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copied!<p>You have to specify which library need to import depending on which kind of plot you are using. </p> <p>Here is a <a href="https://github.com/ramnathv/rCharts/tree/master/inst/libraries" rel="noreferrer">list</a> of all the available libraries from the description of rCharts package. </p> <pre><code>datatables dimple highcharts leaflet morris nvd3 polycharts rickshaw vega xcharts </code></pre> <p>Here is the demo code on rcharts website and I modified it to plot hplot.</p> <p>ui.R</p> <pre><code>require(rCharts) shinyUI(pageWithSidebar( headerPanel("rCharts: Interactive Charts from R using highcharts"), sidebarPanel( selectInput(inputId = "x", label = "Choose X", choices = c('SepalLength', 'SepalWidth', 'PetalLength', 'PetalWidth'), selected = "SepalLength"), selectInput(inputId = "y", label = "Choose Y", choices = c('SepalLength', 'SepalWidth', 'PetalLength', 'PetalWidth'), selected = "SepalWidth") ), mainPanel( showOutput("myChart", "highcharts") ) )) </code></pre> <p>server.R</p> <pre><code>require(rCharts) shinyServer(function(input, output) { output$myChart <- renderChart({ names(iris) = gsub("\\.", "", names(iris)) # HPLOT p1 <- hPlot(input$x, input$y, data = iris, type = c("line", "bubble", "scatter"), group = "Species", size = 1) # RPLOT #p1 <- rPlot(input$x, input$y, data = iris, color = "Species", facet = "Species", type = 'point') p1$addParams(dom = 'myChart') return(p1) }) }) </code></pre> <p><img src="https://i.stack.imgur.com/kStjQ.jpg" alt="enter image description here"></p>

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