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All functions

a2pr()
Pitch and roll from acceleration
absorption()
Calculates the absorption coefficient for sound in seawater
acc_wgs84()
Calculate total acceleration
add_nc()
Save an item to a NetCDF or add one tag sensor or metadata variable to a NetCDF archive file.
apply_cal()
Implement a calibration on tag sensor data
beaked_whale
Set of sensor lists for a beaked_whale
block_acf()
Compute autocorrelation function
block_mean()
Compute mean of sample blocks
block_rms()
Compute RMS of sample blocks
body_axes()
Generate the cardinal axes of an animal
buffer()
Buffers a signal vector into matrix
check_AM()
Compute field intensity of tag acceleration and magnetometer data.
cline()
Add colored line segments to a plot
col_line()
Plot coloured line(s) in 2 dimensions
col_line3()
Plot coloured line(s) in 3 dimensions with plot_ly
comp_filt()
Complementary filtering of a signal.
crop()
Interactive data cropping tool.
crop_all()
Reduce the time span of a dataset
crop_to()
Reduce the time span of data
csv2struct()
Read tag metadata from csv
decdc()
Reduce the sampling rate
decz()
Decimate sampling rate recursively.
depth2pressure()
Convert depth to pressure
depth_rate()
Estimate the vertical velocity
detect_peaks()
Detect peaks in signal vector data
dive_stats()
Compute summary statistics for dives or flights
draw_axis()
Draw time axis on plott plot.
dsf()
Estimate the dominant stroke frequency
euler2rotmat()
Make a rotation (or direction cosine) matrix
extract()
Extract a sub-sample of data
extract_cues()
Extract multiple sub-samples of data
find_dives()
Find time cues for dives
fir_nodelay()
Delay-free filtering
fit_tracks()
Integrate track with reference positions
fix_offset_3d()
Estimate the offset in each axis
fix_pressure()
Correct a depth or altitude profile
get_researcher()
Find matching researcher in a list of known tag researchers
get_species()
Find matching species in a list of marine mammals
harbor_seal
Set of sensor lists for a harbor seal
hilbert_env()
Compute the envelope of X using Hilbert transform. Compute the envelope of the signal matrix X using the Hilbert transform. To avoid long transforms, this function uses the overlap and add method.
hilbert_transform()
Return the Hilbert transform of a signal
htrack()
Simple horizontal dead-reckoned track
image_irreg()
Plot an image with an irregular grid.
inclination()
Estimate the inclination angle
interp2length()
Interpolate regularly sampled data to increase its sampling rate and match its length to another variable.
interp_nan()
Remove NAs from sensor data and return indices of (rows of) filled values
inv_axis()
Identify invariant axis in triaxial movement measurements.
julian_day()
Convert between dates and Julian day numbers.
lalo2llf()
Convert latitude-longitude track points into a local level frame
load_nc()
Load a tag dataset from a netCDF file.
m2h()
Heading from accelerometer and magnetometer data
m_dist()
Calculate Mahalanobis distance
make_info()
Make an info structure with tag metadata
make_specgram()
Plot a spectrogram with default settings
mean_absorption()
Calculate the mean absorption in salt water
median_filter()
Computes the nth-order median filter
merge_fields()
Merge the fields of two lists
metadata_editor()
Edits a html file from given csv.
msa()
Compute MSA
njerk()
Compute the norm-jerk
norm2()
Compute the row-wise vector norm
ocdr()
Estimate the forward speed
odba()
Compute ODBA
plott()
Plot tag data time series
prh_predictor1()
Predict the tag position on a diving animal from depth and acceleration data
prh_predictor2()
Predict the tag position on a diving animal from depth and acceleration data
ptrack()
Estimate simple dead-reckoned track
read_cats()
Read a CATS data file and convert to .nc
read_cats_csv()
Read a CSV file with sensor data from a CATS tag
rotate_data()
Rotate data.
rotate_vecs()
Rotate triaxial vector measurements
rotation_test()
Carry out a rotation randomization test.
rotmat2euler()
Decompose a rotation (or direction cosine) matrix
rough_cal_3d()
Estimate scale factors and offsets
save_nc()
Save a tag dataset to a netCDF file.
sens_struct()
Generate a sensor structure from a sensor data vector or matrix.
smooth()
Low pass filter a time series
sound_speed()
Sound speed estimation
spectrum_level()
Compute the spectrum level of a signal x.
speed_from_depth()
Estimate the forward speed of a diving animal
spherical_cal()
Deduce the calibration constants
tag2animal()
Tag-frame to animal-frame conversion
tortuosity()
Measure tortuosity index
track3D()
Reconstruct a track from pitch, heading and depth data, given a starting position
undo_cal()
Undo calibrations steps
zero_crossings()
Find zero-crossings in a vector