ROCstatistics: ROC statistics

In jvanheld/stats4bioinfo: Utilities for the book "Statistics for bioinformatics"

Description

Compute the statistics required to draw a ROC curve, + some additional validation statistics

Usage

ROCstatistics(neg.scores, pos.scores, neg.total = length(neg.scores),
  pos.total = length(pos.scores), sort.decreasing = FALSE)

Arguments

neg.scores	vector of scores obtained with the truly negative cases
pos.scores	vector of scores obtained with the truly positive cases
neg.total=length(neg.scores)	total number of negative cases
pos.total=length(pos.scores)	total number of positive cases
sort.decreasing=FALSE	Indicate whether the score should be sorted by decreasing order (this option should be used when lower scores are considered to be more significant, e.g. P-value, E-value, FDR).

Details

First version: 2015-04 Last modification: 2015-04

Author(s)

Jacques van Helden ([e-mail])

jvanheld/stats4bioinfo documentation built on May 20, 2019, 5:16 a.m.