sgof (version 2.0.2)

summary.BBSGoF: Summary of a BBSGoF object

Description

Summary of the most important results given by the BBSGoF procedure.

Usage

## S3 method for class 'BBSGoF':
summary(object,\dots)

Arguments

object

A BBSGoF object.

...

Additional arguments affecting the summary produced.

Value

• Rejections
  The number of effects declared by BB-SGoF with automatic k.
• FDR
  The estimated false discovery rate.
• Adjusted.pvalues
  Table of adjusted p-values falling under gamma.
• Tarone.pvalue.auto
  The p-values of Tarone’s test for the automatic k.
• beta.parameters
  The estimated parameters of the Beta(a,b) model for the automatic k.
• betabinomial.parameters
  The estimated parameters of the Betabinomial(p,ro) model for the automatic k.
• sd.betabinomial.parameters
  The standard deviation of the estimated parameters of the Betabinomial(p,ro) model for the automatic k.
• automatic.blocks
  The automatic number of blocks.

encoding

UTF-8

References

Dalmasso C, Broet P and Moreau T (2005) A simple procedure for estimating the false discovery rate. Bioinformatics 21:660--668 de Uña Álvarez J (2012). The Beta-Binomial SGoF method for multiple dependent tests. Statistical Applications in Genetics and Molecular Biology, Vol. 11, Iss. 3, Article 14.

See Also

BBSGoF,plot.BBSGoF

Examples

p<-runif(387)^2  #387 p-values, intersection null violated

res<-BBSGoF(p)
summary(res)    #automatic number of blocks, number of rejected nulls, 
		#estimated FDR, beta and beta-binomial parameters,
		#Tarone test of no correlation