Contour Plots in ggplot2
How to make Contour Plots in ggplot2 with Plotly.
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Basic geom_contour
plot
geom_contour
produces a similar output to geom_density_2d
, except it uses a third variable for the values rather than frequency. The volcano dataset comes pre-loaded on R.
library(plotly)
library(reshape2)
df <- melt(volcano)
p <- ggplot(df, aes(Var1, Var2, z= value)) +
geom_contour() +
scale_fill_distiller(palette = "Spectral", direction = -1)
ggplotly(p)
Coloured Plot
See here for a list of colour palettes that come with the brewer (discrete) and distiller (continuous) packages.
library(plotly)
library(reshape2)
df <- melt(volcano)
p <- ggplot(df, aes(Var1, Var2, z= value, colour=stat(level))) +
geom_contour() +
scale_colour_distiller(palette = "YlGn", direction = 1)
ggplotly(p)
Filled Plot
It's possible to colour in each of the layers, by changing geom_contour
to stat_contour
as below. As the edges of the graph indicate, filled contour plots only work when each layer is an enclosed shape rather than an open line; a geom more suited to this functionality would be geom_tile
or geom_raster
.
library(plotly)
library(reshape2)
df <- melt(volcano)
p <- ggplot(df, aes(Var1, Var2, z= value)) +
stat_contour(geom="polygon",aes(fill=stat(level))) +
scale_fill_distiller(palette = "Spectral", direction = -1)
ggplotly(p)
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)