GSAfisher.summary {GSAfisherCombined}

GSAfisher.summary

Description

Summary method of GSAfisher function that computes a numerical summary of the marginal p-values.

Usage

## S3 method for class 'summary'
GSAfisher(x,...)

Arguments

x

Numeric set of marginal p-values (one vector or a sinlge p-value).

...

Further arguments passed to or from other methods.

Value

summary.p

Summary statistics (min, 1st quantile, median, 3rd quantile, max) of a numerical set of marginal p-values.

Author(s)

Carlos Garcia Prieto

Examples

#Generate 1000 random values from an Uniform distribution U (0, 0.25). 
x<-runif(1000, 0, 0.25)
#Set data class to "summary"
class(x)<-"summary"
#Apply the GSAfisher.summary function to this data vector.
GSAfisher(x)