(This vignette is still in a draft).
ggplot2 provides a comprehensive collection of functions to draw a variety of informative plots.
library(ggplot2)
ggplot(mtcars) + geom_point(aes(x=hp, y=wt, colour=factor(cyl)))
However, when finalizing plots for presentation (e.g. rotating labels, changing font sizes, or changing font families), ggplot2 needs long specifications of those appearance elements:
ggplot(mtcars) + geom_point(aes(x=hp, y=wt, colour=factor(cyl)) + labs(title = "Motor Cars Road Test") + theme(plot.title = element_text(face = "bold"), axis.text = element_text(face = "bold", size = 18), axis.title.y = element_text(angle = 0), plot.background = element_rect(fill="white"))
ggconf provides shorter and more flexible interface for modifying appearance elements:
ggplot(mtcars) + geom_point(aes(x=hp, y=wt, colour=factor(cyl)) + labs(title = "Motor Cars Road Test") + theme(plot.title(face = "bold"), axis.text(face = "bold", size = 18), axis.title.y(angle = 0), plot.bg(fill="white"))
Some people likes to write everything in a line. ggconf provides such a flexibility through ambiguous match capability:
ggplot(mtcars) + geom_point(aes(x=hp, y=wt, colour=factor(cyl)) + labs(title = "Motor Cars Road Test") + theme(plt.ttl(f="bold"), a.txt(f="bold", z=18), a.ttl.y(angl=0), plt.bg(fl="white"))
One interesting thing about ggconf is the above functions are not actually functions:
# plot.title() is not defined plot.title Error: no such object 'plot.title'
The plot.title()
function used above is undefined in R global environment.
In fact, the above call are not a function, but just a sequence of symbols for compiling into a corresponding ggplot2 call.
If you define ggconf_debug
, you could see verbose debugging message when calling theme2().
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