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QTS Transformation To Norm Time Series

Source: R/qts-transformations.R
qts2nts.Rd

This function computes a univariate time series representing the norm of the quaternions.

Usage

qts2nts(x, disable_normalization = FALSE)

Arguments

x

An object of class qts.

disable_normalization

A boolean specifying whether quaternion normalization should be disabled. Defaults to FALSE.

Value

A time series stored as a tibble::tibble with columns time and norm in which norm measures the angular distance between the current quaternion and the identity.

Examples

qts2nts(vespa64$igp[[1]])
#> # A tibble: 101 × 2
#>     time  norm
#>    <int> <dbl>
#>  1     0 0.214
#>  2     1 0.203
#>  3     2 0.191
#>  4     3 0.178
#>  5     4 0.167
#>  6     5 0.157
#>  7     6 0.147
#>  8     7 0.140
#>  9     8 0.132
#> 10     9 0.125
#> # ℹ 91 more rows