LFU:online

After sucessful completion of the course, participants

-have an understanding of the infrastructure R provides for creating statistical graphics and diagrams

- are able to illustrate relations between variables

- are able to use graphics to diagnose violations of model assumptions

- know how to illustrate predictions from linear and non-linear statistical models

- understand how to construct tailor-made diagrams for their own specific purpose.

The course introduces techniques of data visualization using the open source software R. It discussed fundamental ideas of data visualization as well as basic and advanced facilities provided by R to put these ideas into practice. Topics discussed in the course are: univariate and multivariate polts using the "graphics" package: graphics for regression diagnostics; buildingblocks for tailor-made diagrams: basics of "grammar of graphics" plots (the ggplot2 package); grouping and faceting diagrams; "themes" for graphics; facilities for graphing large dta sets. Optional topics (covered if time permits) are: creating maps in R; plots and diagrams for websites and web applications.

Presentation and practical sessions

course project