QQP: The Quantile-Quantile Plot to compare the empirical q's and...

Description Usage Arguments Value Author(s) References See Also Examples

Description

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

Usage

1
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

1
2
3
4
5
6
7
8
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)


Search within the EBSeq package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.