Rosetta-Routine: Mapping of Statistical Measures to Cluster Generator Arguments

A 5.5 KB Excel file maps traditional descriptive statistical measures to conversion methods used by the Rosetta-Routine modeling algorithm. The mapping is intended to acquire information from unknown data and define corresponding cluster generator argument variables. Author Bradley Mason last updated the file on May 29, 2026, and it is shared under a CC-BY-4.0 license.

Use Cases

• Configure cluster generator arguments based on the mapping of statistical measures.
• Understand the conversion methods used by the Rosetta-Routine algorithm to process unknown data.
• Reference the relationship between descriptive statistics and algorithm parameters for modeling.

Strengths

• File size is precisely 5.5 KB, indicating a concise, focused mapping.
• License is explicitly CC-BY-4.0, permitting broad reuse with attribution.
• Has a specific last updated timestamp of 2026-05-29 17:44:18.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Bradley Mason via figshare

Freshness

Last updated 2026-05-29 17:44:18; freshness should be verified.