Statistics for Quaternion Temporal Data


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Documentation for package ‘squat’ version 0.3.0

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*.qts Operator '*' for 'qts' Objects
+.qts Operator '+' for 'qts' Objects
-.qts Operator '-' for 'qts' Objects
append QTS Sample Concatenation
append.default QTS Sample Concatenation
append.qts_sample QTS Sample Concatenation
as_qts QTS Class
as_qts_sample QTS Sample Class
autoplot.prcomp_qts Plot for 'prcomp_qts' objects
autoplot.qts Plot for 'qts' objects
autoplot.qtsclust Plot for 'qtsclust' objects
autoplot.qts_sample Plot for 'qts_sample' objects
centring QTS Centering and Standardization
dbscan QTS Nearest-Neighbor Clustering
dbscan.default QTS Nearest-Neighbor Clustering
dbscan.qts_sample QTS Nearest-Neighbor Clustering
differentiate QTS Differentiation
differentiate.qts QTS Differentiation
differentiate.qts_sample QTS Differentiation
dist QTS Distance Matrix Computation
dist.default QTS Distance Matrix Computation
dist.qts_sample QTS Distance Matrix Computation
DTW Dynamic Time Warping for Quaternion Time Series
exp QTS Exponential
exp.qts QTS Exponential
exp.qts_sample QTS Exponential
format.qts QTS Class
hclust QTS Hierarchical Agglomerative Clustering
hclust.default QTS Hierarchical Agglomerative Clustering
hclust.qts_sample QTS Hierarchical Agglomerative Clustering
hemispherize QTS Hemispherization
hemispherize.qts QTS Hemispherization
hemispherize.qts_sample QTS Hemispherization
inverse_qts Inverse Operator for 'qts' Objects
is_qts QTS Class
is_qts_sample QTS Sample Class
kmeans QTS K-Means Alignment Algorithm
kmeans.default QTS K-Means Alignment Algorithm
kmeans.qts_sample QTS K-Means Alignment Algorithm
log QTS Logarithm
log.qts QTS Logarithm
log.qts_sample QTS Logarithm
mean.qts_sample QTS Geometric Mean
median.qts_sample QTS Geometric Median
moving_average QTS Moving Average
moving_average.qts QTS Moving Average
moving_average.qts_sample QTS Moving Average
normalize QTS Normalization
normalize.qts QTS Normalization
normalize.qts_sample QTS Normalization
plot.prcomp_qts Plot for 'prcomp_qts' objects
plot.qts Plot for 'qts' objects
plot.qtsclust Plot for 'qtsclust' objects
plot.qts_sample Plot for 'qts_sample' objects
prcomp.qts_sample PCA for QTS Sample
predict.prcomp_qts Predict QTS from PCA decomposition
qts QTS Class
qts2aats QTS Transformation to Angle-Axis Time Series
qts2ats QTS Transformation To Angle Time Series
qts2avts QTS Transformation to Angular Velocity Time Series
qts2dts QTS Transformation To Distance Time Series
qts2nts QTS Transformation To Norm Time Series
qts_sample QTS Sample Class
reorient QTS Reorientation
reorient.qts QTS Reorientation
reorient.qts_sample QTS Reorientation
resample QTS Resampling
resample.qts QTS Resampling
resample.qts_sample QTS Resampling
rnorm_qts QTS Random Sampling
scale QTS Sample Centering and Standardization
scale.default QTS Sample Centering and Standardization
scale.qts_sample QTS Sample Centering and Standardization
screeplot.prcomp_qts Plot for 'prcomp_qts' objects
smooth QTS Smoothing via SLERP Interpolation
smooth.default QTS Smoothing via SLERP Interpolation
smooth.qts QTS Smoothing via SLERP Interpolation
smooth.qts_sample QTS Smoothing via SLERP Interpolation
straighten QTS Straightening
straighten.qts QTS Straightening
straighten.qts_sample QTS Straightening
vespa The VESPA dataset
vespa64 The VESPA64 dataset
[.qts_sample QTS Sample Class