Installing d3r

d3r is on CRAN, so install with install.packages("d3r") or for the absolute latest use devtools.

devtools::install_github("timelyportfolio/d3r")

d3 Dependency Functions

d3r makes d3.js dependency injection in R easy with d3_dep_v3(), d3_dep_v4(), d3_dep_v5(), d3_dep_v6(), and the newest d3_dep_v7(). These functions work well with htmltools::tags.

library(htmltools)
library(d3r)

# check web developer tools to see d3 is available
browsable(
  attachDependencies(
    tagList(),
    d3_dep_v7()
  )
)

# or include directly in a taglist; I prefer this method.
browsable(
  tagList(
    h1("I have d3 version ", span(id="version")),
    tags$script("d3.select('#version').text(d3.version)"),
    d3_dep_v7()
  )
)

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 htmlwidget.

d3 Hierarchy from data.frame

Building d3.js hierarchies can be very difficult. d3r::d3_nest() will convert table and data.frame to a nested d3.js hierarchy ready for work with d3-hierarchy.

d3_nest(as.data.frame(Titanic))

As another example, let’s go from treemap to d3.js.

library(treemap)
library(d3r)

d3_nest(
  treemap::random.hierarchical.data(),
  value_cols = "x"
)

d3 Hierarchy from partykit / rpart

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 d3.js.

#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 Network from igraph

igraph to d3.js network of nodes and 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))

Todo

I have a whole lot of ideas. Please let me know yours, and let’s make this package great.

Code of Conduct

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.

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