pair_scagnostics: Graph-theoretic scagnostics values

In bullseye: Visualising Multiple Pairwise Variable Correlations and Other Scores

Graph-theoretic scagnostics values

Description

Calculates scagnostic values for every numeric variable pair in a dataset.

Usage

pair_scagnostics(
  d,
  scagnostic = c("Outlying", "Skewed", "Clumpy", "Sparse", "Striated", "Convex",
    "Skinny", "Stringy", "Monotonic"),
  handle.na = TRUE,
  ...
)

Arguments

d	A dataframe
scagnostic	a character vector for the scagnostic to be calculated. Subset of "Outlying", "Stringy", "Striated", "Clumpy", "Sparse", "Skewed", "Convex", "Skinny" or "Monotonic"
handle.na	If TRUE uses pairwise complete observations.
...	other arguments

Details

The scagnostic values are calculated using scagnostics function from the scagnostics package.

Value

A tibble of class pairwise with scagnostic values for every numeric variable pair, or NULL if there are not at least two numeric variables

References

Wilkinson, Leland, Anushka Anand, and Robert Grossman. "Graph-theoretic scagnostics." Information Visualization, IEEE Symposium on. IEEE Computer Society, 2005

Examples

 pair_scagnostics(iris)

bullseye documentation built on Sept. 11, 2024, 9:24 p.m.