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Date(s) - 30/04/2013
3:00 pm - 5:00 pm

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In this short course we will introduce basic plotting methods in the statistical programming language R, and demonstrate some packages that may be useful to researchers wishing to plot biological data. This will be a hands-on workshop, with exercises provided for delegates to practice what they learn.




• R’s basic plotting function – plot() – and its behaviour with different types of data


• Plots for visualising data: forest plots, boxplots, density plots, histograms


• Useful plots for genetics/biology – heatmaps, dendograms, Manhattan plots, QQ plots


• Interactive plots


• Formatting and saving plots, including publication-quality images


Some basic R knowledge is required. Delegates should be able to read in data, understand basic data structures (e.g. matrix, data frame) and select rows/columns as required. If in doubt, please refer to the notes from our previous “gentle introduction” courses, which would provide adequate preparation for this course:

A gentle introduction to R

Materials for this course:

30April_plotting_final – slides

manhattan_v1 – Mike Weale’s GWAS source code

MH_PLOTS – R code for plotting example GWAS data


Bookings are closed for this event.

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