summaryPower {PROPER} | R Documentation

## Generate a summary table for power analysis result

### Description

Takes a result object from "comparePower" function and print out a table to summarize important power-related quantities. The results are marginalized, meaning that they are averaged quantities over all strata and simulations. This provides a quick view of the marginal results for power-related quantities under all sample sizes.

### Usage

    summaryPower(powerOutput)

### Arguments

`powerOutput` | The result object from "comparePower" function.

### Value

A matrix with multiple rows, each for a different sample size. Columns include sample size, specified nomial type I control value (for FDR or p-values), actual FDR, marginal power, averaged number of true and false discoveries, and false discovery costs.

### Author(s)

Hao Wu <hao.wu@emory.edu>

### See Also

runSims, comparePower

### Examples

    ## Not run:
    simOptions = RNAseq.SimOptions.2grp()
    simRes = runSims(Nreps=c(3,5,7), sim.opts=simOptions, nsims=5,
                     DEmethod="edgeR")
    powers = comparePower(simRes)
    summaryPower(powers)

    ## End(Not run)

[Package PROPER version 1.18.0 Index]