R: Compute Scagnostics on Pairs of Numeric Variables in a Data Set

# Compute Scagnostics on Pairs of Numeric Variables in a Data Set

## Documentation for package ‘cassowaryr’ version 2.0.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

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
datasaurus_dozen_wide | 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
scree | Pre-processing to generate scagnostic measures
sc_clumpy | Compute clumpy scagnostic measure using MST
sc_clumpy.default | Compute clumpy scagnostic measure using MST
sc_clumpy.igraph | Compute clumpy scagnostic measure using MST
sc_clumpy.scree | Compute clumpy scagnostic measure using MST
sc_clumpy2 | Compute adjusted clumpy measure using MST
sc_clumpy2.default | Compute adjusted clumpy measure using MST
sc_clumpy2.igraph | Compute adjusted clumpy measure using MST
sc_clumpy2.scree | Compute adjusted clumpy measure using MST
sc_clumpy_r | Compute robust clumpy scagnostic measure using MST
sc_clumpy_r.default | Compute robust clumpy scagnostic measure using MST
sc_clumpy_r.igraph | Compute robust clumpy scagnostic measure using MST
sc_clumpy_r.scree | Compute robust clumpy scagnostic measure using MST
sc_convex | Compute convex scagnostic measure
sc_convex.default | Compute convex scagnostic measure
sc_convex.list | Compute convex scagnostic measure
sc_convex.scree | Compute convex scagnostic measure
sc_dcor | Distance correlation index.
sc_monotonic | Measure of Spearman Correlation
sc_outlying | Compute outlying scagnostic measure using MST
sc_outlying.default | Compute outlying scagnostic measure using MST
sc_outlying.igraph | Compute outlying scagnostic measure using MST
sc_outlying.scree | Compute outlying scagnostic measure using MST
sc_skewed | Compute skewed scagnostic measure using MST
sc_skewed.default | Compute skewed scagnostic measure using MST
sc_skewed.igraph | Compute skewed scagnostic measure using MST
sc_skewed.scree | Compute skewed scagnostic measure using MST
sc_skinny | Compute skinny scagnostic measure
sc_skinny.default | Compute skinny scagnostic measure
sc_skinny.list | Compute skinny scagnostic measure
sc_skinny.scree | Compute skinny scagnostic measure
sc_sparse | Compute sparse scagnostic measure using MST
sc_sparse.default | Compute sparse scagnostic measure using MST
sc_sparse.igraph | Compute sparse scagnostic measure using MST
sc_sparse.scree | Compute sparse scagnostic measure using MST
sc_sparse2 | Compute adjusted sparse measure using the alpha hull
sc_sparse2.default | Compute adjusted sparse measure using the alpha hull
sc_sparse2.list | Compute adjusted sparse measure using the alpha hull
sc_sparse2.scree | Compute adjusted sparse measure using the alpha hull
sc_splines | Spline based index.
sc_striated | Compute striated scagnostic measure using MST
sc_striated.default | Compute striated scagnostic measure using MST
sc_striated.igraph | Compute striated scagnostic measure using MST
sc_striated.scree | Compute striated scagnostic measure using MST
sc_striated2 | Compute angle adjusted striated measure using MST
sc_striated2.default | Compute angle adjusted striated measure using MST
sc_striated2.igraph | Compute angle adjusted striated measure using MST
sc_striated2.scree | Compute angle adjusted striated measure using MST
sc_stringy | Compute stringy scagnostic measure using MST
sc_stringy.default | Compute stringy scagnostic measure using MST
sc_stringy.igraph | Compute stringy scagnostic measure using MST
sc_stringy.scree | 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 scagnostic