Generating standard plots such as histograms, boxplots, and scatterplots
Before even embarking on any numerical analyses, you may want to get a good idea about the data through a few quick plots. Although the base R system supports powerful graphics, we will generally turn to other plotting options like lattice and ggplot for more advanced plots. Therefore, we cover only the simplest forms of basic graphs.
Getting ready
If you have not already done so, download the data files for this chapter and ensure that they are available in your R environment's working directory and run the following commands:
> auto <- read.csv("auto-mpg.csv") > > auto$cylinders <- factor(auto$cylinders, levels = c(3,4,5,6,8), labels = c("3cyl", "4cyl", "5cyl", "6cyl", "8cyl")) ...Get R: Recipes for Analysis, Visualization and Machine Learning now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
