amt: random_steps – R documentation

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amt

random_steps

Generate Random Steps

Description

Function to generate a given number of random steps for each observed step.

Usage

random_steps(x, ...)

## S3 method for class 'numeric'
random_steps(
  x,
  n_control = 10,
  angle = 0,
  rand_sl = random_numbers(make_exp_distr(), n = 1e+05),
  rand_ta = random_numbers(make_unif_distr(), n = 1e+05),
  ...
)

## S3 method for class 'steps_xy'
random_steps(
  x,
  n_control = 10,
  sl_distr = fit_distr(x$sl_, "gamma"),
  ta_distr = fit_distr(x$ta_, "vonmises"),
  rand_sl = random_numbers(sl_distr, n = 1e+05),
  rand_ta = random_numbers(ta_distr, n = 1e+05),
  include_observed = TRUE,
  ...
)

Arguments

`x`	Steps.
`...`	Further arguments, none implemented.
`n_control`	`[integer(1)=10]{>1}` The number of control steps paired with each observed step.
`angle`	`[numeric(1) = 0]{-pi < rel_angle < pi}` Angle for the first step.
`rand_sl`	`[numeric]` Numeric vector with random step lengths an animal can make. This will usually be random numbers drawn from a suitable distribution (e.g., gamma or exponential).
`rand_ta`	`[numeric]` Numeric vector with relative turning angles an animal can make. This will usually be random numbers drawn from a suitable distribution (e.g., von Mises or uniform).
`sl_distr`	`[amt_distr]` The step-length distribution.
`ta_distr`	`[amt_distr]` The turn-angle distribution.
`include_observed`	`[logical(1) = TRUE]` Indicates if observed steps are to be included in the result.

amt

Animal Movement Tools

v0.1.4

GPL-3

Authors

Johannes Signer [aut, cre], Brian Smith [ctb], Bjoern Reineking [ctb], Ulrike Schlaegel [ctb], John Fieberg [ctb], Scott LaPoint [dtc]

Initial release

random_steps

Description

Usage

Arguments

amt

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