count_all_edge_crossings: Count Edge Crossings for All Numeric Column Pairs

In ggEDA: Turnkey Visualisations for Exploratory Data Analysis

Count Edge Crossings for All Numeric Column Pairs

Description

Computes the total number of edge crossings between all pairs of numeric columns in a given dataset.

Usage

count_all_edge_crossings(
  data,
  approximate = FALSE,
  subsample_prop = 0.4,
  recalibrate = FALSE
)

Arguments

data	A data.frame or tibble containing the dataset. Only numeric columns are considered for edge crossing calculations.
approximate	estimate crossings based on a subsample of the data. See subsample_prop for details.
subsample_prop	only used when approximate = TRUE. If 0-1, controls the proportion of data to be sampled to speed up computation. If a whole number other than 0 or 1, represents the number of rows subsampled
recalibrate	when approximating crossings via subsetting, should number of crossings calculated for the subsample be upscaled to match the full count. (turned off by default since it amplifies sampling error).

Details

The function:

1. Filters the input data to retain only numeric columns.

2. Computes all possible pairs of numeric columns.

3. Uses count_edge_crossings() to calculate crossings for each pair.

4. Returns the results in a summarized data frame.

Value

A data.frame with three columns:

col1

The name of the first column in the pair.

col2

The name of the second column in the pair.

crossings

Total number of edge crossings for that pair.

ggEDA documentation built on Sept. 9, 2025, 5:45 p.m.