fitPlot: 'fitPlot' Plot output from 'fitDrift'

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

Description

fitPlot Plot output from fitDrift

Usage

fitPlot(
  fit,
  yLims = c(-0.5, 0.2),
  fitCol = 2,
  fitAlpha = 0.2,
  add = F,
  fitLwd = 1,
  ptMag = 2,
  ptAlpha = 1
)

Arguments

fit	Output list from the fitDrift function.
yLims	Set range of y axis
fitCol	Colour to be used for estimated drift trajectory
fitLwd	Line width to be used for estimated mean drift trajectory
ptMag	Scaling for point size
ptAlpha	Scaling for point transparency (usually has to be 1 or less)
fitAlpa	Transparency to e used for estimated drift trajectory

Value

A plot with data and the fitted estimates with confidence intervals

Author(s)

Martin Biuw

See Also

rbs Reverse Broken Stick algorithm

check.pDrift to interactively check drift dive weightings

pDrift to calculate drift rate and probability weightings for drift dive detection

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

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

Examples

rbs(data=dive, num=100, n.bs=4)
dive <- rbs(data=dive, num=NA, n.bs=4)
dive <- pDrift(dive)
fit <- fitDrate(dive, prefilter=0.01)
fit2 <- fitDrate(dive, weight='rRes*span*dWt', prefilter=0.01)
fitPlot(fit)
fitPlot(fit2, add=T, fitCol=3)

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