NOTE: Features of rNVD3 have now been incorporated into rCharts. rCharts supports several other JS charting libraries including NVD3, with a plotting interface familiar to R users. Development will cease on rNVD3.
This R package provides a familiar plotting interface for R users to create interactive visualizations using NVD3.js.
You can install rNVD3 from github using the devtools package
require(devtools)
install_github('rNVD3', 'ramnathv')
rNVD3 uses a formula interface to specify plots, just like the lattice package. Here is an example that you can try in your R console
hair_eye = subset(as.data.frame(HairEyeColor), Sex == "Female")
p1 <- nvd3Plot(Freq ~ Hair | Eye, data = hair_eye, type = 'multiBarChart')
p1$chart(color = c('brown', 'blue', '#594c26', 'green'))
p1
p1$save('haireye.html')
rNVD3 is also compatible with Slidify. Here is a slide deck with examples. Note that rNVD3 plots work best in Google Chrome.
More documentation is underway.
## server.r
require(rNVD3)
shinyServer(function(input, output) {
output$myChart <- renderChart({
hair_eye = as.data.frame(HairEyeColor)
p6 <- nvd3Plot(Freq ~ Hair | Eye, data = subset(hair_eye, Sex == input$gender),
type = input$type, id = 'myChart', width = 800)
p6$chart(color = c('brown', 'blue', '#594c26', 'green'), stacked = input$stack)
return(p6)
})
})
## ui.R
require(rNVD3)
shinyUI(pageWithSidebar(
headerPanel("rNVD3: Interactive Charts from R using NVD3.js"),
sidebarPanel(
selectInput(inputId = "gender",
label = "Choose Gender",
choices = c("Male", "Female"),
selected = "Male"),
selectInput(inputId = "type",
label = "Choose Chart Type",
choices = c("multiBarChart", "multiBarHorizontalChart"),
selected = "multiBarChart"),
checkboxInput(inputId = "stack",
label = strong("Stack Bars?"),
value = FALSE)
),
mainPanel(
showOutput("myChart")
)
))
Most of the implementation in rNVD3 is inspired by rHighcharts and rVega. I have reused some code from these packages verbatim, and would like to acknowledge the efforts of its author Thomas Reinholdsson.
MIT
There has been a lot of interest recently in creating packages that allow R users to make use of Javascript charting libraries.