Xenhtml Widgets

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Overview | Creating your own widgets

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Overview | Creating your own widgets

Xenhtml Widget

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The htmlwidgets package provides a framework for creating R bindings to JavaScript libraries. HTML Widgets may also be:

Used at the R console for knowledge analysis just like typical R plots. Embedded within R Markdown documents Incorporated into Shiny internet packages. Saved as standalone internet pages for ad-hoc sharing by the use of e-mail, Dropbox, and so forth.

By following a small set of easy-to-follow conventions, it's conceivable to create HTML widgets with little or no code. All widgets include the following elements:

Dependencies. These are the JavaScript and CSS belongings utilized by the widget (e.g. the library you are making a wrapper for).

R binding. This is the serve as that finish customers will call to supply input information to the widget as well as specify more than a few choices for a way the widget will have to render. This also comprises some brief boilerplate functions required to use the widget inside Shiny applications.

JavaScript binding. This is the JavaScript code that glues the whole thing in combination, passing the data and choices collected in the R binding to the underlying JavaScript library.

HTML widgets are all the time hosted within an R bundle and will have to include all the source code for his or her dependencies. This is to ensure that code which is determined by widgets is totally reproducible (i.e. does not require an web connection or the ongoing availability of an internet carrier to run).

Example (sigma.js)

To start with we will stroll during the introduction of a easy widget that wraps the sigma.js graph visualization library. When we're carried out we're going to have the ability to use it to show interactive visualizations of GEXF (Graph Exchange XML Format) knowledge files. For example:

library(sigma) information <- device.file("examples/ediaspora.gexf.xml", package deal = "sigma") sigma(information)

Note that the above is just a picture of the visualization so it is not interactive. You can play with the interactive model via following the stairs within the demo section under.

There is remarkably little code required to create this binding. Below we'll undergo the entire components step by step. Then we're going to describe how you can create your individual widgets (including routinely generating elementary scaffolding for the entire core parts).

File format

Let's assume that our widget is called sigma and is located inside of an R package of the similar name. Our JavaScript binding supply code document is named sigma.js. Since our widget will read GEXF information recordsdata we will also wish to include both the bottom sigma.min.js library as well as its GEXF plugin. Here are the recordsdata that we'll add to the package:

R/ | sigma.R inst/ |-- htmlwidgets/ | |-- sigma.js | |-- sigma.yaml | |-- lib/ | | |-- sigma-1.0.3/ | | | |-- sigma.min.js | | | |-- plugins/ | | | | |-- sigma.parsers.gexf.min.js

Note the conference that the JavaScript, YAML, and other dependencies are all contained within the inst/htmlwidgets directory (which will therefore be put in right into a package sub-directory named htmlwidgets).


Dependencies are the JavaScript and CSS belongings used by a widget. Dependencies are incorporated throughout the inst/htmlwidgets/lib listing. Dependencies are specified using a YAML configuration report which makes use of the identify of the widget as its base report identify. Here's what our sigma.yaml document looks like:

dependencies: - title: sigma version: 1.0.3 src: htmlwidgets/lib/sigma-1.0.3 script: - sigma.min.js - plugins/sigma.parsers.gexf.min.js

The dependency src specification refers back to the listing that incorporates the library and script refers to express JavaScript files. If your library comprises multiple JavaScript recordsdata specify each one on a line starting with - as shown here. You can also upload stylesheet entries or even meta or head entries. Multiple dependencies could also be laid out in one YAML document. See the documentation at the htmlDependency function within the htmltools package for added main points.

R binding

We need to provide users with an R serve as that invokes our widget. Typically this function will settle for input information as well as more than a few choices that keep an eye on the widget's show. Here's the R function for sigma:

#' @import htmlwidgets #' @export sigma <- function(gexf, drawEdges = TRUE, drawNodes = TRUE, width = NULL, top = NULL) # read the gexf record data <- paste(readLines(gexf), collapse="\n") # create a list that contains the settings settings <- listing( drawEdges = drawEdges, drawNodes = drawNodes ) # pass the information and settings the usage of 'x' x <- listing( data = data, settings = settings ) # create the widget htmlwidgets::createWidget("sigma", x, width = width, height = top)

The serve as takes two classes of enter: the GEXF information file to render and a few further settings which keep an eye on how it is rendered. This input is accumulated into a list named x which is then handed directly to the htmlwidgets::createWidget function. This x variable will subsequently be made to be had to the JavaScript binding for sigma (this is described under). Any width or height parameter specified may be forwarded to the widget (widgets dimension themselves mechanically by default so usually do not require an explicit width or top).

