summaryROCPlot {MetaIntegrator}

Generate a plot with a summary ROC curve

Description

Generate a plot with a summary ROC curve

Usage

summaryROCPlot(metaObject, filterObject, bootstrapReps = 500,
  orderByAUC = TRUE, alphaBetaPlots = TRUE)

Arguments

metaObject

a Meta object which must have the $originalData populated

filterObject

a MetaFilter object containing the signature genes that will be used for calculating the score

bootstrapReps

number of bootstrap simulations to run for confidence interval on summary ROC

orderByAUC

if TRUE, then order legend by summary AUC. Otherwise, use default ordering.

alphaBetaPlots

if TRUE, then draw forest plots of alpha and beta. If false, suppress plotting.

Value

Generates a ROC plot for all datasets

Author(s)

Timothy E. Sweeney

Examples

## Not run: 
summaryROCPlot(tinyMetaObject,filterObject = 
   tinyMetaObject$filterResults$pValueFDR0.05_es0_nStudies1_looaTRUE_hetero0)

## End(Not run)