getPermROC: getPermROC

In plger/iPSCpoweR: iPSCpoweR: transcriptomics-based evaluation of experimental designs for iPSC disease modeling

Description

Plots the ROC curve of permutation DEAs results

Usage

getPermROC(
  permResults,
  minPts = 100,
  qprobs = c(0.05, 0.95),
  main = NULL,
  col = "blue",
  type = "b",
  lty = 1,
  add = F,
  lwd = 2,
  showAUC = !add,
  returnCoords = FALSE,
  pch = 1,
  ncores = 1
)

Arguments

permResults	Either the results of the 'DEA.permutateIndividuals' or 'DEA.permutateClones' function, or a character vector of length 1 indicating the files in which such an object was saved.
minPts	Integer>0 indicating the minimum approximative number of points over which to plot the curve (default 100). Higher values produce a higher resolution plot, but will take longer to run.
qprobs	Numeric vector of length 2 indicating the probabilities for the confidence interval (default 'c(0.05,0.95)'). Set to NA to disable.
main	Plot title (default "ROC Curve")
col	Color (default blue)
type	Plot type (default 'both')
lty	Line type (default 1)
add	Logical; whether to add the curve on an existing plot (default FALSE)
showAUC	Logical; whether to display the area under the curve (default TRUE, unless add=TRUE)
returnCoords	Logical; whether to return the point coordinates instead of plotting them (default FALSE)
ncores	Integer; number of cores to use (default 1)

Value

Produces a plot, or returns a list with the slots 'sens' and 'spec' if returnCoords=TRUE.

plger/iPSCpoweR documentation built on Feb. 2, 2022, 1:37 a.m.