amt (version 0.2.2.0)

plot_sl: Plot step-length distribution

Description

Plot step-length distribution

Usage

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

Value

A plot of the step-length distribution.

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.

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)