largestContinuousMinimumC: largestContinuousMinimumC
In penaltyLearning: Penalty Learning

largestContinuousMinimumC

R Documentation

largestContinuousMinimumC

Description

Find the run of minimum cost with the largest size. This function use a linear time C implementation, and is meant for internal use. Use targetIntervals for real data.

Usage

largestContinuousMinimumC(cost, 
    size)

Arguments

`cost`	numeric vector of `cost` values.
`size`	numeric vector of interval `size` values.

Value

Integer vector length 2 (start and end of target interval relative to cost and size).

Author(s)

Toby Dylan Hocking <toby.hocking@r-project.org> [aut, cre]

Examples


library(penaltyLearning)
data(neuroblastomaProcessed, envir=environment())
one.problem.error <-
  neuroblastomaProcessed$errors[profile.id=="4" & chromosome=="1"]
indices <- one.problem.error[, largestContinuousMinimumC(
  errors, max.log.lambda-min.log.lambda)]
one.problem.error[indices[["start"]]:indices[["end"]],]

penaltyLearning documentation built on Oct. 2, 2024, 9:09 a.m.