This workshop will deal with the
selection of appropriate charts for different types of information
and with producing good-quality charts for publication using the R
statistical software package.
The topics to be covered will include:
- The range of different types of graphs available.
- How the reader perceives the elements of a graph and
interprets these as quantities. We will try one of the
experiments done to test how accurately people can interpret
different types of graphs, and discuss the results of other
- Chart junk and the perils of prettification; charts in
- Recommendations from charting gurus, William Cleveland and
Edward Tufte, and the demands of journal editors.
- Quick review of the R software package, in particular how
you can get your information into R prior to graphing.
- Basic plotting functions in R: scatterplot, histogram,
box-and-whiskers plot, strip chart, bar diagram, dot diagram,
scatterplot matrix, curves, mosaic plots.
- Customising basic functions: titles, axis labels, plotting
symbols, line width and type, colours, axes.
- Using mathematical symbols and Greek letters in titles and
- Adding elements to a basic plot: points, lines, text,
legend, loess curves, regression lines.
- Using colour in plots; colours for the colour-blind.
- 3D plots: contour plots, wireframe plots.
- Saving plots in pdf and graphics formats.
Participants are encouraged to bring their own data sets OR
results of their analysis to the
workshop and to experiment with different plotting options.
Please note that this is NOT a statistics workshop; if you want a
stats workshop come to a Boot Camp!
We will be focusing here on graphics and will not discuss data
All participants should come with a laptop computer with R and a
spreadsheet package installed.
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