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All functions

auto_detec()
auto_detec automatically detects the start and end of vocalizations in sound files based on amplitude, duration, and frequency range attributes.
by_element_est()
Convert a by-song extended selection table to by-element
catalog()
Create catalogs of vocal signals
catalog2pdf()
Combine catalog images into pdfs
check_sels()
Check selection data frames
check_sound_files()
Check sound files
color_spectro()
Highlight spectrogram regions
comp_matrix
Example matrix listing selections to be compared by cross_correlation
compare_methods()
Assessing the performance of acoustic distance measurements
consolidate()
Consolidate (sound) files into a single directory
cross_correlation()
Time-frequency cross-correlation
duration_sound_files()
Measure the duration of sound files
envelope()
Calculates the absolute amplitude envelope
filter_sels()
Subset selection data frames based on manually filtered image files
find_clipping()
Find clipped selections
find_peaks()
Find cross-correlation peaks
fix_extended_selection_table()
Fix extended selection tables
fix_wavs()
Fix .wav files to allow importing them into R
freq_DTW()
Acoustic dissimilarity using dynamic time warping on dominant frequency contours
freq_range()
Detect frequency range iteratively
freq_range_detec()
Detect frequency range on wave objects
freq_ts()
Extract frequency contours as time series
full_spectrogram2pdf()
full_spectrogram2pdf combines full_spectrograms images in .jpeg format to a single pdf file.
full_spectrograms()
Create long spectrograms of entire sound files
gaps()
Gap duration
image_to_wave()
Convert images into wave objects
inflections()
Count number of inflections in a frequency contour
info_sound_files()
Get sound file parameter information
is_extended_selection_table()
Class 'extended_selection_table': selection table containing wave objects
is_selection_table()
Class 'selection_table': double-checked frequency/time coordinates of selections
lbh_selec_table
Example data frame of selections (i.e. selection table).
lbh_selec_table2
Example data frame of selections (i.e. selection table).
map_xc()
Maps of 'Xeno-Canto' recordings by species
mfcc_stats()
Calculate descriptive statistics on Mel-frequency cepstral coefficients
move_images()
Move/copy image files between directories
mp32wav()
Convert .mp3 files to .wav
multi_DTW()
A wrapper on dtwDist for comparing multivariate contours
new_function_names
Data frame detailing function name changes
open_wd()
Open working directory
overlapping_sels()
Find overlapping selections
phylo_spectro()
Add spectrograms onto phylogenetic trees
plot_coordination()
Coordinated singing graphs
query_xc()
Access 'Xeno-Canto' recordings and metadata
read_sound_file()
An extended version of read_wave that reads several sound file formats and files from selection tables
read_wave()
A wrapper for tuneR's readWave that read sound files listed within selection tables
remove_channels()
Remove channels in wave files
remove_silence()
Remove silence in wave files
rename_est_waves()
Rename wave objects and associated metadata in extended selection tables
resample_est()
Resample wave objects in a extended selection table
selec.table
Alternative name for lbh_selec_table
selection_table()
Create 'selection_table' and 'extended_selection_table' objects
sig2noise()
Measure signal-to-noise ratio
sim_coor_sing
Simulated coordinated singing events.
simulate_songs()
Simulate animal vocalizations
snr_spectrograms()
Spectrograms with background noise margins
song_analysis()
Calculates acoustic parameters at the song level
sort_colms()
Sort columns in a more intuitive order
sound_pressure_level()
Measure relative sound pressure level
spectro_analysis()
Measure acoustic parameters in batches of sound files
spectrograms()
Spectrograms of selected signals
split_sound_files()
Splits sound files
tailor_sels()
Interactive view of spectrograms to tailor selections
test_coordination()
Randomization test for singing coordination
track_freq_contour()
Spectrograms with frequency measurements
try_na()
Wrapper for "try" function
tweak_spectro()
Plot a mosaic of spectrograms with varying display parameters
warbleR_options()
Setting warbleR options
wav_2_flac()
Convert .wav files to .flac
wpd_features()
Measure wavelet packet decomposition features (EXPERIMENTAL)