boutfreqs: Histogram of log-transformed frequencies

In diveMove: Dive Analysis and Calibration

Histogram of log-transformed frequencies

Description

Histogram of log-transformed frequencies

Usage

boutfreqs(x, bw, method = c("standard", "seq.diff"), plot = TRUE, ...)

Arguments

x	numeric vector on which bouts will be identified based on “method”. For labelBouts it can also be a matrix with different variables for which bouts should be identified.
bw	numeric scalar: bin width for the histogram.
method	character: method used for calculating the frequencies: “standard” simply uses x, while “seq.diff” uses the sequential differences method.
plot	logical, whether to plot results or not.
...	For boutfreqs, arguments passed to hist (must exclude breaks and include.lowest)

Value

boutfreqs returns an object of class Bouts, with slot lnfreq consisting of a data frame with components lnfreq containing the log frequencies and x, containing the corresponding mid points of the histogram. Empty bins are excluded. A plot (histogram of input data) is produced as a side effect if argument plot is TRUE. See the Details section.

Author(s)

Sebastian P. Luque [e-mail]

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