2D Histogram Contour in R
How to create 2D Histogram Contour plots in R with Plotly.
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Basic 2D Histogram Contour
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])
fig <- fig %>%
add_trace(type='histogram2dcontour')
fig
Styled 2D Histogram Contour
library(plotly)
cnt <- with(diamonds, table(cut, clarity))
fig <- plot_ly(diamonds, x = ~cut, y = ~clarity)
fig <- fig %>%
add_trace(
type='histogram2dcontour',
contours = list(
showlabels = T,
labelfont = list(
family = 'Raleway',
color = 'white'
)
),
hoverlabel = list(
bgcolor = 'white',
bordercolor = 'black',
font = list(
family = 'Raleway',
color = 'black'
)
)
)
fig
2D Histogram Contour Subplot
library(plotly)
x <- rnorm(1000)
y <- rnorm(1000)
s <- subplot(
plot_ly(x = x, color = I("black"), type = 'histogram'),
plotly_empty(),
plot_ly(x = x, y = y, type = 'histogram2dcontour', showscale = F),
plot_ly(y = y, color = I("black"), type = 'histogram'),
nrows = 2, heights = c(0.2, 0.8), widths = c(0.8, 0.2),
shareX = TRUE, shareY = TRUE, titleX = FALSE, titleY = FALSE
)
fig <- layout(s, showlegend = FALSE)
fig
Reference
See https://plotly.com/r/reference/#histogram2dcontour for more information and options!
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)