fn_registry/functions/datascience/percentile_int64.md

name, kind, lang, domain, version, purity, signature, description, tags, uses_functions, uses_types, returns, returns_optional, error_type, imports, params, output, tested, tests, test_file_path, file_path, source_repo, source_license, source_file

name	kind	lang	domain	version	purity	signature	description	tags	uses_functions	uses_types	returns	returns_optional	error_type	imports	params	output	tested	tests	test_file_path	file_path	source_repo	source_license	source_file
percentile_int64	function	go	datascience	1.0.0	pure	func Percentile(sorted []int64, p float64) int64	Calcula el percentil p (0.0-1.0) de un slice de int64 pre-ordenado ascendente. Retorna 0 para slice vacio. idx = int(float64(len-1)*p), clamped a [0, len-1].	statistics percentile quantile int64 sorted				false			name desc sorted Slice de int64 pre-ordenado en orden ascendente. No se reordena internamente. name desc p Percentil a calcular, en rango [0.0, 1.0]. 0.5 = mediana, 0.9 = P90, 0.99 = P99.	El valor en la posicion del percentil p dentro del slice. Retorna 0 si el slice esta vacio.	true	slice vacio retorna cero un solo elemento retorna ese elemento p0 retorna minimo p100 retorna maximo p50 retorna mediana de cinco elementos p90 de diez elementos usa idx int truncado p99 de slice pequeno usa idx truncado a cero	functions/datascience/percentile_int64_test.go	functions/datascience/percentile_int64.go	https://github.com/egutierrez/fn_registry/apps/kanban	private	apps/kanban/backend/metrics.go

Ejemplo

sorted := []int64{10, 20, 30, 40, 50}
p50 := Percentile(sorted, 0.5) // 30
p90 := Percentile(sorted, 0.9) // 50
p99 := Percentile(sorted, 0.99) // 50

Notas

El input debe estar ordenado ascendente antes de llamar a esta funcion. DurationStatsFrom se encarga de ordenar antes de llamarla. Extraido de apps/kanban/backend/metrics.go:99-111.