The first step is to create a crosstalk.SelectionHandle object at the factory function level. The SelectionHandle change event provides a value property that indicates the currently selected keys as a string array; or, value can be null to indicate that no selection is active. A SummaryWidget displays a single summary statistic that updates when the Crosstalk selection changes. Crosstalk widgets need to support highlighting/fading (or emphasizing/de-emphasizing through other means) of data points to support linked brushing, and they need to support hiding/showing to support filtering. Crosstalk will determine which data points are permitted by all of the actively filtering widgets. You can do this using the value property. Use SelectionHandle to read and write (and listen for changes to) the selection state for a Crosstalk group. Before you begin, know that not all HTML widgets are good candidates for integration with Crosstalk. Instead, it has a filteredKeys property. If you’ve read those criteria and are still with us, it’s time to modify your package to support Crosstalk! If an explicit key argument isn’t passed to SharedData, then row.names() are used if available; if not, then row numbers are used. All filter handles that belong to the same group will return the same value for filteredKeys. Crosstalk also supports using filter inputs to narrow down data sets. Ideally, each visualization should be capable of the following: In my experience so far, I’ve found 4 to be reasonably straightforward to achieve. If you created a separated SharedData object for each plot, even with the same underlying data frame, the plots would not be linked. While row numbers are not ideal because reordering or filtering the data will cause them to change, they are sufficient for simple cases where you are not using Shiny and are not doing anything special with groups (see the next section). Click and drag to brush data points in the above plots; noticed that their brushing states are linked. Author: Carson Sievert. Plotly. Though it’s far preferable to support all four of these features, it’s possible to only support 4 to create what is essentially a “listen-only” Crosstalk participant. The R binding is the R function that constructs an instance of your widget (usually it is named after your widget). The fully selection-enabled binding code is here: In your widget’s R function, modify the call to. And indeed, the same criteria that make for good primary keys in SQL databases also make for good Crosstalk keys: Keys should also be data that’s safe to share publicly, as they may end up being embedded in web page HTML (e.g., not social security numbers). While linked brushing only lets you have an active selection on one widget at a time, you can have multiple active filters and Crosstalk will combine the filters by intersection. SpatialPolygonsDataFrame). (That doesn’t mean your widget’s visualization needs to be tabular, just that the underlying data should have a by-row structure to it.). To begin, you’ll need to install the crosstalk package: devtools::install_github ("rstudio/crosstalk") Note that at the time of this writing, only a few HTML Widgets are Crosstalk-compatible. This might be useful in cases, for example, where data is subsetted. This makes it straightforward to highlight/fade or filter out arbitrary sets of points. Crosstalk, on the other hand, is highly opinionated; it is designed to operate on certain kinds of data, with certain kinds of interactivity. In other words, only data points that pass all active filters will be displayed in any of the visualizations. All that matters is that you keep your data in sync with the key vector; if you subset or reorder the data, you must do the same to the key vector. You can provide a group argument to the SharedData constructor to assign it to a specific group. Note that it doesn’t matter which handle you call filteredKeys on. The first is key, which is one of the central concepts of Crosstalk. Every SharedData instance belongs to a group. Now the more difficult part: actually implementing the linked interactions on the JavaScript side. Instead, the current design is geared toward distinct “filter controls” for input and “filtered visualizations” for output. rgl is a 3D visualization system based on OpenGL. This property doesn’t simply return the most recently set filter value in the group; rather, each filter handle maintains its own set of keys (or none) and filteredKeys returns the intersection of them all. To tell if Crosstalk is enabled for the current renderValue invocation, test one of these values for truthiness. The htmlwidgets framework itself makes minimal assumptions, so as to encourage a diverse ecosystem of widgets.
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