R is a powerful, flexible and open-source software package for statistical data analysis and graphical data representation. In some research domains, such as bioinformatics and biostatistics, R is the most often used program for statistical analysis.
R has great features to make graphics and produce attractive figure. This workshop is intended for R users who want to take full advantage of the graphical possibilities of R and who want to improve their graphical skills in R using the traditional graphics system, plus the add-on packages lattice and ggplot2.
Day 1: 29/05/2018: Traditional graphics
High and low level plot functions
Day 2: 30/05/2018: Trellis plots using lattice
The trellis formula
Manipulating the panel function
Day 3: 31/05/2018: ggplot2
Building a plot layer by layer
Multiple plots on same page
We start the day at 10.00, and end at 16.00.
Dates and times:
This is a three-days interuniversity FLAMES workshop on Graphics in R on the following days:
May 29, 2018: 10h00 - 16h00
May 30, 2018: 10h00 - 16h00
May 31, 2018: 10h00 - 16h00
K.L. Ledeganckstraat 35
At the end of this module, participants should be able to make high-quality graphs and figure in R using traditional graphics, lattice, and ggplot2.
The course notes will be made available online through dropbox link, which will be mailed shortly before the course. No hardcopies are provided on-site.
Erik Fransen obtained a PhD in Biochemistry at the University of Antwerp in 1998. After a few years of lab work, he started additional studies in biostatistics, resulting in a Master degree in Statistical Data Analysis at the UGent (2007). Through his research at the Center for Medical Genetics, Erik has experience with a wide range of statistical techniques for data analysis. To-date, he has a part-time (20%) position at the faculty of Farmaceutical, Biomedical and Veterinary Sciences at the University of Antwerp. As a consultant for StatUa, he is involved in the analysis of data from various projects in the life sciences.
An Carbonez is professor at the Leuven Statistics Research Centre (Lstat) of the KULeuven. She obtained her PhD in Science at the KULeuven in 1992. She is coordinator of the MSc in Statistics, is involved in statistical consulting projects and teaches statistics courses at KULeuven and in companies.
“Introductory Statistics with R” by Peter Dalgaard. (Springer, New York, USA ; ISBN : 0-387-95475-9)
“Statistics. An introduction using R” by Michael J. Crawley (Wiley, Chichester, UK ; ISBN : 0-470-02298-1)
“R Graphics” by Paul Murrell (Chapman & Hall, Boca Raton, USA ; ISBN : 1-58488-486-X)
“Data manipulation with R” by Phil Spector (Springer, New York, USA ; ISBN : 978-0-387-74730-9)
“Modern Applied Statistics with S” by WN Vennables ans BD Ripley (Springer, New York, USA ; ISBN 0-387-95457-0)
“ggplot2, Elegant graphics for data analysis” by Hadley Wickham (Springer, New York, USA ; ISBN : 978-0-387-98141-3)