std.error.circular

Calculate the standard error of the mean for circular data

internal

Designed for studies where animals tagged with acoustic tags are expected
to move through receiver arrays. This package combines the advantages of automatic sorting and checking
of animal movements with the possibility for user intervention on tags that deviate from expected
behaviour. The three analysis functions (explore(), migration() and residency())
allow the users to analyse their data in a systematic way, making it easy to compare results from
different studies.
CJS calculations are based on Perry et al. (2012) <https://www.researchgate.net/publication/256443823_Using_mark-recapture_models_to_estimate_survival_from_telemetry_data>.

Hugo Fl<c3><a1>vio

actel

Acoustic Telemetry Data Analysis

Hugo Flávio

std.error.circular function

<dl><dt>x</dt>
<dd>input data</dd>
<dt>na.rm</dt>
<dd>Logical: Should missing values be removed?</dd>
<dt>silent</dt>
<dd>Logical: Should the number of NA's removed be displayed?</dd></dl>

Arguments

Calculate the standard error of the mean for circular data — std.error.circular

<dl>

<dt>x</dt>
<dd>input data</dd>


<dt>na.rm</dt>
<dd>Logical: Should missing values be removed?</dd>


<dt>silent</dt>
<dd>Logical: Should the number of NA's removed be displayed?</dd>

</dl>

std.error.circular: Calculate the standard error of the mean for circular data

Description

Usage

Value

Arguments