split.scores: split.scores

In npetraco/fdrID: Computes local false discovery rate probabilities using JAGS, Stan and code from Efron, Turnbull and Narasimhan locfdr

Description

Split a set of scores into null and non-null sets

Usage

## S3 method for class 'scores'
split(score.mat, lbls)

Arguments

score.mat	A matrix of null (non-match) and non-null (match) scores.
lbls	Correct ID labels.

Details

Split a set of scores into null (non-match) and non-null (match) sets. NOTE: One non-null score is assumed per row in score.mat

Value

a list of null and non-null scores

Examples

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npetraco/fdrID documentation built on May 23, 2019, 9:33 p.m.