egutierrez
cfdf515228
- .claude/CLAUDE.md - .claude/commands/subagentes.md - .claude/rules/INDEX.md - .mcp.json - bash/functions/cybersecurity/analyze_dns.md - bash/functions/cybersecurity/audit_http_headers.md - bash/functions/cybersecurity/audit_ssh_config.md - bash/functions/cybersecurity/check_firewall.md - bash/functions/cybersecurity/detect_suspicious_users.md - bash/functions/cybersecurity/encrypt_file.md - ... Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
1.0 KiB
1.0 KiB
name, kind, lang, domain, version, purity, signature, description, tags, uses_functions, uses_types, returns, returns_optional, error_type, imports, params, output, tested, tests, test_file_path, file_path
| name | kind | lang | domain | version | purity | signature | description | tags | uses_functions | uses_types | returns | returns_optional | error_type | imports | params | output | tested | tests | test_file_path | file_path | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pearson | function | py | datascience | 1.0.0 | pure | def pearson(xs: list, ys: list) -> float | Calcula el coeficiente de correlacion de Pearson entre dos listas de floats. |
|
false |
|
|
coeficiente de correlacion de Pearson en rango [-1, 1]. 1.0=correlacion perfecta positiva, -1.0=negativa, 0.0=sin correlacion | false | python/functions/datascience/datascience.py |
Ejemplo
r = pearson([1, 2, 3], [2, 4, 6])
# r = 1.0
Notas
Usa solo math stdlib. No requiere numpy. Retorna 0.0 si las listas tienen longitud diferente, estan vacias, o la desviacion es cero.