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 given data
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 variables
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
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
scree                   Pre-processing to generate scagnostic measures
top_pairs               Calculate the top scagnostic for each pair of
                        variables
top_scags               Calculate the top pair of variables or group
                        for each scagnostic
