Range Sliders and Selectors in R

How to use range-sliders and range-selectors in R


New to Plotly?

Plotly is a free and open-source graphing library for R. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

Basic Range Slider and Selector Buttons

library(plotly)
library(quantmod)

# Download some data
getSymbols(Symbols = c("AAPL", "MSFT"), from = '2018-01-01', to = '2019-01-01')
## [1] "AAPL" "MSFT"
ds <- data.frame(Date = index(AAPL), AAPL[,6], MSFT[,6])

fig <- plot_ly(ds, x = ~Date)
fig <- fig %>% add_lines(y = ~AAPL.Adjusted, name = "Apple")
fig <- fig %>% add_lines(y = ~MSFT.Adjusted, name = "Microsoft")
fig <- fig %>% layout(
    title = "Stock Prices",
    xaxis = list(
      rangeselector = list(
        buttons = list(
          list(
            count = 3,
            label = "3 mo",
            step = "month",
            stepmode = "backward"),
          list(
            count = 6,
            label = "6 mo",
            step = "month",
            stepmode = "backward"),
          list(
            count = 1,
            label = "1 yr",
            step = "year",
            stepmode = "backward"),
          list(
            count = 1,
            label = "YTD",
            step = "year",
            stepmode = "todate"),
          list(step = "all"))),

      rangeslider = list(type = "date")),

    yaxis = list(title = "Price"))

fig
Mar 2018May 2018Jul 2018Sep 2018Nov 2018405060708090100110
AppleMicrosoft3 mo6 mo1 yrYTDallStock PricesPriceDate

What About Dash?

Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash for R at https://dashr.plot.ly/installation.

Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:

library(plotly)

fig <- plot_ly() 
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... ) 

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new()
app$layout(
    htmlDiv(
        list(
            dccGraph(figure=fig) 
        )
     )
)

app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)