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WEBINAR: Getting started with R

Freytag, Saskia

This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with R’. This webinar took place on 16 August 2021.

Data analysis skills are now central to most biological experiments. While Excel can cover some of your data analysis needs, it is not always the best choice, particularly for large and complex datasets.

R is an open-source software and programming language that enables data exploration, statistical analysis visualisation and more. While it is the tool of choice for data analysis, getting started can be a little daunting for those without a background in statistics.

In this webinar Saskia Freytag, an R user with over a decade of experience and member of the Bioconductor Community Advisory Board, will walk you through their hints and tips for getting started with R and data analysis. She’ll cover topics like R Studio and why you need it, where to get help, basic data manipulation, visualisations and extending R with libraries. The webinar will be followed by a short Q&A session

Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.

Files and materials included in this record:

  • Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.

  • Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file.

  • Getting started with R - slides (PDF): Slides used in the presentation

Materials shared elsewhere:

A recording of the webinar is available on the Australian BioCommons YouTube Channel:


Files (14.9 MB)
Name Size
Event metadata.pdf
103.4 kB Download
Getting started with R - slides.pdf
14.7 MB Download
Index of training materials.pdf
101.4 kB Download
All versions This version
Views 169169
Downloads 206206
Data volume 810.7 MB810.7 MB
Unique views 161161
Unique downloads 114114


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