Methods course for the adaptation of classical R-graphs
Are you dissatisfied with the default design of basic R graphics and want to know how to design them better? This course will cover methods for customizing classical R graphs. In addition, there will be an introduction to ggplot2, an advanced and powerful tool for creating graphs with R. Here you will learn how to create refined, meaningful graphs in R to visually describe your research results. The course is at an intermediate level. Therefore, prior knowledge of R is assumed, especially loading and subsetting of data sets.
Content
Modifying base R graphics
This includes font modification, customization of axes and legends, specifying color schemes, adding multiple layers to one graphic and arranging multiple figures to one graphic (layout).
Introduction to ggplot2
The R package ggplot2 provides a different “grammar” of building figures with R. It is convenient for complex self-contained figures. The course covers the basic principles of using ggplot2. Further adjustments on the axis, titles, legends, color scheme and layout will be discussed.
The course provides the necessary theoretical background to use R, hands-on examples with best-practice solutions, and practical exercises.
The course is sponsored by Helmholtz Information & Data Science Academy (HIDA) - in cooperation with Core Facility Statistical Consulting at Helmholtz Zentrum München - German Research Center for Environmental Health (HMGU)
