Why this guide exists | Quick start: bring your own coordinates with as_factoextra_pca() | The two-layer architecture | The standardized return contract | Step 1 — Teach .get_facto_class() your class | Step 2 — Teach get_eig() your eigenvalues | Step 3 — Teach the get_*() extractor(s) | PCA | CA (and the mass helper you must not forget) | MCA | A complete worked example: ExPosition | A forward-looking template: vegan (RDA / CCA) | Testing your backend | Submitting a backend: checklist

Log-rank statistic for 2 groups | Weighted Log-rank extensions | Why are they useful? | Plots | Log-rank (survdiff) | Log-rank (weighted) | Gehan-Breslow (generalized Wilcoxon) | Tharone-Ware | Peto-Peto's modified survival estimate | modified Peto-Peto's (by Andersen) | Fleming-Harrington (p=1, q=1) | References

Motivation | Example | Comparisons | base package

Introduction | Load required R packages | Compute a Cox model with interaction terms

Survival plot | Basic | Customized | Risk table | ncens plot | Notes