dive_stats {tagtools} | R Documentation |
Compute summary statistics for dives or flights
Description
Given a depth/altitude profile and a series of dive/flight start and end times, compute summary dive statistics.
Usage
dive_stats(
P,
X = NULL,
dive_cues,
sampling_rate = NULL,
prop = 0.85,
angular = FALSE,
X_name = NULL,
na.rm = TRUE
)
Arguments
P |
Depth data. A vector (or one-column matrix), or a tag sensor data list. |
X |
(optional) Another data stream (as a vector (or a one-column matrix) or a tag sensor data list) for which to compute mean and variability. If |
dive_cues |
A two-column data frame or matrix with dive/flight start times in the first column and dive/flight end times in the second. May be obtained from |
sampling_rate |
(optional and ignored if |
prop |
The proportion of the maximal excursion to use for defining the "destination" phase of a dive or flight. For example, if |
angular |
Is X angular data? Defaults to FALSE. |
X_name |
A short name to use for X variable in the output data frame. For example, if X is pitch data, use X_name='pitch' to get outputs column names like mean_pitch, etc. Defaults to 'angle' for angular data and 'aux' for non-angular data. |
na.rm |
Logical, default is TRUE. If TRUE, then returned mean values ignore missing values, computing an average over all non-missing observations. |
Details
In addition to the maximum excursion and duration, dive_stats
divides each excursion into three phases:
"to" (descent for dives, ascent for flights), "from" (ascent for dives, descent for flights), and "destination".
The "destination" (bottom for dives and top for flights)
phase of the excursion is identified using a "proportion of maximum depth/altitude" method,
whereby for example the bottom phase of a dive lasts from the first to the last time the depth exceeds a stated proportion of the maximum depth.
Average vertical velocity is computed for the to and from phases using a simple method: total depth/altitude change divided by total time.
If an angular data variable is also supplied (for example, pitch, roll or heading),
then the circular mean (computed via circ.mean
) and variance (computed via circ.disp
and reporting the var
output)
are also computed for each dive phase and the dive as a whole.
Value
A data frame with one row for each dive/flight and columns as detailed below. All times are in seconds, and rates in units of x/sec where x is the units of P
.
-
max
The maximum depth or altitude -
st
start time of dive (seconds) - from input dive_cues -
et
end time of dive (seconds) - from input dive_cues -
dur
The duration of the excursion -
dest_st
The start time of the destination phase in seconds since start of tag recording (which is also the end time of to phase) -
dest_et
The end time of the destination phase in seconds since start of tag recording (which is also the start of the from phase). -
dest_dur
The duration in seconds of destination phase -
to_dur
The duration in seconds of to phase -
from_dur
The duration in seconds of from phase -
mean_angle
If angular=TRUE and X is input, the mean angle for the entire excursion. Values for each phase are also provided in columnsmean_to_angle
,mean_dest_angle
, andmean_from_angle
. -
angle_var
If angular=TRUE and X is input, the angular variance for the entire excursion. Values for each phase are also provided individually in columnsto_angle_var
,dest_angle_var
, andfrom_angle_var
. -
mean_aux
If angular=FALSE and X is input, the mean value of X for the entire excursion. Values for each phase are also provided in columnsmean_to_aux
,mean_dest_aux
, andmean_from_aux
. -
aux_sd
If angular=FALSE and X is input, the standard deviation of X for the entire excursion. Values for each phase are also provided individually in columnsto_aux_sd
,dest_aux_sd
, andfrom_aux_sd
.