ovlp_sels
finds which selections overlap in time within a given sound file.
ovlp_sels(X, index = FALSE, pb = TRUE, max.ovlp = 0, relabel = FALSE,
drop = FALSE, priority = NULL, priority.col = NULL, unique.labs = TRUE,
indx.row = FALSE, parallel = 1)
'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.
Logical. Indicates if only the index of the overlapping selections would be returned.
Default is FALSE
.
Logical argument to control progress bar and messages. Default is TRUE
.
Numeric vector of length 1 specifying the maximum overlap allowed (in seconds) . Default is 0.
Logical. If TRUE
then selections names (selec column) are reset.
Default is FALSE
.
Logical. If TRUE
, when 2 or more selections overlap the function will remove
all but one of the overlapping selection. Default is FALSE
.
Character vector. Controls the priority criteria used for removing overlapped selections. It
must list the levels of the column used to determine priority (argument priority.col) in the desired
priority order. Default is NULL
.
Character vector of length 1 with the name of the column use to determine the priority of
overlapped selections. Default is NULL
.
Logical to control if labels are reused across different sound files (if TRUE
, default).
Logical. If TRUE
then a character column with the indices of all selections that overlapped with
each selection is added to the ouput data frame (if index = TRUE
). For instance, if the selections in rows 1,2
and 3 all overlapped with each other, the 'indx.row' value would be "1/2/3" for all. However, if selection 3 only overlaps
with 2 but not with 1, then it returns, "1/2" for row 1, "1/2/3" for row 2, and "2/3" for row 3. Default is FALSE
.
Numeric. Controls whether parallel computing is applied. It specifies the number of cores to be used. Default is 1 (i.e. no parallel computing).
A data frame with the columns in X plus an additional column ('ovlp_sels') indicating
which selections overlap. The ones with the same number overlap with each other. If
drop = TRUE
only the non-overlapping selections are return. If 2 or more selections
overlap only the first one is kept.
This function detects selections within a selection table that overlap in time. Selections must be
listed in a data frame similar to selec.table
.
# NOT RUN {
{
#no overlap
ovlp_sels(X = selec.table)
# modified selec.table to make the first and second selection overlap
Y <- selec.table
Y$end[4] <- 1.5
ovlp_sels(X = Y)
# drop overlapping
ovlp_sels(X = Y, drop = TRUE)
# get index instead
ovlp_sels(X = Y, index = TRUE)
}
# }
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