CreateCylinders.delay: n.cylinders=10000 takes around 3 hours for the whole dataset,...

In mcavallaro/rancovr: Cluster detection in R with RAndom Neighbourhood COVeRing

n.cylinders=10000 takes around 3 hours for the whole dataset, to end up with 300 non-empty cylinders observation.matrix and baseline.matrix have dimension This function scans the matrices -1 in observation.matrix index means that we are excluding from week NA

Description

n.cylinders=10000 takes around 3 hours for the whole dataset, to end up with 300 non-empty cylinders observation.matrix and baseline.matrix have dimension This function scans the matrices -1 in observation.matrix index means that we are excluding from week NA

Usage

CreateCylinders.delay(
  observation.matrix.typed,
  baseline.matrix.typed,
  observation.matrix.untyped,
  baseline.matrix.untyped,
  emmtype,
  week.range,
  n.cylinders = 1000,
  p.val.threshold = 0.05,
  coord.df = postcode2coord,
  GT = 24,
  size_factor = 1,
  rho
)

Arguments

observation.matrix.untyped	A 2D matrix.
baseline.matrix.untyped	A 2D matrix.
week.range	A numeric vector to set the lower and upper limit to the heigh of the cylinders.
n.cylinders	An integer, total number of drawn cylinders.
p.val.threshold	A numeric. If the probability of observed exceedance is < p.val.threshold, flag the cylinder as anomalous.
size_factor	A numeric multiplier to increase or reduce the cylinder heights and radia.

mcavallaro/rancovr documentation built on April 17, 2025, 7:21 p.m.