R is an interactive environment for data analysis and statistical modelling.
Join us for two insightful workshops for general R users, presented by
Nick Tierney and Damjan Vukcevic
About the workshops:
When performing data analysis, you typically need to share your insights with others. In our morning workshop, you will learn how to share and communicate your findings with yourself and others using R Markdown. As you go further on your journey with R, you will write functions that you use to perform common tasks. In the afternoon workshop, you will learn how put these together into an R package, which makes them easier to use and very easy to share.
R Markdown (morning session, 9:30am to 12:30pm
Presented by Nick Tierney
For a scientific report to be completely credible, it must be reproducible. The full computational environment used to derive the results, including the data and code used for statistical analysis should be available for others to reproduce.
R Markdown is a tool that allows you integrate your code, text and figures in a single file in order to make high quality, reproducible reports. A paper published with an included R Markdown file and data sets can be reproduced by anyone with a computer.
After completing this course, you will know how to:
- Create your own R Markdown document
- Create figures and tables that you can reference in text, and update with - your data
- Export your R Markdown document to PDF, HTML, and Microsoft Word
- Use keyboard shortcuts to improve workflow
- Cite research articles and generate a bibliography
We may, depending on time, also cover the following areas:
- Change the size and type of your figures
- Create captions for your figures, and reference them in text
- Cite research articles and generate a bibliography
- Debug and handle common errors
Building R packages (afternoon session, 1:30pm to 5pm) Presented by: Damjan Vukcevic
You have developed a new statistical method. Now it is time to share it with the world.
The methods that actually get used in practice are those with readily available and user-friendly implementations. Writing and disseminating software is therefore a key skill for modern statisticians, one that is generally not taught widely. This course aims to fill the gap.
The R software environment is widely used for statistical analyses. One of its distinguishing features is the extensive range of R ‘packages’, which anyone can write and share via the internet. This used to be an intimidating process but modern tools have made it simple.
We begin our course with how to write a very basic package, and then show how to include documentation, examples and data. Further topics include: an efficient development workflow, managing relationships between packages, sharing your packages with others, and easy ways to manage packages (finding, installing, upgrading).
Prerequisites: Basic R skills
Fees
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Morning Session
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Afternoon session
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Full day
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SSA members
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$90
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$90
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$150
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SSA non-members
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$240
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$240
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$400
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SSA student members
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$50*
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$50*
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$80*
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SSA non-member students/RLadies
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$70*
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$70*
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$100*
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*Student membership is available for $20. Click here for more information.
Morning or afternoon tea respectively is included in the fees.
Registrations close on 30 June 2019.
Would you please note that delegates are required to bring their own laptop loaded with R?
Workshop Venue:
Australian National University, Lecture Theatre 3, CBE Building 26C
Travel Expenses
Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.
Cancellation Policy
Cancellations received prior to Wednesday, 26 June 2019 will be refunded, minus a $20 administration fee. From then onwards no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au.
@StatSocAus
