getNetConsensus {netDx} | R Documentation

## compile net score across a set of predictor results

### Description

compile net score across a set of predictor results

### Usage

    getNetConsensus(scorelist)

### Arguments

`scorelist` | (list) key is dataset name, value is a data.frame containing PATHWAY_NAME and SCORE. This is the output of compileFeatureScores()

### Details

used to compare how individual nets score for different predictor configurations

### Value

(data.frame) Rownames are union of all nets in the input list. Columns show net scores for each key of the input list. Where a net is not found in a given list, it is assigned the value of NA

### Examples

    pathways <- paste("PATHWAY_",1:100,sep="")
    highrisk <- list()
    for (k in 1:10) {
    	highrisk[[k]] <- data.frame(PATHWAY_NAME=pathways,
    	SCORE=runif(length(pathways),min=0,max=10),
    			stringsAsFactors=FALSE);
    }
    names(highrisk) <- sprintf("Split%i",1:length(highrisk))
    x <- getNetConsensus(highrisk)

[Package netDx version 1.0.3 Index]