diveMove (version 1.6.4)

plotBoutsCDF,nls,numeric-method: 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 nls,numeric
plotBoutsCDF(fit, obj, xlim, draw.bec = FALSE, bec.lty = 2, ...)
# S4 method for nls,Bouts
plotBoutsCDF(fit, obj, xlim, draw.bec = FALSE, bec.lty = 2, ...)
# S4 method for mle,numeric
plotBoutsCDF(fit, obj, xlim, draw.bec = FALSE, bec.lty = 2, ...)
# S4 method for 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

Sebastian P. Luque