Take a look at the ggpackets project page!
Easily build components of ggplots without sacrificing the ease of ggplot's layer parameters and construction syntax.
install.packages("ggpackets")
or install the development version
devtools::install_github("dgkf/ggpackets", build_vignettes = TRUE)
There are plenty of ways to help contribute:
File issues!
Found a bug? Think the syntax looks ugly? Don't like the name? Tell me!
Issues are the best way to start
the conversation.
Write documentation!
More resources always helps. Found a function unintuitive? Example code and
improved function descriptors would be helpful. If you use the package and
would feel comfortable writing about a topic not yet covered in a vignette,
feel free to contribute a new vignette for it.
Write Unit Tests!
There's some pretty sophisticated manipulations going on under the hood to
make everything as clean as possible, because of that it's important to make
sure everything stays working the way we expect it to. Unit test
contributions always welcome!
Contribute Code!
Last but not least, code contributors are welcome. Reach out and get in
touch if you're passionate about the goal of the project.
Define common ggplot layer sets together into a singled object. Connect all your plots with a single plot component definition and debug one central location. Build beautiful templates and save them once, reuse them easily and without having to abandon the ggplot construction framework.
knitr::opts_chunk$set( echo = TRUE, fig.align='center', fig.width = 6, fig.height = 4, out.width = '600px', out.height = '400px') library(ggplot2) library(ggpackets)
ggpk_box_and_scatter <- ggpacket() + geom_point(position = position_jitter(width = 0.4), alpha = 0.02) + geom_boxplot(outlier.shape = NA, fill = NA, color = 'black') + geom_text(stat = 'summary', vjust = -1, fun.data = function(d) c( y = quantile(d, 0.75, names = F) + 1.5 * IQR(d), label = length(d) )) + theme_linedraw() + scale_color_distiller(palette = "Set1")
Now we can use that template repeatedly with a much simpler ggplot call
ggplot(diamonds, aes(x = cut, y = price, color = carat)) + ggpk_box_and_scatter() + ggtitle('Diamond price distribution by cut')
In addition to simply wrapping multiple ggplot2
layers, ggpackets
can
streamline a number of complicated plotting scenarios such as passing arguments
to sets of layers, setting default argument values with scoped overrides,
routing aesthetic mappings to be reused within specific layers for other
aesthetics and scoping data usage over a set of layers.
ggpk_labelled_heatmap <- function(...) { ggpacket(...) %+% geom_tile(.id = 'tile', color = NA, ...) %+% geom_text(.id = c("text", "text1"), color = "black", vjust = -0.3, fontface = "bold", ...) %+% geom_text(.id = c("text", "text2"), aes(label = sprintf("(%.1f)", ..fill..)), color = "black", vjust = 1.1, ...) %+% theme_void() }
In this function we make use of a number of these specialized behaviors.
.id
parameters are set to tag specific layers with an identifier, which
can be used to prefix arguments to route them to a subset of the ggpacket
layers. Multiple IDs can be used, and arguments will filter down into that
layer if they match any of the provided IDs. ggpacket(...)
, which will pass them on as
default values to all ggpacket
layers...<aesthetic>..
syntax.%+%
instead of the commonly-used +
to add layers together, which
allows ggpackets
to accept non-standard arguments before ggplot sends us
warnings about them.ggplot(as.data.frame(OrchardSprays)) + aes(x = rowpos, y = colpos, label = treatment, fill = decrease) + ggpk_labelled_heatmap(text.color = "white", text2.alpha = 0.5) + ggtitle('Honeybee population decline in repellent trial grid')
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