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yihongfa-ai

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• 8 hours ago last updated

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   Exploratory R Analysis · yihongfa-ai bundle

   Exploratory R analysis for raw local datasets before a formal design is fixed. Use when data, measurement, variable roles, hypotheses, or methods are uncertain and Codex should inspect/clean data, infer candidate roles, map statistical/econometric/network/time-series/QCA/interpretable-ML models, consider DAGs for causal-control questions, produce notebooks under notebooks/exploratory, R/Quarto/QMD files, 300 dpi TIF figures, Chinese Markdown reports, and Obsidian backups. Project reuse is same-skill only: same data used with exploratory-r-analysis and ssci-r-analysis-writing are separate projects.
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   Ssci R Analysis Writing · yihongfa-ai bundle

   Formal reproducible R analysis and SSCI Methods/Results writing for local quantitative datasets. Use when the user provides raw data plus measurement/codebook information, planned analysis method or variable roles/hypotheses/RQs, and needs folders, formal R models, transparent specification exploration, three-line tables, 300 dpi TIF figures, notebooks, Quarto/QMD files, Excel/codebook handling, English Word Methods/Results, Chinese Markdown reports, Obsidian backups, and routed support skills for econometrics, causal DAGs, figures, documents, and reproducibility. Project reuse is same-skill only: same data used with exploratory-r-analysis and ssci-r-analysis-writing are separate projects.
   0 installs