Scatterplot colored by highest density regions of a 2D density estimateSource:
Perform 2D density estimation, compute the resulting highest density regions (HDRs), and plot the provided data as a scatterplot with points colored according to their corresponding HDR.
stat_hdr_points( mapping = NULL, data = NULL, geom = "point", position = "identity", ..., method = "kde", probs = c(0.99, 0.95, 0.8, 0.5), n = 100, xlim = NULL, ylim = NULL, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE ) geom_hdr_points( mapping = NULL, data = NULL, stat = "hdr_points", position = "identity", ..., na.rm = FALSE, show.legend = NA, inherit.aes = TRUE )
Set of aesthetic mappings created by
aes(). If specified and
inherit.aes = TRUE(the default), it is combined with the default mapping at the top level of the plot. You must supply
mappingif there is no plot mapping.
The data to be displayed in this layer. There are three options:
NULL, the default, the data is inherited from the plot data as specified in the call to
data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See
fortify()for which variables will be created.
functionwill be called with a single argument, the plot data. The return value must be a
data.frame, and will be used as the layer data. A
functioncan be created from a
~ head(.x, 10)).
The geometric object to use to display the data, either as a
Geomsubclass or as a string naming the geom stripped of the
Position adjustment, either as a string naming the adjustment (e.g.
position_jitter), or the result of a call to a position adjustment function. Use the latter if you need to change the settings of the adjustment.
Other arguments passed on to
layer(). These are often aesthetics, used to set an aesthetic to a fixed value, like
colour = "red"or
size = 3. They may also be parameters to the paired geom/stat.
Density estimator to use, accepts character vector:
"mvnorm". Alternatively accepts functions which return closures corresponding to density estimates, see
Probabilities to compute highest density regions for.
Number of grid points in each direction.
- xlim, ylim
Range to compute and draw regions. If
NULL, defaults to range of data.
FALSE, the default, missing values are removed with a warning. If
TRUE, missing values are silently removed.
logical. Should this layer be included in the legends?
NA, the default, includes if any aesthetics are mapped.
FALSEnever includes, and
TRUEalways includes. It can also be a named logical vector to finely select the aesthetics to display.
FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g.
The statistical transformation to use on the data for this layer, either as a
Geomsubclass or as a string naming the stat stripped of the
geom_hdr_points understands the following aesthetics (required aesthetics are in bold):
The probability associated with the highest density region, specified by
set.seed(1) df <- data.frame(x = rnorm(500), y = rnorm(500)) p <- ggplot(df, aes(x, y)) + coord_equal() p + geom_hdr_points() # Setting aes(fill = after_stat(probs)), color = "black", and # shape = 21 helps alleviate overplotting: p + geom_hdr_points(aes(fill = after_stat(probs)), color = "black", shape = 21, size = 2) # Also works well with geom_hdr_lines() p + geom_hdr_lines( aes(color = after_stat(probs)), alpha = 1, xlim = c(-5, 5), ylim = c(-5, 5) ) + geom_hdr_points( aes(fill = after_stat(probs)), color = "black", shape = 21, size = 2, xlim = c(-5, 5), ylim = c(-5, 5) )