Nowhere near as spectacular as the Upshot/New York Times 3d yield curve by Amanda Cox and Gregor Aisch, but not bad at all for a couple of lines of R code with the plotly htmlwidget.
library(plotly)
library(dplyr)
library(tidyr)
library(purrr)
library(quantmod)
library(magrittr)
StackOverflow question
Using the barley.json example from the vega package, I wanted to try to add plots with x as
Please do not replicate, since I'm guessing I'm performing this ugly hack instead of the more elegant preferred method that I have overlooked. New projects are like puzzles, and I'm still a long way from completing this one.
The Leaflet JS mapping library has lots of plugins available. The Leaflet package for R provides direct support for some, but far from all, of these plugins, by providing R functions for invoking the plugins.
If you as an R user find yourself wanting to use a Leaflet plugin that isn't directly supported in the R package, you can use the technique shown here to load the plugin yourself and invoke it using JS code.
Built with blockbuilder.org
It seems that working with d3.js hierarchies in R causes much consternation. Here is a quick little demonstration of working with the flare.json hierarchy often used in d3, processing, and Protovis. data.tree eases the pain considerably. I also include the purrr code for those interested in this library and/or some hierarchy recursion in R.
# work through d3 hierarchies in R
# using data.tree and dplyr
# on the commmonly used flare.json
| library(rhandsontable) | |
| library(htmltools) | |
| browsable(tagList( | |
| rhandsontable( | |
| data = mtcars, | |
| rowHeaders = NULL, | |
| # see http://jsfiddle.net/pn3rv48p/ for another example with afterGetColHeader | |
| afterGetColHeader = htmlwidgets::JS(htmltools::HTML( | |
| sprintf( |
| license: mit |
| license: mit |
| --- | |
| title: "Example of filtered values boxes" | |
| output: | |
| flexdashboard::flex_dashboard: | |
| orientation: rows | |
| vertical_layout: fill | |
| mathjax: null | |
| --- | |
| ```{r setup, include=FALSE} |
arules with arulesViz and visNetworkIn response to visNetwork issue #6, here is some code to demonstrate how we might interactively visualize an arules object in R using the new htmlwidget visNetwork. Fortunately, arulesViz has already done a lot of the plumbing for us.
# visNetwork view of arules
library(arules)
library(arulesViz)
library(visNetwork)