Advanced Graphics using R
Much has been made about R's publication-quality graphics, but how do you move on from simple plots to advanced ones that capture the reader's attention and illustrate your objectives appropriately? This course seeks to move your thinking from traditional understanding of graphics (based on graphics you know about - histograms, boxplots, scatterplots) to creating the ideal graphic to meet your objectives. It will use standard R graphics as well as those from the ggplot2 and lattice packages.
Who Should Attend?
Any R users who need to present their data graphically will benefit from this course. You should be familiar with basic statistical concepts such as regression and simple analysis of variance. A rudimentary knowledge of R will be assumed including the ability to produce graphics such as a histogram with a title and axis labels.
How You Will Benefit
You will learn how to customise graphics in R, how to overlay various graphics, how to integrate statistical analyses in graphics and how to use more complex graphing packages. Hands-on computer practicals will ensure ample opportunity to practise coding graphics, using both the standard R graphics and the specialised packages.
What Do We Cover?
This course has practical exercises written for: R
Note: For practical work participants must bring their own laptop with a fully licensed version of the software.
Related Courses: Statistical Modelling and Graphics using R