Ranks, Ties, and Percentile Rank
Install and import#
npm install fintech-algorithmsimport { ranksTiesAndPercentileRank } from "fintech-algorithms/financial-mathematics-statistics-and-data-foundations/location-ranking-and-exploratory-summaries/ranks-ties-and-percentile-rank";Signature#
ranksTiesAndPercentileRank(input)Worked example#
verified This is the worked example published in the article, replayed by the test suite on every run. The output cannot drift.
Input#
{
"values": [1, 2, 2, 4, 9],
"weights": [1, 1, 2, 1, 1],
"trimProportion": 0.2,
"bins": 4
}Call#
ranksTiesAndPercentileRank(input)Returns#
object with 2 fields: ranks, percentileRanks
{
"ranks": [1, 2.5, 2.5, 4, 5],
"percentileRanks": [0, 37.5, 37.5, 75, 100]
}Diagrams#
How it works#
This page states the contract — how to call it correctly. The article explains the concept: why it works, and where it breaks.
References#
- rankdata
- Historical-example decision