QQP {EBSeq} | R Documentation

## The Quantile-Quantile Plot to compare the empirical q's and simulated q's from fitted beta distribution

### Description

'QQP' gives the Quantile-Quantile Plot to compare the empirical q's and simulated q's from fitted beta distribution.

### Usage

    QQP(EBOut, GeneLevel = F)

### Arguments

`EBOut` | The output of EBTest or EBMultiTest.
`GeneLevel` | Indicate whether the results are from data at gene level.

### Value

For data with n1 conditions and n2 uncertainty groups, n1*n2 plots will be generated. Each plot represents a subset of the data.

### Author(s)

Ning Leng

### References

Ning Leng, John A. Dawson, James A. Thomson, Victor Ruotti, Anna I. Rissman, Bart M.G. Smits, Jill D. Haag, Michael N. Gould, Ron M. Stewart, and Christina Kendziorski. EBSeq: An empirical Bayes hierarchical model for inference in RNA-seq experiments. Bioinformatics (2013)

### See Also

EBTest, EBMultiTest, DenNHist

### Examples

    data(GeneMat)
    GeneMat.small = GeneMat[c(500:1000),]
    Sizes = MedianNorm(GeneMat.small)
    EBOut = EBTest(Data = GeneMat.small,
    	Conditions = as.factor(rep(c("C1","C2"), each=5)),
    	sizeFactors = Sizes, maxround = 5)
    par(mfrow=c(2,2))
    QQP(EBOut)

[Package EBSeq version 1.26.0 Index]