aggregateFun: Aggregate Statistical Functions for DEDS

In DEDS: Differential Expression via Distance Summary for Microarray Data

Description

This function takes statistic functions and creates a function that takes a matrix as a single argument. The statistic functions are bound in the environment of the returned function and are applied sequentially to the argument of the returned function.

Usage

aggregateFun(...)

Arguments

...	Functions of various statistics, could be in a list.

Details

The function takes several statistics functions or a list of these functions and returns a function (F) with bindings to the input statistics functions. F takes a data matrix as its single argument, and apply the bound statistical functions sequentially to the data matrix.

Value

It returns a function that takes a matrix as its single argument. The function returns a matrix of statistics, with m rows corresponding to variables (hypotheses) and n columns corresponding to specified statistics.

Author(s)

Yuanyuan Xiao, [e-mail],
Jean Yee Hwa Yang, [e-mail].

See Also

comp.t, comp.FC, comp.F, comp.SAM, comp.modt, comp.modF, comp.B

Examples

X <- matrix(rnorm(100, 0, 1), nc=10)
L <- rep(0:1,c(5,5))
t.fun <- comp.t(L)
fc.fun <- comp.FC(L)
sam.fun <- comp.SAM(L)
ffun <- aggregateFun(list(t.fun, fc.fun, sam.fun))
stats <- ffun(X)

DEDS documentation built on Oct. 31, 2019, 3:15 a.m.