2D Histograms in R
How to make a 2D histogram in R. A 2D histogram is a visualization of a bivariate distribution.
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 2D Histogram
2D histograms require
y, but in contrast to heatmaps,
z is optional. If
z is not provided, binning occurs in the browser (see here for a list of binning options).
# install.packages('mvtnorm') library(plotly) s <- matrix(c(1, -.75, -.75, 1), ncol = 2) obs <- mvtnorm::rmvnorm(500, sigma = s) fig <- plot_ly(x = obs[,1], y = obs[,2]) fig2 <- subplot( fig %>% add_markers(alpha = 0.2), fig %>% add_histogram2d() ) fig2
z is not provided, the only way to control coloring is through the colorscale attribute
fig <- fig %>% add_histogram2d(colorscale = "Blues") 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)