and data types in R
How to load external data into R
Creating functions (FUNCTIONS)
Repeating actions and analysing multiple data sets (LOOPS)
Making choices (IF STATEMENTS – CONDITIONALS)
Ways to visualise data in R
Prerequisites
No prior experience with programming needed to attend this course.
We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer.
Intersect is an important part of Australia’s research infrastructure. We provide robust, innovative and collaborative technology to support world-class research at member and customer universities and other organisations.
We help researchers be more effective by providing them with highly advanced and specialised IT services and solutions.
In The Beginning
25 June 2008, Sydney Australia: A proposal for an “Institute for Trans-disciplinary eResearch Services & Technology” was approved by the DVCsR of the University of Sydney, Macquarie University, the University of NSW, Southern Cross University and the CEO of the Securities Industry Research Centre of Asia-Pacific (SIRCA).
A Board of Directors was appointed with Professor Mark Wainwright as Chair, Paul Martin as Secretary and Dr Michael Briers as interim CEO, and founding directors were John Shipp, John Masters, James Dalziel.
Intersect was incorporated as a not-for-profit company limited-by-guarantee, governed by a Constitution that grants NSW research institutions eligibility as members.
The Department of State and Regional Development (DSRD) approved a Science Leveraging Fund grant, which provided funding to Intersect over three years. Dr. Ian Gibson was appointed CEO and the initial goal of establishing a worldwide viable Intersect by mid-2008 was achieved.
Careers At Intersect
Intersect offers challenging work on a diverse range of projects that support leading edge research across disciplines. We are big on collaboration – sharing ideas and expertise and following the Agile Software Development methodology.
We provide a supportive environment in which you can learn and develop new skills. We work hard, but we also like to have fun!
R is a Programming Language which is widely used as free source available for Statistical computing and Graphical Data Analysis.
Advanced R Programming TrThis course is for data scientists and statisticians that already have basic R & C++ coding skills and R code and need advanced R coding skills. The purpose is to give a practical advanced R programming course to participants interested in applying the methods aining Cours...
Welcome to the fascinating and exciting world of R programming. R is an elegant programming language specifically designed for data science, analytics, and statistics. This ‘R for Beginners’ course takes you through the fundamental skills and techniques required to use R.
Businesses are accumulating data at an increasingly fast rate. This data is valuable if management can use it to support and drive more effective decision making.
This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages.
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