hist.kasc: Histograms of Mapped Variables

In adehabitat: Analysis of Habitat Selection by Animals

Description

hist.kasc performs histograms of the variables mapped in objects of class kasc.

Usage

## S3 method for class 'kasc'
hist(x, type = c("h", "l", "b"), adjust = 1, col,
          border, lwd = 1, ...)

Arguments

x	a raster map of class kasc
type	what type of plot should be drawn. Possible types are: * "h" for histograms, * "l" for kernel density estimates (see ?density). * "b" for both histograms and kernel density estimates (see ?density). By default, type = "h" is used. If type = "l" is used, the position of the mean of each distribution is indicated by dotted lines
adjust	if type = "l", a parameter used to control the bandwidth of the density estimate (see ?density)
col	color for the histogram
border	color for the border of the histogram
lwd	if type = "l", line width for the density estimate
...	further arguments passed to or from other methods

Author(s)

Mathieu Basille [e-mail]

See Also

kasc

Examples

## Example with factors and numeric variables
data(puechabon)
hist(puechabon$kasc, type = "h")

## Aspect is a factor, then it's not possible to use 
## kernel density estimates for it :
hist(puechabon$kasc)

## Removing the factor Aspect, and smoothing gives :
hist(puechabon$kasc[-2], type = "l")

adehabitat documentation built on Jan. 28, 2018, 5:02 p.m.