Helper functions for using 'd3.js' in R.
I tried to explain the purpose of
d3r in this Building Widgets blog post Why d3r?.
d3r is not on CRAN, so install with
d3.js dependency injection in R easy with two functions
d3_dep_v4(). These functions work well with
library(htmltools) library(d3r) # check web developer tools to see d3 is available browsable( attachDependencies( tagList(), d3_dep_v4() ) )
Also, I will commit to keeping
d3r up-to-date with
d3.js, so you'll no longer need multiple copies of
d3.js for your
htmlwidgets. If you are a
htmlwidget author, you will no longer need to worry every time
d3.js gets a new release. See
treebar lines for an example of using
d3r with your
d3.js hierarchies can be very difficult.
d3r::d3_nest() will convert
data.frame to a nested
d3.js hierarchy ready for work with the
As another example, let's go from
library(treemap) library(d3r) d3_nest( treemap::random.hierarchical.data(), value_cols = "x" )
rpart and similar objects in
R are very difficult to convert but make perfect subjects for
d3 hierarchical layouts.
d3_party helps convert these objects for easy usage with
#devtools::install_github("timelyportfolio/d3treeR") library(d3treeR) library(d3r) # example from ?rpart data("kyphosis", package="rpart") rp <- rpart::rpart( Kyphosis ~ Age + Number + Start, data = kyphosis ) # get the json hierarchy d3_party(tree=rp) # interactive plot with d3treeR d3tree2( d3_party(tree=rp), celltext="description", valueField="n" )
d3.js network of
links is a very common conversion.
d3r::d3_igraph will do this for you.
library(igraph) library(d3r) d3_igraph(igraph::watts.strogatz.game(1, 50, 4, 0.05))
I have a whole lot of ideas. Please let me know yours, and let's make this package great.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.
colname to return value (see commit)
NA child promotion for deeply nested hierarchies