someMTP (version 1.4.1)

someMTP.object class: Class "someMTP.object" for storing the result of the function fdrOrd

Description

The class someMTP.object is the output of a call to fdrOrd. It also stores the information needed for related plots.

Slots

rej:

a logical vector indicating whenever the related hypotesis have been rejected.

p:

The vector of (raw) p-values used in the procedure.

ord:

The vector used to sort the p-values (decreasing).

idOrd:

The vector of indices used in sorting.

MTP:

The type of procedure used.

GD:

A logical value incating if the correction for General Dependence have been used or not.

q:

The level of contrelled FDR when MTP=="fdrOrd".

k:

The number of false rejection when MTP=="kfweOrd"

J:

The number of allowed Jumps when MTP=="kfweOrd"

alpha:

The significance level when MTP=="kfweOrd"

alphaprime:

The significance level of individual tests.

call:

The cal that generates the object.

Methods

show

someMTP.object: Prints the test results.

summary

someMTP.object: Prints the test results (as show).

draw

someMTP.object: Plots results; what = c("all","ordVsP", "stepVsR")

sort

signature(x = "someMTP.object"): Sorts the p-values to decreasing order of ord.

length

signature(x = "someMTP.object"): The number of tests performed.

names

signature(x = "someMTP.object"): Extracts the row names of the results matrix.

names<-

signature(x = "someMTP.object"): Changes the row names of the results matrix. Duplicate names are not allowed, but see alias.

See Also

someMTP.object

Examples

    # Simple examples with random data
    set.seed(17)
	x=matrix(rnorm(60),3,20)
	x[,1:10]=x[,1:10]+2 ##variables 1:10 have tests under H1
	ts=apply(x,2,function(x) t.test(x)$statistic)
	ps=apply(x,2,function(x) t.test(x)$p.value)
	m2=apply(x^2,2,mean)
	pOrd <- fdrOrd(ps,q=.05,ord=m2)
	pOrd
    length(pOrd)
	names(pOrd) <- paste("V",1:20,sep="")
	names(pOrd)