Man pages for astamm/squad
Statistics for Quaternion Temporal Data
| append | QTS Sample Concatenation |
| 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 |
| differentiate | QTS Differentiation |
| dist | QTS Distance Matrix Computation |
| dot-qts | Operator '-' for 'qts' Objects |
| DTW | Dynamic Time Warping for Quaternion Time Series |
| exp | QTS Exponential |
| hclust | QTS Hierarchical Agglomerative Clustering |
| hemispherize | QTS Hemispherization |
| inverse_qts | Inverse Operator for 'qts' Objects |
| kmeans | QTS K-Means Alignment Algorithm |
| log | QTS Logarithm |
| mean.qts_sample | QTS Geometric Mean |
| median.qts_sample | QTS Geometric Median |
| moving_average | QTS Moving Average |
| normalize | 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 |
| plus-.qts | Operator '+' for 'qts' 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 |
| resample | QTS Resampling |
| rnorm_qts | QTS Random Sampling |
| scale | QTS Sample Centering and Standardization |
| smooth | QTS Smoothing via SLERP Interpolation |
| straighten | QTS Straightening |
| times-.qts | Operator '*' for 'qts' Objects |
| vespa | The VESPA dataset |
| vespa64 | The VESPA64 dataset |
