R: Plot empirical and deterministic cumulative frequency...

plotBoutsCDF,nls,numeric-method {diveMove}

R Documentation

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 spluque@gmail.com

[Package diveMove version 1.6.0 Index]