plot_sl: Plot step-length distribution

In amt: Animal Movement Tools

Plot step-length distribution

Description

Plot step-length distribution

Usage

plot_sl(x, ...)

## S3 method for class 'fit_clogit'
plot_sl(x, n = 1000, upper_quantile = 0.99, plot = TRUE, ...)

## S3 method for class 'random_steps'
plot_sl(x, n = 1000, upper_quantile = 0.99, plot = TRUE, ...)

Arguments

x	⁠[fit_clogit|random_steps]⁠ A fitted step selection or random steps.
...	Further arguments, none implemented.
n	⁠[numeric(1)=1000]{>0}⁠ The number of breaks between 0 and upper_quantile.
upper_quantile	⁠[nummeric(1)=0.99]{0-1}⁠ The quantile until where the distribution should be plotted. Typically this will be 0.95 or 0.99.
plot	⁠[logical(1)=TRUE]⁠ Indicates if a plot should be drawn or not.

Value

A plot of the step-length distribution.

Examples

data(deer)

# with random steps
deer[1:100, ] |> steps_by_burst() |> random_steps() |> plot_sl()
deer[1:100, ] |> steps_by_burst() |> random_steps() |> plot_sl(upper_quantile = 0.5)

amt documentation built on June 25, 2024, 1:14 a.m.