inflections
counts the number of inflections in a frequency contour (or any time series)
Arguments
- X
data frame with the columns for "sound.files" (sound file name), "selec" (unique identifier for each selection) and columns for each of the frequency values of the contours. No other columns should be included.
- parallel
Numeric. Controls whether parallel computing is applied. It specifies the number of cores to be used. Default is 1 (i.e. no parallel computing).
- pb
Logical argument to control progress bar and messages. Default is
TRUE
.
References
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.
Author
Marcelo Araya-Salas (marcelo.araya@ucr.ac.cr)
Examples
{
# get warbleR sound file examples
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"))
# measure frequency contours
dom.freq.ts <- freq_ts(X = lbh_selec_table, path = tempdir())
# get number of inflections
inflections(X = dom.freq.ts)
}
#> sound.files selec inflections
#> 1 Phae.long1.wav 1 6
#> 2 Phae.long1.wav 2 7
#> 3 Phae.long1.wav 3 7
#> 4 Phae.long2.wav 1 9
#> 5 Phae.long2.wav 2 6
#> 6 Phae.long3.wav 1 9
#> 7 Phae.long3.wav 2 5
#> 8 Phae.long3.wav 3 6
#> 9 Phae.long4.wav 1 3
#> 10 Phae.long4.wav 2 3
#> 11 Phae.long4.wav 3 3