Default stair plot
library(plotly) library(ggplot2) d=data.frame(x=c(1,2,4,5,7,8,9), y=c(1,2,3,5,6,7,9)) p <- ggplot() + geom_step(data=d, mapping=aes(x=x, y=y)) + geom_step(data=d, mapping=aes(x=x, y=y), direction="vh", linetype=3) + geom_point(data=d, mapping=aes(x=x, y=y), color="red") ggplotly(p)
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)