Man pages for cassowaryr
Compute Scagnostics on Pairs of Numeric Variables in a Data Set
| anscombe_tidy | Data from Anscombe's famous example in tidy format |
| calc_scags | Compute selected scagnostics on subsets |
| calc_scags_wide | Compute scagnostics on all possible scatter plots for the... |
| datasaurus_dozen | datasaurus_dozen data |
| draw_alphahull | Drawing the alphahull |
| draw_convexhull | Drawing the Convex Hull |
| draw_mst | Drawing the MST |
| features | Simulated data with special features |
| numbat | A toy data set with a numbat shape hidden among noise... |
| pk | Parkinsons data from UCI machine learning archive |
| sc_clumpy | Compute clumpy scagnostic measure using MST |
| sc_clumpy2 | Compute adjusted clumpy measure using MST |
| sc_clumpy_r | Compute robust clumpy scagnostic measure using MST |
| sc_convex | Compute convex scagnostic measure |
| sc_dcor | Distance correlation index. |
| sc_monotonic | Measure of Spearman Correlation |
| sc_outlying | Compute outlying scagnostic measure using MST |
| scree | Pre-processing to generate scagnostic measures |
| sc_skewed | Compute skewed scagnostic measure using MST |
| sc_skinny | Compute skinny scagnostic measure |
| sc_sparse | Compute sparse scagnostic measure using MST |
| sc_sparse2 | Compute adjusted sparse measure using the alpha hull |
| sc_splines | Spline based index. |
| sc_striated | Compute striated scagnostic measure using MST |
| sc_striated2 | Compute angle adjusted striated measure using MST |
| sc_stringy | Compute stringy scagnostic measure using MST |
| sc_striped | Measure of Discreteness |
| top_pairs | Calculate the top scagnostic for each pair of variables |
| top_scags | Calculate the top pair of variables or group for each... |
