contour_tailor
produces an interactive spectrographic view (similar to manualoc
) in
which the start/end times and frequency range of acoustic signals listed in a data frame can be adjusted.
contour_tailor(X = NULL, wl = 512, flim = c(0,22), wn = "hanning", mar = 0.5,
osci = TRUE, pal = reverse.gray.colors.2, ovlp = 70, auto.next = FALSE, pause = 1,
comments = TRUE, path = NULL, frange = FALSE, fast.spec = FALSE, ext.window = TRUE,
width = 15, height = 5, index = NULL, collevels = NULL,
title = c("sound.files", "selec"),...)
'selection.table' object or data frame with the following columns: 1) "sound.files": name of the .wav
files, 2) "selec": number of the selections, 3) "start": start time of selections, 4) "end":
end time of selections. The ouptut of manualoc
or autodetec
can
be used as the input data frame. Other data frames can be used as input, but must have at least the 4 columns mentioned above. Notice that, if an output file ("contour_tailor_output.csv") is found in the working directory it will be given priority over an input data frame.
A numeric vector of length 1 specifying the spectrogram window length. Default is 512.
A numeric vector of length 2 specifying the frequency limit (in kHz) of
the spectrogram, as in the function spectro
.
Default is c(0,22).
A character vector of length 1 specifying the window function (by default "hanning").
See function ftwindow
for more options.
Numeric vector of length 1. Specifies the margins adjacent to the start and end points of the selections to define spectrogram limits. Default is 0.5.
Logical argument. If TRUE
adds a oscillogram whenever the spectrograms are produced
with higher resolution (see seltime). Default is TRUE
.
The external program must be closed before resuming analysis. Default is NULL
.
A color palette function to be used to assign colors in the
plot, as in spectro
. Default is reverse.gray.colors.2. See Details.
Numeric vector of length 1 specifying the percent overlap between two
consecutive windows, as in spectro
. Default is 70.
Logical argument to control whether the functions moves automatically to the next selection. The time interval before moving to the next selection is controled by the 'pause' argument.
Numeric vector of length 1. Controls the duration of the waiting period before moving to the next selection (in seconds). Default is 1.
Logical argument specifying if 'sel.comment' (when in data frame) should be included
in the title of the spectrograms. Default is TRUE
.
Character string containing the directory path where the sound files are located.
Logical argument specifying whether limits on frequency range should be
recorded.
If NULL
(default) then only the time limits are recorded.
Logical. If TRUE
then image function is used internally to create spectrograms, which substantially
increases performance (much faster), although some options become unavailable, as 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.
Logical. If TRUE
then and external graphic window is used. Default
dimensions can be set using the 'width' and 'height' arguments. Default is TRUE
.
Numeric of length 1 controling the width of the external graphic window. Ignored
if ext.window = FALSE
. Default is 15.
Numeric of length 1 controling the height of the external graphic window.
Ignored if ext.window = FALSE
. Default is 5.
Numeric vector indicating which selections (rows) of 'X' should be tailored.
Default is NULL
. Ignored when the process is resumed. This can be useful when combined
with filtersels
) output (see 'index' argument in filtersels
).
Numeric. Set of levels used to partition the amplitude range (see
spectro
).
Character vector with the names of the columns to be included in the title for each selection.
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.
data frame similar to X with the and a .csv file saved in the working directory with start and end time of selections.
This function produces an interactive spectrographic
view in which users can select new time/frequency
coordinates the selections. 4 "buttons" are provided at the upper right side of the spectrogram that
allow to stop the analysis ("stop"), go to the next sound file ("next"), return to the
previous selection ("previous") or delete
the current selection ("delete"). When a unit has been selected, the function plots
dotted lines in the start and end of the selection in the spectrogram (or a box if
frange = TRUE
). Only the last selection is kept for each
selection that is adjusted. The function produces a .csv file (contour_tailor_output.csv)
with the same information than the input data frame, except for the new time
coordinates, plus a new column (X$tailored) indicating if the selection
has been tailored. The file is saved in the working directory and is updated every time the user
moves into the next sound file (next sel "button") or stop the process
(Stop "button"). It also return the same data frame as and object in the R environment.
If no selection is made (by clicking on the 'next' button) the
original time/frequency coordinates are kept. When resuming the process (after "stop" and re-running
the function in the same working directory), the function will continue working on the
selections that have not been analyzed. The function also displays a progress bar right on
top of the sepctrogram.
The zoom can be adjusted by setting the mar
argument.
# NOT RUN {
#Set temporary working directory
# setwd(tempdir())
data(list = c("Phae.long1", "Phae.long2", "Phae.long3", "Phae.long4", "selec.table"))
writeWave(Phae.long1,"Phae.long1.wav")
writeWave(Phae.long2,"Phae.long2.wav")
writeWave(Phae.long3,"Phae.long3.wav")
writeWave(Phae.long4,"Phae.long4.wav")
contour_tailor(X = selec.table, flim = c(1,12), wl = 300, auto.next = TRUE)
# Read output .csv file
contour_tailor.df <- read.csv("contour_tailor_output.csv")
contour_tailor.df
# check this directory for .csv file after stopping function
getwd()
# }
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