Benchmark Execution Times for Epidemic Forest Comparison Tests

A benchmark dataset containing execution times in seconds for the t test and PERMANOVA, comparing two epidemic forests with 100 trees and 100 vertices each. The dataset was created by Cyril Geismar and last updated on June 1, 2026. Each test used 999 permutations or Monte Carlo replicates and was replicated 100 times per method.

Use Cases

• Benchmarking computational performance of permutation tests based on the described scaling with tree count (m) and vertices (n).
• Comparing the runtime efficiency of the t test and PERMANOVA methods for forest similarity based on the provided algorithmic complexity analysis.
• Validating theoretical time complexity models (e.g., O(mn^2) for t test) using empirical execution time data.

Strengths

• Benchmark parameters are explicitly defined: 100 trees, 100 vertices, 999 permutations/replicates, and 100 replications per method.
• The dataset is licensed under CC-BY-4.0, permitting open sharing and adaptation.
• The description provides a detailed theoretical analysis of computational scaling for both tests.

Limitations

• The dataset is extremely small (916.0 B), indicating it likely contains only summary results, not raw computational traces.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for statistical analysis.

Provenance

Source

figshare, authored by Cyril Geismar.

Collection Method

Likely generated from computational experiments comparing two statistical tests on simulated epidemic forests.

Freshness

Last updated 2026-06-01 17:54:26; freshness should be verified.