MCpAUCboot: mcpAUCboot

Description Usage Arguments Value Examples

Description

Calculates the confidence interval using a boot analysis

Usage

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mcpAUCboot(
  dataset,
  low.value = NULL,
  up.value = NULL,
  r = 50,
  level = 0.95,
  type.interval = "perc",
  selection = NULL,
  variable = NULL
)

Arguments

dataset

dataframe or RangedSummarizedExperiment objetc

low.value

lower false positive rate value that the function will use to calculate the pAUC

up.value

upper false positive rate value that the function will use to calculate the pAUC

r

number of iterations.

level

confidence level

type.interval

String that represent the type of intervals required. The value should be any subset of the values c("norm","basic", "stud", "perc", "bca") or simply "all" which will compute all five types of intervals.

selection

vector that will only be used if the parameter "dataset" is a RangedSummarizedExperiment object. This parameter is used to select the variables that will be analysed

variable

in case that dataset is a SummarizedExperiment, indicate the Gold Standard

Value

SummarizedExperiment object with the mcpAUC, the standard desviation, and the lower and upper limits of the confidence interval.

Examples

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library(fission)
data("fission")
resultsMCboot <- mcpAUCboot(fission,low.value = 0, up.value = 0.25,
selection = c("SPNCRNA.1080","SPAC186.08c"), variable="strain")

juanpegarcia/ROCpAI documentation built on June 3, 2021, 5:42 a.m.