| qts_sample {squat} | R Documentation |
QTS Sample Class
Description
A collection of functions that implements the QTS sample class. It currently
provides the as_qts_sample() function for QTS sample coercion of lists of
qts objects, the is_qts_sample() function for checking if an object
is a QTS sample and the subset operator.
Usage
as_qts_sample(x)
is_qts_sample(x)
## S3 method for class 'qts_sample'
x[i, simplify = FALSE]
Arguments
x |
A list of |
i |
A valid expression to subset observations from a QTS sample. |
simplify |
A boolean value specifying whether the resulting subset
should be turned into a single QTS in case the subset is of size 1.
Defaults to |
Details
A QTS sample is a collection of quaternion time series (QTS), each of which
is stored as a tibble::tibble with 5 columns:
-
time: A first column specifying the time points at which quaternions were collected; -
w: A second column specifying the first coordinate of the collected quaternions; -
x: A third column specifying the second coordinate of the collected quaternions; -
y: A fourth column specifying the third coordinate of the collected quaternions; -
z: A fifth column specifying the fourth coordinate of the collected quaternions.
Value
An object of class qts_sample.
Examples
x <- vespa64$igp
y <- as_qts_sample(x)
is_qts_sample(x)
is_qts_sample(y)
x[1]
x[1, simplify = TRUE]