rcharts

Does any of the packaged charting frameworks in rCharts support making a time series plot of two series with different y axis? In the case has anyone an example to share? I have looked at the documentation there is as well as on the charting frameworks web sites but have not found anything. This can be done in highcharts and most likely others. I have taken the nice work done here . A simplified version of that is: library(rCharts) h <- Highcharts$new() h$xAxis(categories = c('Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec')) h$yAxis(list(list(title = list

I am using the great demo by Ramnath Vaidyanathan at http://rmaps.github.io/blog/posts/leaflet-heat-maps/index.html and I would like to reproduce his heat map for my shiny application. When I try to use Ramnath's code in shiny though I only manage to get the map out, but not the heat map. Possibly part of the reason of my problems is that the original code from Ramnath uses rMaps while I'm using rCharts (also developed by Ramnath) as it is more developed / better integrated with shiny and of course includes Leaflet. I tried to use rMaps with shiny's HTML generic commands renderUI and

I've been playing with rCharts and nvd3 for a bit of time now. Now I'm in a situation where I need a bubble chart, or at least a scatterplot where the size of the dots is dependent on a variable in the data. From this example , it seems possible. The example on scatter charts in rCharts is: library(rCharts) p1 <- nPlot(mpg ~ wt, group = 'cyl', data = mtcars, type = 'scatterChart') p1$xAxis(axisLabel = 'Weight') p1 So I've tried setting size to, for example gears . But it doesn't change anything. p2 <- nPlot(mpg ~ wt, group = 'cyl', size = 'gear', data = mtcars, type = 'scatterChart') p2$xAxis

I have some charts created with ggplot2 which I would like to embed in a web application: I'd like to enhance the plots with tooltips. I've looked into several options. I'm currently experimenting with the rCharts library and, among others, dimple plots. Here is the original ggplot: Here is a first attempt to transpose this to a dimple plot: I have several issues: after formatting the y-axis with percentages, the data is altered. after formatting the x-axis to correctly render dates, too many labels are printed. I am not tied to dimple charts, so if there are other options that allow for an

I have a shiny application consisting of three files. server.R, ui.R and the file to launch the application with require(shiny) require(rCharts) runApp("shinyApp") The application starts, but the plot is not visible. It works with a normal r-plot and with polycharts, but after trying a lot, I still have no success with rCharts (which includes rHighcharts). This is the files of the last try: server.R: library(rCharts) shinyServer(function(input, output) { output$myChart <- renderChart({ h1 <- Highcharts$new() h1$chart(type = "spline") h1$series(data = c(1, 3, 2, 4, 5), dashStyle = "longdash")

How can I overwrite the output display options with running multiple charts with shiny and rchart so the output result is a 2x2 matrix type grid layout. require(rCharts) require(shiny) require(data.table) runApp(list( ui = mainPanel( span="span6", showOutput("chart2", "Highcharts"), showOutput("chart3", "Highcharts"), showOutput("chart4", "Highcharts") ), server = function(input, output){ output$chart3 <- renderChart({ a <- hPlot(Pulse ~ Height, data = MASS::survey, type = "bubble", title = "Zoom demo", subtitle = "bubble chart", size = "Age", group = "Exer") a$chart(zoomType = "xy") a$chart