January 2010
Beginner
634 pages
19h 50m
English
Content preview from R in a Nutshell
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An Overview of R Graphics
R includes tools for drawing most common types of
charts, including bar charts, pie charts, line charts, and scatter
plots. Additionally, R can also draw some less familiar charts like
quantile-quantile (Q-Q) plots, mosaic plots, and contour plots. The
following table shows many of the charts included in the graphics package.
| Graphics package function | Description |
|---|---|
| barplot | Bar and column charts |
| dotchart | Cleveland dot plots |
| hist | Histograms |
| density | Kernel density plots |
| stripchart | Strip charts |
| qqnorm (in stats package) | Quantile-quantile plots |
| xplot | Scatter plots |
| smoothScatter | Smooth scatter plots |
| qqplot (in stats package) | Quantile-quantile plots |
| pairs | Scatter plot matrices |
| image | Image plots |
| contour | Contour plots |
| persp | Perspective charts of three-dimensional data |
| interaction.plot | Summary of the response for two-way combinations of factors |
| sunflowerplot | Sunflower plots |
You can show R graphics on the screen or save them in many different formats. Graphics Devices explains how to choose output methods. R gives you an enormous amount of control over graphics. You can control almost every aspect of a chart. Customizing Charts explains how to tweak the output of R to look the way you want. This section shows how to use many common types of R charts.
Scatter Plots
To show how to use scatter plots, we will look at cases of cancer in 2008 and toxic waste releases by state in 2006. Data on new cancer cases (and deaths from cancer) are tabulated by the American Cancer Society; information on toxic chemicals ...
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