Computes logspline density (+ counts estimate), probability, survival & hazard

stat_logspline(mapping = NULL, data = NULL, geom = "area",
  position = "identity", na.rm = FALSE, show.legend = NA,
  inherit.aes = TRUE, n = 100, max_knots = 0, n_knots = 0,
  min_d = -1, error_action = 2, ...)

Arguments

mapping

Set of aesthetic mappings created by aes() or 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 mapping if there is no plot mapping.

data

The data to be displayed in this layer. There are three options:

If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot().

A 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.

A function will 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 function can be created from a formula (e.g. ~ head(.x, 10)).

geom

Use to override the default connection between geom_density and stat_density.

position

Position adjustment, either as a string, or the result of a call to a position adjustment function.

na.rm

If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

show.legend

logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display.

inherit.aes

If 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. borders().

n

numbe of points for the density estimation (larger == smoother)

max_knots

the maximum number of knots. The routine stops adding knots when this number of knots is reached. The method has an automatic rule for selecting maxknots if this parameter is not specified.

n_knots

forces the method to start with nknots knots. The method has an automatic rule for selecting nknots if this parameter is not specified.

min_d

minimum distance, in order statistics, between knots.

error_action

see error.action in logspline::plot.logspline()

...

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.

Computed variables

  • density : the density estimate

  • count: computed counts (similar to ggplot2::stat_density())

  • probs: distribution function

  • survival: survival function

  • hazard : hazard function

By default the y aesthetic is mapped to stat(density)

Examples

# NOT RUN {
library(ggplot2)

set.seed(1)
data.frame(
  val = rnorm(100)
) -> xdf

ggplot(xdf) + stat_logspline(aes(val))
# }