https://andrehdev.r-universe.devRecent package updates in andrehdevR-universehttps://github.com/andrehdev.pnghttps://andrehdev.r-universe.devFri, 11 Sep 2026 10:52:14 GMThimmelspach@med.uni-frankfurt.de (André Himmelspach)Identify the most relative data points by dividing a numeric data set into three classes A, B, and C, where class A items are the "import few", class C items are the "trivial many" with class B items being something in between, resembling the idea of the Pareto principle. This ABC classification is done using an ABC curve, which plots cumulative "Yield" against "Effort", similar to a Lorenz curve. Class borders are then precisely mathematically defined on that curve, aiding in interpretation. Based on: Ultsch A, Lotsch J (2015) "Computed ABC Analysis for rational Selection of most informative Variables in multivariate Data". PLoS ONE 10(6): e0129767. <doi:10.1371/journal.pone.0129767>.https://github.com/r-universe/andrehdev/actions/runs/38131950192Fri, 11 Sep 2026 10:52:14 GMTcABCanalysis1.0.2successhttps://andrehdev.r-universe.devhttps://github.com/andrehdev/cabc_analysis