Introduction to R Workshop
Online via Zoom , AustraliaHave you heard of R but you’re not really sure how to get started? Then this workshop is for you!
Have you heard of R but you’re not really sure how to get started? Then this workshop is for you!
Have you wondered about the principals behind experimental design? Why are you told to take the number of samples you take? Would you like to be able to design and understand simple experiments yourself?
You’ve designed and run your experiment and collected your data. Now what? This two-day workshop covers the basic topics in experimental analysis of agronomic experiments and is intended for researchers working in the field of agronomy.
Introducing some more advanced features of R including reporting with Rmarkdown, and some powerful data manipulation and plotting packages.
Join us in this not to be missed online event and discover how you can transform the way you teach by using open educational resources.
The Biometry Hub will run an online 'Reporting Research with Rmarkdown' workshop. Read more and register now!
Would you like to be able to present data in an informative and engaging way, or to start preparing your data for statistical analysis? Do you want to understand more about how the statistics for your project are calculated or what they mean? Have you heard of R but you’re not really sure how to get started? Then this workshop is for you! Click here to learn more.
Have you wondered about the principles behind experimental design? Why are you told to take the number of samples you take? Would you like to be able to design and understand simple experiments yourself? Click here to learn more about this workshop.
This is a two-day course to be run on Friday June 14th and Monday June 17th 2024 (9:00AM – 5:00PM ACST both days). You’ve designed and run your experiment and collected your data. Now what? This workshop covers the basic topics in experimental analysis of agronomic experiments. Click here to learn more.
In this workshop, we examine what reproducible research means, and how R can enable you to easily turn your data into reports and papers. We will also cover some more advanced R skills around data manipulation and summaries. Click here to learn more.
Are you looking to publish soon? This library workshop will help you to navigate the pitfalls of engaging with predatory publishers or conference organizers. Register today!
Where will you publish your next paper? Learn news ways to maximize the impact of your research. Register today!
Boost your employability and undertake First Aid and CPR Training!
Join us at the Australian Space Discovery Centre (ASDC) for an evening that celebrates and commemorates the rich history and breadth of partnerships between South Australia and Germany across the science, industry, research and business landscape.
Save the date for AFW's yearly symposium!
Register today for this EMCR event where you can collaborate, network and find new opportunities.
Would you like to be able to present data in an informative and engaging way, or to start preparing your data for statistical analysis? Do you want to understand more about how the statistics for your project are calculated or what they mean? Have you heard of R but you’re not really sure how to get started? Then this workshop is for you! Click here to learn more.
Have you wondered about the principles behind experimental design? Why are you told to take the number of samples you take? Would you like to be able to design and understand simple experiments yourself? Click here to learn more about this workshop.
This is a two-day course to be run on Friday18 Oct and Monday 21 Oct 2024. You’ve designed and run your experiment and collected your data. Now what? This workshop covers the basic topics in experimental analysis of agronomic experiments. Click here to learn more.
In this workshop, we examine what reproducible research means, and how R can enable you to easily turn your data into reports and papers. We will also cover some more advanced R skills around data manipulation and summaries. Click here to learn more.