qvalue (version 2.4.2)

hist.qvalue: Histogram of p-values

Description

Histogram of p-values

Usage

## S3 method for class 'qvalue':
hist(x, ...)

Arguments

x

A q-value object.

...

Additional arguments, currently unused.

Value

• Nothing of interest.

Details

This function allows one to view a histogram of the p-values along with line plots of the q-values and local FDR values versus p-values. The $\pi_0$ estimate is also displayed.

References

Storey JD. (2002) A direct approach to false discovery rates. Journal of the Royal Statistical Society, Series B, 64: 479-498. http://onlinelibrary.wiley.com/doi/10.1111/1467-9868.00346/abstract

Storey JD and Tibshirani R. (2003) Statistical significance for genome-wide experiments. Proceedings of the National Academy of Sciences, 100: 9440-9445. http://www.pnas.org/content/100/16/9440.full

Storey JD. (2003) The positive false discovery rate: A Bayesian interpretation and the q-value. Annals of Statistics, 31: 2013-2035. http://projecteuclid.org/DPubS/Repository/1.0/Disseminate?view=body&id=pdf_1&handle=euclid.aos/1074290335

conservative point estimation, and simultaneous conservative consistency of false discovery rates: A unified approach. Journal of the Royal Statistical Society, Series B, 66: 187-205. http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9868.2004.00439.x/abstract

Storey JD. (2011) False discovery rates. In International Encyclopedia of Statistical Science. http://genomine.org/papers/Storey_FDR_2011.pdf http://www.springer.com/statistics/book/978-3-642-04897-5

See Also

qvalue, plot.qvalue, summary.qvalue

Examples

# import data
data(hedenfalk)
p <- hedenfalk$p

# make histogram
qobj <- qvalue(p)
hist(qobj)