pDrift: 'pDrift' Drift rate and weight calculations

In embiuw/drifteR: Drift dive detection, weighting and estimation

Description

pDrift Drift rate and weight calculations

Usage

pDrift(data = dive, depth.wpar = c(100, 30), plotit = F, keep.all = T)

Arguments

data	Data frame with dive data output from the rbs function.
depth.wpar	Set mean ad standard deviation of half gaussian for depth weighting
plotit	Logical, plot results or not
keep.all	Logical, keep all data or only data containing valid drift rates and weights

Details

Takes a dive set of dive data from SRDLs (Sea Mammal Research Unit), and calculates drift rate based on segment between first two extracted inflection points, along with probability weights for each dive being a drift dive.

Author(s)

Martin Biuw

See Also

rbs Reverse Broken Stick algorithm

check.pDrift to interactively check drift dive weightings

fitDrate To fit state-space model to weighted data to estimate drift rate change over time

fitPlot To plot output from fitDrift

Other Drift dive functions: check.pDrift(), fitDrate(), fitPlot(), rbs()

Examples

rbs(data=dive, num=100, n.bs=4)
dive <- rbs(data=dive, num=NA, n.bs=4)
dive <- pDrift(dive)

embiuw/drifteR documentation built on March 1, 2021, 6:40 a.m.