sgof (version 2.3)

summary.Binomial.SGoF: Summary of a Binomial.SGoF object

Description

Summary of the most important results given by the Binomial SGoF procedure.

Usage

# S3 method for Binomial.SGoF
summary(object, …)

Arguments

object

A Binomial.SGoF object.

…

Additional arguments affecting the summary produced.

Value

Rejections

The number of effects declared by the Binomial SGoF procedure .

FDR

The estimated false discovery rate.

Adjusted.pvalues

Table of adjusted p-values falling under gamma.

References

Carvajal Rodr<U+00ED>guez A, de U<U+00F1>a <U+00C1>lvarez J and Rol<U+00E1>n <U+00C1>lvarez E (2009). A new multitest correction (Binomial.SGoF) that increases its statistical power when increasing the number of tests. BMC Bioinformatics 10:209.

Castro Conde I and de U<U+00F1>a <U+00C1>lvarez J (2015). Adjusted p-values for SGoF multiple test procedure. Biometrical Journal; 57(1): 108-122. DOI: 10.1002/bimj.201300238

Dalmasso C, Broet P and Moreau T (2005) A simple procedure for estimating the false discovery rate. Bioinformatics 21:660--668

See Also

Binomial.SGoF,plot.Binomial.SGoF

Examples

# NOT RUN {


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

res<-Binomial.SGoF(p)
summary(res)   #number of rejected nulls, estimated FDR


# }