Function reference • warbleR

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

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

sth_annotations: Example data frame of annotations from a Scale-throated hermit song (i.e. selection table).

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)