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R packages for dimensionality reduction. Use for PCA, t-SNE, UMAP, and other dimension reduction methods.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
R language data analysis and visualization skill. Use when user asks to (1) run R scripts or code, (2) install/update R packages, (3) perform data analysis with R, (4) create visualizations with ggplot2/plotly, (5) statistical analysis, (6) data manipulation with tidyverse/dplyr/data.table. Triggers on keywords like "R语言", "R脚本", "ggplot", "tidyverse", "数据分析", "可视化".
R DALEX package for model explanations. Use for explaining complex machine learning models.
R iml package for interpretable ML. Use for model-agnostic interpretability methods.
R lime package for local explanations. Use for explaining individual predictions with local interpretable models.
R packages for ML interpretability. Use for explaining and interpreting machine learning models.
R vip package for variable importance. Use for computing and visualizing variable importance scores.
| name | r-ml-dimensionality |
| description | R packages for dimensionality reduction. Use for PCA, t-SNE, UMAP, and other dimension reduction methods. |
Reduce data dimensions while preserving structure.
| Package | Purpose |
|---|---|
| stats | PCA (prcomp, princomp) |
| Rtsne | t-SNE |
| umap | UMAP |
| irlba | Fast SVD/PCA |
