Function reference • squat

QTS Class

as_qts() is_qts() format(<qts>): QTS Class

centring(): QTS Centering and Standardization

plot(<qts>) autoplot(<qts>): QTS Visualization

QTS Sample Class

as_qts_sample() is_qts_sample() `[`(<qts_sample>): QTS Sample Class

append(): QTS Sample Concatenation

rnorm_qts(): QTS Random Sampling

scale(): QTS Sample Centering and Standardization

mean(<qts_sample>): QTS Geometric Mean

median(<qts_sample>): QTS Geometric Median

plot(<qts_sample>) autoplot(<qts_sample>): QTS Sample Visualization

QTS Wrangling

differentiate(): QTS Differentiation

straighten(): QTS Straightening

log(<qts>) log(<qts_sample>): QTS Logarithm

exp(<qts>) exp(<qts_sample>): QTS Exponential

reorient(): QTS Reorientation

normalize(): QTS Normalization

resample(): QTS Resampling

smooth(): QTS Smoothing via SLERP Interpolation

hemispherize(): QTS Hemispherization

moving_average(): QTS Moving Average

QTS Transformations

qts2dts(): QTS Transformation To Distance Time Series

qts2nts(): QTS Transformation To Norm Time Series

qts2ats(): QTS Transformation To Angle Time Series

qts2avts(): QTS Transformation to Angular Velocity Time Series

Principal Component Analysis

prcomp(<qts_sample>): PCA for QTS Sample

plot(<prcomp_qts>) autoplot(<prcomp_qts>) screeplot(<prcomp_qts>): QTS PCA Visualization

K-Means Alignment Clustering

kmeans(): QTS K-Means Alignment Algorithm

plot(<kma_qts>) autoplot(<kma_qts>): QTS K-Means Visualization

Distances

DTW(): Dynamic Time Warping for Quaternion Time Series

distDTW(): Distance Matrix for Quaternion Time Series Samples

Datasets

vespa: The VESPA dataset

vespa64: The VESPA64 dataset