freq_range_detec detects the frequency range of acoustic signals on wave objects.
freq_range_detec(wave, wl = 512, fsmooth = 0.1, threshold = 10,
dB.threshold = NULL, wn = "hanning", flim = c(0, 22), bp = NULL,
fast.spec = FALSE, ovlp = 50, pal = reverse.gray.colors.2,
widths = c(2, 1), main = NULL, plot = TRUE, all.detec = FALSE)A 'wave' object produced by readWave or similar functions.
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. 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' spectrograms. Palette colors gray.1, gray.2,
gray.3 offer
decreasing darkness levels.
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 plot title. Default is NULL.
Logical. Controls whether an image file is produced for each selection (in the
working directory). Default is TRUE.
Logical. If TRUE returns the start and end of all detected amplitude
"hills". Otherwise only the range is returned. Default is FALSE.
A data frame with 2 columns for low and high frequency values. A plot is produced (in the graphic device) if plot = 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 plot = TRUE a graph including a spectrogram and a frequency spectrum is
produced in the graphic device. The graph would include gray areas in the frequency ranges excluded by the bandpass ('bp' argument), dotted lines highlighting the detected range.
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(tico)
freq_range_detec(wave = tico, wl = 512, fsmooth = 0.01, threshold = 1, bp = c(2, 8),
widths = c(4, 2))
data(sheep)
freq_range_detec(wave = sheep, wl = 512, fsmooth = 0.2, threshold = 50, bp = c(0.3, 1),
flim = c(0, 1.5), pal = reverse.heat.colors, main = "sheep")
}
# }
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