detectXOR-package: XOR Pattern Detection and Visualization

In detectXOR: XOR Pattern Detection and Visualization

XOR Pattern Detection and Visualization

Description

Provides tools for detecting XOR-like patterns in variable pairs in two-class data sets. Includes visualizations for pattern exploration and reporting capabilities with both text and HTML output formats.

Details

Core Features:

1. Statistical detection using chi-square tests and Kendall's tau

2. Spaghetti plots and xy plot for pattern visualization

Main Functions:

• detect_xor: Core detection algorithm

• generate_spaghetti_plot_from_results: Line plots

• generate_xy_plot_from_results: Plot for pattern visualization

Author(s)

Jorn Lotsch <[e-mail]>

References

Methodological foundations:

• Pattern detection in machine learning

• Statistical dependency measures (Kendall's tau)

See Also

Useful links:

• https://github.com/JornLotsch/detectXOR

• Report bugs at https://github.com/JornLotsch/detectXOR/issues

Related packages:

• DescTools for statistical tests

• ggh4x for advanced plotting

• future for parallel processing

Examples

# Basic workflow with included dataset
data(XOR_data)

# Detect XOR patterns
results <- detect_xor(XOR_data, class_col = "class")

# Generate visualizations
generate_spaghetti_plot_from_results(
  results$results_df,
  XOR_data,
  class_col = "class"
)

generate_xy_plot_from_results(
  results$results_df,
  XOR_data,
  class_col = "class"
)

detectXOR documentation built on June 28, 2025, 1:08 a.m.