We need our sigma widget to additionally paintings in Shiny programs, so we add the next boilerplate Shiny output and render purposes (these are at all times the same for all widgets):

#' @export sigmaOutput <- function(outputId, width = "100%", height = "400px") htmlwidgets::glossyWidgetOutput(outputId, "sigma", width, top, bundle = "sigma") #' @export renderSigma <- function(expr, env = dad or mum.body(), quoted = FALSE) if (!quoted) expr <- substitute(expr) # pressure quoted htmlwidgets::shinyRenderWidget(expr, sigmaOutput, env, quoted = TRUE) JavaScript binding

Note: An older, much less intuitive JavaScript binding API used to be used in htmlwidgets 0.5.2 and earlier, and continues to be supported in more recent variations of htmlwidgets. See this archived model for details on the legacy binding API. New widgets are encouraged to use the newer API described beneath.

The 3rd piece within the puzzle is the JavaScript required to turn on the widget. By convention we're going to define our JavaScript binding in the file inst/htmlwidgets/sigma.js. Here is the whole supply code of the binding:

HTMLWidgets.widget( name: "sigma", type: "output", factory: serve as(el, width, peak) // create our sigma object and bind it to the component var sig = new sigma(el.identity); go back renderValue: function(x) // parse gexf knowledge var parser = new DOMParser(); var information = parser.parseFromString(x.information, "application/xml"); // apply settings for (var identify in x.settings) sig.settings(name, x.settings[name]); // replace the sigma object sigma.parsers.gexf( information, // parsed gexf data sig, // sigma object function() // wish to name refresh to reflect new settings and knowledge sig.refresh(); ); , resize: function(width, height) // forward resize directly to sigma renderers for (var title in sig.renderers) sig.renderers[title].resize(width, top); , // Make the sigma object to be had as a assets on the widget // example we're returning from factory(). This is most often a // good thought for extensibility--it helps users of this widget // engage at once with sigma, if wanted. s: sig ; );

We provide a reputation and sort for the widget, plus a manufacturing facility serve as that takes el (the HTML element that will host this widget), width, and height (width and peak of the HTML component, in pixels–you can all the time use offsetWidth and offsetHeight for this).

The factory serve as must get ready the HTML part to begin receiving values. In this example we create a brand new sigma element and cross it the id of the DOM part that hosts the widget on the page.

We're going to want get admission to to the sigma object later (to replace its knowledge and settings) so we reserve it as a variable sig. Note that variables declared without delay inside of the factory serve as are tied to a particular widget instance/el.

The return price of the manufacturing facility function is named a widget example object. It is a bridge between the htmlwidgets runtime, and the JavaScript visualization that you are wrapping. As the name implies, each widget instance object is answerable for managing a unmarried widget instance on a web page.

The widget instance object you create must have one required manner, and will have one non-compulsory manner:

The required renderValue manner actually pours our dynamic information and settings into the widget's DOM part. The x parameter accommodates the widget knowledge and settings. We parse and replace the GEXF knowledge, follow the settings to our previously-created sig sigma object, and finally name refresh to reflect the new values on-screen. This way could also be referred to as again and again with other knowledge (i.e. in Shiny), so be sure you account for that risk. If it is smart for your widget, consider making your visualization transition smoothly from one price of x to any other.

The optional resize approach is called each time the part containing the widget is resized. The best explanation why not to put into effect this method is that if your widget naturally scales (with out further JavaScript code needing to be invoked) when its element measurement adjustments. In the case of sigma.js, we ahead the sizing knowledge on to each of the underlying sigma renderers.

All JavaScript libraries deal with initialization, binding to DOM parts, dynamically updating information, and resizing somewhat in a different way. Most of the paintings on the JavaScript aspect of constructing widgets is mapping these 3 purposes—manufacturing unit, renderValue, and resize—accurately onto the conduct of the underlying library.

