frange detect frequency range iteratively from signals in a selection table.
frange(X, wl = 512, it = "jpeg", line = TRUE, fsmooth = 0.1, threshold = 10,
dB.threshold = NULL, wn = "hanning", flim = c(0, 22), bp = NULL,
propwidth = FALSE, xl = 1, picsize = 1, res = 100, fast.spec = FALSE, ovlp = 50,
pal = reverse.gray.colors.2, parallel = 1, widths = c(2, 1), main = NULL,
img = TRUE, mar = 0.05, path = NULL, pb = TRUE, impute = FALSE)object of class 'selection_table', 'extended_selection_table' or data frame with the following columns: 1) "sound.files": name of the .wav
files, 2) "sel": number of the selections, 3) "start": start time of selections, 4) "end":
end time of selections. The ouptut of manualoc or autodetec can
also be used as the input data frame.
A character vector of length 1 giving the image type to be used. Currently only "tiff" and "jpeg" are admitted. Default is "jpeg".
Logical argument to add red lines (or box if bottom.freq and top.freq columns are provided) at start and end times of selection. Default is TRUE.
A numeric vector of length 1 to smooth the frequency spectrum with a mean sliding window in kHz. This help to average amplitude "hills" to minimize the effect of amplitude modulation. Default is 0.1.
Amplitude threshold (%) for frequency range detection. The frequency range (not the cumulative amplitude) is represented as percentage (100% = highest amplitude). Default is 10. Ignored if 'dB.threshold' is supplied.
Amplitude threshold for frequency range detection (in dB). The value indicates the decrease in dB in relation to the highest amplitude (e.g. the peak frequency) in which range will be detected. For instance a dB.threshold = 20 means that the amplitude threshold would be 20 dB below the highest amplitude. If provided 'threshold' is ignored. Default is NULL.
Note that the power spectrum is normalized when using a dB scale, so it looks different than the one produced when no dB scale is used (e.g. when using 'threshold' argument).
A numeric vector of length 2 for the frequency limit of
the spectrogram (in kHz), as in spectro. Default is c(0, 22).
A numeric vector of length 2 for the lower and upper limits of a frequency bandpass filter (in kHz) or "frange" to indicate that values in 'bottom.freq' and 'top.freq' columns will be used as bandpass limits. Default is c(0, 22).
Logical argument to scale the width of spectrogram
proportionally to duration of the selected call. Default is FALSE.
Numeric vector of length 1. A constant by which to scale spectrogram width. Default is 1.
Numeric argument of length 1. Controls relative size of spectrogram. Default is 1.
Numeric argument of length 1. Controls image resolution. Default is 100 (faster) although 300 - 400 is recommended for publication/ presentation quality.
Logical. If TRUE then image function is used internally to create spectrograms, which substantially
increases performance (much faster), although some options become unavailable, as collevels, and sc (amplitude scale).
This option is indicated for signals with high background noise levels. Palette colors gray.1, gray.2,
gray.3, topo.1 and rainbow.1 (which should be imported from the package monitoR) seem
to work better with 'fast.spec' spectograms. Palette colors gray.1, gray.2,
gray.3 offer
decreasing darkness levels.
Numeric. Controls whether parallel computing is applied. It specifies the number of cores to be used. Default is 1 (i.e. no parallel computing).
Numeric vector of length 2 to control the relative widths of the spectro (first element) and spectrum (second element).
Character vector of length 1 specifying the img title. Default is NULL.
Logical. Controls whether a plot is produced. Default is TRUE.
Numeric vector of length 1. Specifies the margins adjacent to the selections to set spectrogram limits. Default is 0.05.
Character string containing the directory path where the sound files are located.
If NULL (default) then the current working directory is used.
Logical argument to control progress bar and messages. Default is TRUE.
Logical. If TRUE then missing range values are imputed
with the corresponding bandpass value (hence ignored when bp = NULL). Default is FALSE.
The original data frame with an additional 2 columns for low and high frequency values. A plot is produced in the working directory if img = TRUE (see details).
This functions aims to automatize the detection of frequency ranges. The frequency range is calculated as follows:
bottom.freq = the start frequency of the amplitude 'hill' containing the highest amplitude at the given threshold.
top.freq = the end frequency of the amplitude 'hill' containing the highest amplitude at the given threshold.
If img = TRUE a graph including a spectrogram and a frequency spectrum is
generated for each selection (saved as an image file in the working directory). The graph would include gray areas in the frequency ranges exluded by the bandpass ('bp' argument), dotted lines highlighting the detected range. The function frange.detec is used internally.
Araya-Salas, M., & Smith-Vidaurre, G. (2017). warbleR: An R package to streamline analysis of animal acoustic signals. Methods in Ecology and Evolution, 8(2), 184-191.
# NOT RUN {
{
data(list = c("Phae.long1", "Phae.long2", "Phae.long3", "Phae.long4", "lbh_selec_table"))
writeWave(Phae.long1, file.path(tempdir(), "Phae.long1.wav"))
writeWave(Phae.long2, file.path(tempdir(), "Phae.long2.wav"))
writeWave(Phae.long3, file.path(tempdir(), "Phae.long3.wav"))
writeWave(Phae.long4, file.path(tempdir(), "Phae.long4.wav"))
frange(X = lbh_selec_table, wl = 112, fsmooth = 1, threshold = 13, widths = c(4, 1),
img = TRUE, pb = TRUE, it = "tiff", line = TRUE, mar = 0.1, bp = c(1,10.5),
flim = c(0, 11), path = tempdir())
}
# }
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