example_brs: Example dataset

In pjbouchet/espresso: Bayesian Inference For Multi-Species Behavioural Dose-response Functions

Example dataset

Description

Example dataset used to illustrate the format expected by espresso.

Usage

data(example_brs)

Format

A tibble, with the following columns:

Project	Project name or code
Species	Species code, as listed in species_brs
Tag_ID	Unique tag identifier
Resp_time	Time at response
Resp_type	Response type (avoidance, startle, respiration, foraging, locomotion, group, dive, orientation, resting, vocal, or any)
Resp_score	Severity of the response (on a point scale from 0 to 7), as scored by expert elicitation
Resp_SPL	Sound pressure level at time of response (in dB re 1μPa)
Resp_SELcum	Cumulative sound exposure level at time of response (in dB re 1μPa)
Max_SPL	Maximum sound pressure level reached during the exposure
Max_SELcum	Maximum sound exposure level reached during the exposure
Censored	Integer variable indicating whether an observation is left-censored (-1), right-censored (1) or not censored (0)
Exp_order	History of exposure (1 = 1st exposure, 2 = 2nd exposure, etc.)
Exp_duration	Duration of the exposure
Exp_signal	Type of sonar signal (e.g., MFAS, REAL MFA, PRN, CAS)
Pre_feeding	Behavioural mode (TRUE = feeding, FALSE = non-feeding)
Resp_range	Whale-source range at the time of response
Min_range	Minimum whale-source range during the exposure
Inferred Resp_range	Best estimate of whale-source range at the time of response
Inferred Min_range	Best estimate of minimum whale-source range during the exposure

Details

Note: This is a completely manufactured dataset, which should not be used for inference. The ordering of columns does not matter.

pjbouchet/espresso documentation built on July 27, 2024, 12:31 p.m.