penaltyLearning (version 2020.5.13)

largestContinuousMinimumC: 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).

Examples

# NOT RUN {
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"]],]

# }