Cooccur

C 68 completed
Other
unknown / r · tiny
23
Files
2,768
LOC
0
Frameworks
2
Languages

Pipeline State

completed
Run ID
#1537399
Phase
done
Progress
0%
Started
2026-04-16 18:07:11
Finished
2026-04-16 18:07:11
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
About: code-quality intelligence by Repobility · https://repobility.com

AI Prompt

Create an R function called `cooccurrence` that builds co-occurrence networks from various data formats. It should support six different input formats and allow users to specify eight different similarity measures and eight scaling methods. The function must return a tidy edge data frame with columns for `from`, `to`, `weight`, and `count`. I also want it to seamlessly convert the results to `igraph`, `tidygraph`, `cograph`, and `Nestimate` objects. Please include examples demonstrating its use with delimited fields and multi-column delimited data.
r statistics network-analysis bibliometrics data-science
Generated by gemma4:latest

Catalog Information

Create an R function called cooccurrence that builds co-occurrence networks from various data formats. It should support six different input formats and allow users to specify eight different similarity measures and eight scaling methods. The function must return a tidy edge data frame with columns for from, to, weight, and count. I also want it to seamlessly convert the results to igraph, tidygraph, cograph, and Nestimate objects. Please include examples demonstrating its use

Tags

r statistics network-analysis bibliometrics data-science

Quality Score

C
68.3/100
Structure
66
Code Quality
58
Documentation
55
Testing
70
Practices
78
Security
100
Dependencies
50

Strengths

  • Good test coverage (67% test-to-source ratio)
  • Good security practices — no major issues detected
  • Properly licensed project

Weaknesses

  • No CI/CD configuration — manual testing and deployment

Recommendations

  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency

Languages

r
78.1%
markdown
21.9%

Frameworks

None detected

Quality Timeline

1 quality score recorded.

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