The fifth course in our 8 part R-series is an introduction to data vvualisation using ggplot2.
ONLINE COURSE – Data visualization with ggplot2 using R and Rstudio (DVGG04) https://www.prstatistics.com/course/data-visualization-with-ggplot2-using-r-and-rstudio-dvgg04/ 5th - 7th December Please feel free to share! Limited early bird tickets available prioced @ £150.00 Courses are recorded to accommodate different time zones. All attendees will have access to recordings for a further 3 months after the course to revisit any of the classes. *COURSE OVERVIEW - *In this two day course, we provide a comprehensive introduction to data visualization in R using ggplot. On the first day, we begin by providing a brief overview of the general principles data visualization, and an overview of the general principles behind ggplot. We then proceed to cover the major types of plots for visualizing distributions of univariate data: histograms, density plots, barplots, and Tukey boxplots. In all of these cases, we will consider how to visualize multiple distributions simultaneously on the same plot using different colours and “facet” plots. We then turn to the visualization of bivariate data using scatterplots. Here, we will explore how to apply linear and nonlinear smoothing functions to the data, how to add marginal histograms to the scatterplot, add labels to points, and scale each point by the value of a third variable. On Day 2, we begin by covering some additional plot types that are often related but not identical to those major types covered on Day 1: frequency polygons, area plots, line plots, uncertainty plots, violin plots, and geospatial mapping. We then consider more fine grained control of the plot by changing axis scales, axis labels, axis tick points, colour palettes, and ggplot “themes”. Finally, we consider how to make plots for presentations and publications. Here, we will introduce how to insert plots into documents using RMarkdown, and also how to create labelled grids of subplots of the kind seen in many published articles. Please email oliverhoo...@prstatistics.com with any questions. -- Oliver Hooker PhD. PR statistics [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
