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')
##  "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
What About Dash?
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)