ggpcp {ggplot2} | R Documentation |
One way to think about a parallel coordinates plot, is as
plotting the data after it has been transformed to gain a
new variable. This function does this using
melt
.
ggpcp(data, vars = names(data), ...)
data |
data frame |
vars |
variables to include in parallel coordinates plot |
... |
other arguments passed on plot creation |
This gives us enormous flexibility as we have separated out the type of drawing (lines by tradition) and can now use any of the existing geom functions. In particular this makes it very easy to create parallel boxplots, as shown in the example.
## Not run: ggpcp(mtcars) + geom_line() ggpcp(mtcars, vars=names(mtcars[2:6])) + geom_line() ggpcp(mtcars) + geom_boxplot(aes(group=variable)) p <- ggpcp(mtcars, vars=names(mtcars[2:6])) p + geom_line() p + geom_line(aes(colour=mpg)) ## End(Not run)