Perform.UnivROC: Perform Classical Univariate ROC

In xia-lab/MetaboAnalystR: An R Package for Comprehensive Analysis of Metabolomics Data

Perform Classical Univariate ROC

Description

Perform Classical Univariate ROC

Usage

Perform.UnivROC(mSetObj=NA, feat.nm, version, 
format="png", dpi=72, isAUC, isOpt, optMethod, isPartial, measure, cutoff)

Arguments

mSetObj	Input the name of the created mSetObj (see InitDataObjects)
feat.nm	Input the name of the feature to perform univariate ROC analysis
version	image version mark, can be any character
format	Select the image format, png, of pdf.
dpi	Input the dpi. If the image format is pdf, users need not define the dpi. For png images, the default dpi is 72. It is suggested that for high-resolution images, select a dpi of 300.
isAUC	Logical, select T to compute the 95 percent confidence interval band and "F" to not
isOpt	Logical, show the optimal cutoff, T to show it and F to not
optMethod	Select the optimal cutoff by using either closest.topleft for closest to top-left corner or youden for farthest to the diagonal line (Youden)
isPartial	Logical, input T to calculate a partial ROC curve, and F to not
measure	Select the parameter to limit the calculation of the partial ROC curve, se for the X-axis (maximum false-positive rate) and sp for the Y-axis, representing the minimum true positive-rate
cutoff	Input the threshold to limit the calculation of the partial ROC curve, the number must be between 0 and 1.

Author(s)

Jeff Xia [e-mail] McGill University, Canada License: GNU GPL (>= 2)

xia-lab/MetaboAnalystR documentation built on April 20, 2024, 8:13 p.m.