meanSv.TSD: Locates the point at which the kernel desity estimate of the...

In arnejohannesholmin/sonR: Library for reading, processing and converting sonar data to the TSD format

Locates the point at which the kernel desity estimate of the Sv of the subset is equal to half its maximum, and uses Paper III of the PhD of Holmin to estimate the mean Sv from this. The output variables all start with X, denoting the SX90 segmentation method, but are applicable to all segmentation methods.

Description

Locates the point at which the kernel desity estimate of the Sv of the subset is equal to half its maximum, and uses Paper III of the PhD of Holmin to estimate the mean Sv from this. The output variables all start with X, denoting the SX90 segmentation method, but are applicable to all segmentation methods.

Usage

meanSv.TSD(
  data,
  plot.hist = FALSE,
  allow.vbsc = TRUE,
  list.out = FALSE,
  minlen = 1,
  type = "H",
  enlarged = FALSE,
  ...
)

Arguments

data	A list containing the acoustic data eihter given as 'vbss' for a segment of the data or as 'vbsc'.
plot.hist	Logical: If TRUE plot the histogram of the Sv.
allow.vbsc	?
list.out	Use a list as output.
minlen	The minimum length of the data, at and below which NA is returned.
type	A single character denoting the type of segmentation to label the output with.
enlarged	Logical: If TRUE add "E" to the variable names and remove the last character.
...	Passed on to density and hist.

arnejohannesholmin/sonR documentation built on April 14, 2024, 11:39 p.m.