plotBoutsCDF: Plot empirical and deterministic cumulative frequency...

In diveMove: Dive Analysis and Calibration

Plot empirical and deterministic cumulative frequency distribution Poisson mixture data and model

Description

Plot empirical and deterministic cumulative frequency distribution Poisson mixture data and model

Usage

## S4 method for signature 'nls,numeric'
plotBoutsCDF(fit, obj, xlim, draw.bec = FALSE, bec.lty = 2, ...)

## S4 method for signature 'nls,Bouts'
plotBoutsCDF(fit, obj, xlim, draw.bec = FALSE, bec.lty = 2, ...)

## S4 method for signature 'mle,numeric'
plotBoutsCDF(fit, obj, xlim, draw.bec = FALSE, bec.lty = 2, ...)

## S4 method for signature 'mle,Bouts'
plotBoutsCDF(fit, obj, xlim, draw.bec = FALSE, bec.lty = 2, ...)

Arguments

fit	Object of class nls or mle.
obj	Object of class Bouts.
xlim	2-length vector with limits for the x axis. If omitted, a sensible default is calculated.
draw.bec	logical; whether to draw the BECs
bec.lty	Line type specification for drawing the BEC reference line.
...	Arguments passed to plot.default.

Methods (by class)

• fit = nls,obj = numeric: Plot (E)CDF on nls fit object and numeric vector

• fit = nls,obj = Bouts: Plot (E)CDF on nls fit object and Bouts object

• fit = mle,obj = numeric: Plot (E)CDF on numeric vector

• fit = mle,obj = Bouts: Plot (E)CDF on mle fit object

Author(s)

Sebastian P. Luque [e-mail]

diveMove documentation built on Nov. 10, 2022, 5:11 p.m.