plotPredPwr: Observe Predicted Power Within Different LFC Scales
In PowerExplorer: Power Estimation Tool for RNA-Seq and proteomics data

Description Usage Arguments Value Examples

With a complete power list and LFC list returned from predictPower, power estimates can be observed dynamically within specified LFC ranges.

1	plotPredPwr(inputObject, minLFC, maxLFC, LFCscale = 1)

`inputObject`	a result container object `PowerExplorerStorage`
`minLFC`	default as 0, the left edge of the LFC range within which genes will be included in the graph.
`maxLFC`	default as NA (the maximun value in data will be used) the right edge of the LFC range within which genes will be included in the graph.
`LFCscale`	the size of each unit when segmenting predicted power by LFC

plot(s) of power density under multiple sample sizes

# load an example onject containing
# predicted power under different sample sizes
data(exampleObject)
plotPredPwr(exampleObject)
plotPredPwr(exampleObject)
#It is possible to observe power trend in different scales and ranges of LFCs
plotPredPwr(exampleObject, minLFC=0, maxLFC=2, LFCscale=0.5)