geom_density_2d {ggplot2} | R Documentation

## Contours from a 2d density estimate.

### Description

Perform a 2D kernel density estimation using kde2d and display the results with contours. This can be useful for dealing with overplotting.

### Usage

    geom_density_2d(mapping = NULL, data = NULL, stat = "density2d",
      position = "identity", ..., lineend = "butt", linejoin = "round",
      linemitre = 1, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE)

    stat_density_2d(mapping = NULL, data = NULL, geom = "density_2d",
      position = "identity", ..., contour = TRUE, n = 100, h = NULL,
      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.

`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, stat` | Use to override the default connection between `geom_density_2d` and `stat_density_2d`.
`contour` | If `TRUE`, contour the results of the 2d density estimation
`n` | number of grid points in each direction
`h` | Bandwidth (vector of length two). If `NULL`, estimated using `bandwidth.nrd`.

### Aesthetics

`geom_density_2d` understands the following aesthetics (required aesthetics are in bold):

- `x`

- `y`

- `alpha`

- `colour`

- `linetype`

- `size`

### Computed variables

Same as `stat_contour`

### See Also

`geom_contour` for contour drawing geom, `stat_sum` for another way of dealing with overplotting

### Examples

    m <- ggplot(faithful, aes(x = eruptions, y = waiting)) +
     geom_point() +
     xlim(0.5, 6) +
     ylim(40, 110)
    m + geom_density_2d()

    m + stat_density_2d(aes(fill = ..level..), geom = "polygon")

    set.seed(4393)
    dsmall <- diamonds[sample(nrow(diamonds), 1000), ]
    d <- ggplot(dsmall, aes(x, y))
    # If you map an aesthetic to a categorical variable, you will get a
    # set of contours for each value of that variable
    d + geom_density_2d(aes(colour = cut))

    # If we turn contouring off, we can use use geoms like tiles:
    d + stat_density_2d(geom = "raster", aes(fill = ..density..), contour = FALSE)
    # Or points:
    d + stat_density_2d(geom = "point", aes(size = ..density..), n = 20, contour = FALSE)

[Package ggplot2 version 2.1.0 Index]