Finessing a Grammer of Graphics in R

Finessing a Grammer of Graphics in R
Finessing a Grammer of Graphics in R

Principal speaker

Daniela Vasco

The recorded workshop builds on the previous one (Excellent Graphics in R), which showed how ggplot supports Tufte's principles of excellence, for visualising data. Underlying ggplot is a Grammar of Graphics, a powerful framework for drawing all kinds of graphs. However, some elements of the framework can be difficult to master, especially to produce legends or annotations, or work with different data types like dates. We examine straightforward though inelegant & limited solutions, to motivate your learning about the concepts that support more elegant & more useful options. We move towards more efficient and effective use of ggplot, whilst also better aligning with Tufte's principles of excellence in graphics. Importantly, we will introduce computational thinking to help you learn and test new ggplot functionality, whilst ensuring that graphs are reproducible.

Prerequisites: We presume you are already able to produce a histogram and scatterplot in ggplot, e.g. by attending workshops: Induction into Thinking with R; Excellent graphics in R.

Other connected workshops: Being able to produce the graphs you want is very helpful for all statistical analyses, especially intermediate to advanced techniques, such as logistic regression, GLM, multinomial regression, SEM, etc.

Intended audience: This workshop is aimed towards filling conceptual gaps not typically addressed in online tutorials in R, for advanced beginners or intermediate level users of R.

Preparation: Please install R, R studio and ggplot. To check you have adequate background please complete the homework provided 2 weeks prior.

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This session is for current Griffith University staff and students only.


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RSVP on or before Wednesday 15 May 2024 09.46 am, by email red@griffith.edu.au , or via https://events.griffith.edu.au/ZBnQ3w

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