R package that provides a set of functions to enhance your ggplots with eye-pleasing tooltips easily, and render them in your Shiny apps.
To install ggtips, use devtools:
devtools::install_github("Roche/ggtips")
The main function - renderWithTooltips() - works similar to Shiny's renderUI().
To use it in your app, define an uiOutput element in the UI section (this will
be the container for your plot), and substitute renderPlot() in your server logic
with renderWithTooltips(), providing a list of variables you want to see in the tooltips:
output[["myPlot"]] <- renderWithTooltips(
plot = ggplot(iris, aes(x = Sepal.Width, y = Sepal.Length)) + geom_point(aes(colour = Species)),
varDict = list(Sepal.Width = "Width", Sepal.Length = "Length", Species = "Species")
)renderWithTooltips function accepts also optional customGrob parameter. It
allows to pass modified grob object and as a result output tooltips coordinates
will fits its geometries. This is useful if you want to add any extra geometry
to your plot, e.g. bar with information or warning.
If you want to save svg (e.g. you're using cache'ing) use longer code:
cache <- list() ## instead of list you can save data in data base like mongoDB
output[["myPlot"]] <- renderUI({
## generate hash for this plot
## https://stackoverflow.com/q/24192570/387194
hash <- generateHash(plot)
if (is.null(cache[[hash]]) {
res <- ggtips::getSvgAndTooltipdata(
plot = plot,
varDict = varDict
)
cache[[hash]] <- res
} else {
res <- cache[[hash]]
}
ggtips::htmlWithGivenTooltips(
svg = res$svg,
data = res$data,
height = height
)
})output[["myPlot"]] <- renderUI({
plot = ggplot(iris, aes(x = Sepal.Width, y = Sepal.Length)) + geom_point(aes(colour = Species))
varDict = list(Sepal.Width = "Width", Sepal.Length = "Length", Species = "Species")
ggtips::plotWithTooltips(plot, varDict = varDict)
})plotWithTooltips function accept same parameters as renderWithTooltips.
- plot - ggplot object
- varDict - list of data to render on the tooltip that will be extracted from ggplot (keys are read data names and values are labels on tooltips)
- customGrob - original grob object that can have grob manipulation
- callback - function that can be used, to put additional data into tooltip, it should return string
- width/height - number
- point.size - size of the points
See our demo application (type ggtips::demo()) for example usage.
Optionally you can also build a Dockerized version of the demo:
sudo docker build -t ggtips -f inst/Dockerfile .
After building the docker image (which can take a while) use the command:
docker run -p 3838:3838 ggtips
The docker image starts in interactive mode (which means you can use ctrl+c to stop it) and exposes the web browser at port 3838.
Depending on your Docker setup, the exposed application may be available under:
or may be exposed through the locally running docker-machine, which is the typical case with the Windows operating system that have no Hyper-V enabled. You can find more information about it on Hyper-V on Windows.
If your Docker setup is using docker-machine, you can find it's IP using
command docker-machine ip, then use the http://{docker machine IP}:3838
address to connect to demo session.
See Docker setup tutorial to learn more about configuring Docker and Docker Machine Documentation to learn about docker-machine itself.
- The library uses jQuery.resize by Jakub T. Jankiewicz.
- Logo designed by Jakub T. Jankiewicz.