Package index
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as_qts()is_qts()format(<qts>)print(<qts>) - QTS Class
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centring() - QTS Centering and Standardization
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autoplot(<qts>) - Plot for
qtsobjects
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plot(<qts>) - Plot for
qtsobjects
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`+`(<qts>) - Operator
+forqtsObjects
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`-`(<qts>) - Operator
-forqtsObjects
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`*`(<qts>) - Operator
*forqtsObjects
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inverse_qts() - Inverse Operator for
qtsObjects
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as_qts_sample()is_qts_sample()`[`(<qts_sample>) - QTS Sample Class
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append() - QTS Sample Concatenation
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rnorm_qts() - QTS Random Sampling
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scale() - QTS Sample Centering and Standardization
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mean(<qts_sample>) - QTS Geometric Mean
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median(<qts_sample>) - QTS Geometric Median
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autoplot(<qts_sample>) - Plot for
qts_sampleobjects
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plot(<qts_sample>) - Plot for
qts_sampleobjects
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differentiate() - QTS Differentiation
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straighten() - QTS Straightening
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log(<qts>)log(<qts_sample>) - QTS Logarithm
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exp(<qts>)exp(<qts_sample>) - QTS Exponential
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reorient() - QTS Reorientation
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normalize() - QTS Normalization
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resample() - QTS Resampling
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smooth() - QTS Smoothing via SLERP Interpolation
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hemispherize() - QTS Hemispherization
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moving_average() - QTS Moving Average
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qts2dts() - QTS Transformation To Distance Time Series
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qts2aats() - QTS Transformation to Angle-Axis Time Series
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qts2nts() - QTS Transformation To Norm Time Series
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qts2ats() - QTS Transformation To Angle Time Series
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qts2avts() - QTS Transformation to Angular Velocity Time Series
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qts2rpyts() - QTS Transformation to Roll-Pitch-Yaw Time Series
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prcomp(<qts_sample>) - PCA for QTS Sample
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predict(<prcomp_qts>) - Predict QTS from PCA decomposition
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autoplot(<prcomp_qts>) - Plot for
prcomp_qtsobjects
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plot(<prcomp_qts>)screeplot(<prcomp_qts>) - Plot for
prcomp_qtsobjects
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kmeans() - QTS K-Means Alignment Algorithm
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hclust() - QTS Hierarchical Agglomerative Clustering
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dbscan() - QTS Nearest-Neighbor Clustering
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autoplot(<qtsclust>) - Plot for
qtsclustobjects
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plot(<qtsclust>) - Plot for
qtsclustobjects