geom_contour: Display contours of a 3d surface in 2d.

Description

Display contours of a 3d surface in 2d.

Usage

geom_contour(mapping = NULL, data = NULL, stat = "contour", position = "identity", ..., lineend = "butt", linejoin = "round", linemitre = 1, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE)
 stat_contour(mapping = NULL, data = NULL, geom = "contour", position = "identity", ..., na.rm = FALSE, show.legend = NA, inherit.aes = TRUE)

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.

stat

The statistical transformation to use on the data for this layer, as a string.

position

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

...

other arguments passed on to layer. These are often aesthetics, used to set an aesthetic to a fixed value, like color = "red" or size = 3. They may also be parameters to the paired geom/stat.

lineend

Line end style (round, butt, square)

linejoin

Line join style (round, mitre, bevel)

linemitre

Line mitre limit (number greater than 1)

na.rm

If FALSE (the default), removes missing values with a warning. If TRUE silently removes missing values.

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.

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.

geom

The geometric object to use display the data

Aesthetics

geom_contour understands the following aesthetics (required aesthetics are in bold):

x
y
alpha
colour
linetype
size
weight

Computed variables

level: height of contour

Examples

Run this code

#' # Basic plot v <- ggplot(faithfuld, aes(waiting, eruptions, z = density)) v + geom_contour()  # Or compute from raw data ggplot(faithful, aes(waiting, eruptions)) +  geom_density_2d()   # Setting bins creates evenly spaced contours in the range of the data v + geom_contour(bins = 2) v + geom_contour(bins = 10)  # Setting binwidth does the same thing, parameterised by the distance # between contours v + geom_contour(binwidth = 0.01) v + geom_contour(binwidth = 0.001)  # Other parameters v + geom_contour(aes(colour = ..level..)) v + geom_contour(colour = "red") v + geom_raster(aes(fill = density)) +  geom_contour(colour = "white")