trackfreqs creates spectrograms to visualize dominant and fundametal frequency measurements (contours)
of signals selected by manualoc or autodetec.
trackfreqs(X, wl = 512, flim = c(0, 22), wn = "hanning", pal =
reverse.gray.colors.2, ovlp = 70, inner.mar = c(5, 4, 4, 2), outer.mar =
c(0, 0, 0, 0), picsize = 1, res = 100, cexlab = 1, title = TRUE, propwidth = FALSE,
xl = 1, osci = FALSE, gr = FALSE, sc = FALSE, bp = c(0, 22), cex = c(0.6, 1),
threshold = 15, contour = "both", col = c("skyblue", "red2"),
pch = c(21, 24), mar = 0.05, lpos = "topright", it = "jpeg", parallel = 1,
path = NULL, img.suffix = NULL, custom.contour = NULL, pb = TRUE, type = "p",
leglab = c("Ffreq", "Dfreq"), col.alpha = 0.6, line = TRUE,
fast.spec = FALSE, ff.method = "seewave", ...)A numeric vector of length 1 specifying the window length of the spectrogram, default is 512.
A numeric vector of length 2 for the frequency limit of
the spectrogram (in kHz), as in spectro. Default is c(0, 22).
Character vector of length 1 specifying window name. Default is
"hanning". See function ftwindow for more options.
A color palette function to be used to assign colors in the
plot, as in spectro. Default is reverse.gray.colors.2.
Numeric vector of length 1 specifying % of overlap between two
consecutive windows, as in spectro. Default is 70.
Numeric vector with 4 elements, default is c(5,4,4,2).
Specifies number of lines in inner plot margins where axis labels fall,
with form c(bottom, left, top, right). See par.
Numeric vector with 4 elements, default is c(0,0,0,0).
Specifies number of lines in outer plot margins beyond axis labels, with
form c(bottom, left, top, right). See par.
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.
Numeric vector of length 1 specifying the relative size of axis
labels. See spectro.
Logical argument to add a title to individual spectrograms.
Default is TRUE.
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.
Logical argument to add an oscillogram underneath spectrogram, as
in spectro. Default is FALSE.
Logical argument to add grid to spectrogram. Default is FALSE.
Logical argument to add amplitude scale to spectrogram, default is
FALSE.
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 low.f and high.f columns will be used as bandpass limits. Default is c(0, 22).
Numeric vector of length 2, specifies relative size of points
plotted for frequency measurements and legend font/points, respectively.
See spectro.
amplitude threshold (%) for fundamental frequency and dominant frequency detection. Default is 15.
Character vector, one of "df", "ff" or "both", specifying whether the dominant or fundamental frequencies or both should be plotted. Default is "both".
Vector of length 1 or 2 specifying colors of points plotted to mark fundamental and dominant frequency measurements respetively (if both are plotted). Default is c("skyblue", "red2").
Numeric vector of length 1 or 2 specifying plotting characters for the frequency measurements. Default is c(21, 24).
Numeric vector of length 1. Specifies the margins adjacent to the selections to set spectrogram limits. Default is 0.05.
Character vector of length 1 or numeric vector of length 2, specifiying position of legend. If the former, any keyword accepted by xy.coords can be used (see below). If the latter, the first value will be the x coordinate and the second value the y coordinate for the legend's position. Default is "topright".
A character vector of length 1 giving the image type to be used. Currently only "tiff" and "jpeg" are admitted. Default is "jpeg".
Numeric. Controls whether parallel computing is applied. It specifies the number of cores to be used. Default is 1 (i.e. no parallel computing).
Character string containing the directory path where the sound files are located.
If NULL (default) then the current working directory is used.
A character vector of length 1 with a suffix (label) to add at the end of the names of
image files. Default is NULL.
A data frame with frequency contours for exactly the same sound files and selection as in X. The frequency values are assumed to be equally spaced in between the start and end of the signal. The first 2 colums of the data frame should contain the 'sound.files' and 'selec' columns and should be identical to the corresponding columns in X (same order).
Logical argument to control progress bar. Default is TRUE. Note that progress bar is only used
when parallel = 1.
A character vector of length 1 indicating the type of frequency contour plot to be drawn. Possible types are "p" for points, "l" for lines and "b" for both.
A character vector of length 1 or 2 containing the label(s) of the frequency contour legend in the output image.
A numeric vector of length 1 within [0,1] indicating how transparent the lines/points should be.
Logical argument to add red lines (or box if low.f and high.f columns are provided) at start and end times of selection. Default is TRUE.
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' spectograms. Palette colors gray.1, gray.2,
gray.3 offer
decreasing darkness levels. THIS IS STILL BEING TESTED.
Additional arguments to be passed to the internal spectrogram creating function for customizing graphical output. The function is a modified version of spectro, so it takes the same arguments.
Spectrograms of the signals listed in the input data frame showing the location of the dominant and fundamental frequencies.
This function provides visualization of frequency measurements as the ones
made by specan. Frequency measures can be made by the function or input by the
user (see 'custom.contour' argument) Arguments that are accepted by xy.coords and can be
used for 'lpos' are: "bottomright", "bottom", "bottomleft", "left",
"topleft", "top", "topright", "right" and "center". Setting inner.mar to
c(4,4.5,2,1) and outer.mar to c(4,2,2,1) works well when picsize = 2 or 3.
Title font size, inner.mar and outer.mar (from mar and oma) don't work well
when osci or sc = TRUE, this may take some optimization by the user. Note that if no amplitude was detected
for a particular time bin, then the image will show a dark dot at the bottom of the time bin.
specreator for creating spectrograms from selections,
snrspecs for creating spectrograms to
optimize noise margins used in sig2noise
Other spectrogram.creators: dfDTW,
dfts, ffDTW,
ffts, snrspecs,
sp.en.ts, specreator
# NOT RUN {
#Set temporary working directory
setwd(tempdir())
#load data
data("Cryp.soui")
writeWave(Cryp.soui, "Cryp.soui.wav") #save sound files
#autodetec location of signals
ad <- autodetec(threshold = 6, bp = c(1, 3), mindur = 1.2,
maxdur = 3, img = FALSE, ssmooth = 600, wl = 300, flist = "Cryp.soui.wav")
#track dominant frequency graphs
trackfreqs(X = ad[!is.na(ad$start),], flim = c(0, 5), ovlp = 90, it = "tiff",
bp = c(1, 3), contour = "df", wl = 300)
#using users frequency data (custom.contour argument)
#first get contours using dfts
df <- dfts(X = ad[!is.na(ad$start),], flim = c(0, 5), ovlp = 90, img = FALSE,
bp = c(1, 3), wl = 300)
# now input the dfts output into trackfreqs
trackfreqs(X = ad[!is.na(ad$start),], custom.contour = df ,flim = c(0, 5), ovlp = 90, it = "tiff")
# Check this folder
getwd()
#track both frequencies
trackfreqs(X = ad[!is.na(ad$start),], flim = c(0, 5), ovlp = 90, it = "tiff",
bp = c(1, 3), contour = "both", wl = 300)
# }
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