summary.BBSGoF: Summary of a BBSGoF object

In sgof: Multiple Hypothesis Testing

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,...)

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.

Author(s)

Irene Castro Conde and Jacobo de Uña Álvarez

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 

sgof documentation built on Sept. 8, 2023, 5:34 p.m.