The sigma.js instance makes use of a simple object literal to create its widget example object, however you'll be able to also use magnificence primarily based items or another taste of object, as long as obj.renderValue(x) and obj.resize(width, top) may also be invoked on it.

You can upload further strategies and properties on the widget example object. Although they may not be called through htmlwidgets itself, they may well be useful to customers of your widget that know some JavaScript and need to additional customise your widget by way of including custom JS code (e.g. using the htmlwidgets::onRender R function). In this example we add an s belongings to make the sigma object itself available.


Our widget is now whole! If you wish to have to check force it with out reproducing all the code in the neighborhood you'll be able to set up it from GitHub as follows:


Here's the code to try it out with some sample knowledge incorporated with the package:

library(sigma) sigma(system.record("examples/ediaspora.gexf.xml", package = "sigma"))

If you execute this code within the R console you'll be able to see the widget displayed within the RStudio Viewer (or in an external browser in case you don't seem to be working RStudio). If you come with it inside an R Markdown file the widget might be embedded into the record.

We too can use the widget in a Shiny software:

library(shiny) library(sigma) gexf <- system.document("examples/ediaspora.gexf.xml", package = "sigma") ui = shinyUI(fluidPage( checkboxInput("drawEdges", "Draw Edges", value = TRUE), checkboxInput("drawNodes", "Draw Nodes", price = TRUE), sigmaOutput('sigma') )) server = serve as(input, output) output$sigma <- renderSigma( sigma(gexf, drawEdges = enter$drawEdges, drawNodes = input$drawNodes) ) shinyApp(ui = ui, server = server)

Creating your personal widgets


To put in force a widget you need to create a brand new R bundle that during flip depends upon the htmlwidgets package deal. You can install the package from CRAN as follows:

set up.packages("htmlwidgets")

While it's not strictly required, the step by step instructions below for buying began also employ the devtools package deal which you'll additionally install from CRAN:

install.programs("devtools") Scaffolding

To create a new widget you can name the scaffoldWidget serve as to generate the basic construction for your widget. This serve as will:

Create the .R, .js, and .yaml files required on your widget;

If supplied, take a Bower package identify and mechanically obtain the JavaScript library (and its dependencies) and add the required entries to the .yaml record.

This method is extremely really useful as it guarantees that you get started with the appropriate file structure. Here's an instance that assumes you need to create a widget named 'mywidget' in a brand new package of the similar identify:

devtools::create("mywidget") # create bundle the usage of devtools htmlwidgets::scaffoldWidget("mywidget") # create widget scaffolding devtools::document() # roxygenize, so NAMESPACE is up to date devtools::install() # set up the package deal so we can take a look at it

This creates a easy widget that takes a unmarried text argument and presentations that text throughout the widgets HTML component. You can take a look at it like this:

library(mywidget) mywidget("hello, world")

This is essentially the most minimal widget imaginable and does not but come with a JavaScript library to interface to (be aware that scaffoldWidget can optionally include JavaScript library dependencies by means of the bowerPkg argument). Before getting began with construction you must review the introductory instance above to make sure you perceive the more than a few parts and in addition evaluation the additional articles and examples linked to within the next phase.

Learning more Additional articles

There are additional articles that quilt more complicated ground:

HTML Widget Sizing explains custom sizing insurance policies and when you may need to use them and describes imposing a resize means inside of JavaScript bindings.

HTML Widgets: Advanced Topics describes framework features that toughen per-widget instance data, information transformations (e.g. changing a data body into a d3 dataset), and providing widget choices which are are living JavaScript objects (e.g. serve as definitions).

The Sizing article is especially essential as most JavaScript libraries require some additional interplay to stay their size synchronized with their containing element.


Studying the code of alternative programs is a good way to be told more about growing widgets:

The networkD3 bundle illustrates making a widget on best of D3, using a custom sizing policy for a larger widget, and providing more than one widgets from a unmarried bundle.

The dygraphs package illustrates the use of widget example knowledge, dealing with dynamic re-sizing, and the use of magrittr to decompose a big and flat JavaScript API right into a extra modular and pipeable R API.

The sparkline package deal illustrates providing a customized HTML generation serve as (since sparklines will have to be housed in <span> quite than <div> parts).

Questions and issues

If you may have questions on growing widgets or run into problems all over construction please don't hesitate to post a subject matter on the project's GitHub repository.

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