Function reference • vaast

scagnostics and supporting functions These are the primary functions for computing scagnostics
`sc_clumpy()`	Compute clumpy scagnostic measure using MST
`sc_convex()`	Compute convex scagnostic measures
`sc_dcor()`	Distance correlation index.
`sc_monotonic()`	Measure of Spearman Correlation
`sc_outlying()`	Compute outlying scagnostic measure using MST
`sc_pairwise()`	Compute scagnostics on all possible scatter plots for the given data
`sc_skewed()`	Compute skewed scagnostic measure using MST
`sc_skinny()`	Compute convex scagnostic measures
`sc_sparse()`	Compute sparse scagnostic measure using MST
`sc_splines()`	Spline based index.
`sc_striated()`	Compute stirated scagnostic measure using MST
`sc_stringy()`	Compute stringy scagnostic measure using MST
`scree()`	Pre-processing to generate scagnostic measures
summary functions Functions to compute multiple scagnostics and summarise output
`calc_scags()`	Compute selected scagnostics on subsets
`sc_pairwise()`	Compute scagnostics on all possible scatter plots for the given data
data Sample data sets for illustration and testing
`numbat`	numbat data
`anscombe_tidy`	anscombe_tidy data
`datasaurus_dozen`	datasaurus_dozen data
`datasaurus_dozen_wide`	datasaurus_dozen_wide data

Reference