aggregateFun {DEDS} | R Documentation |

## Aggregate Statistical Functions for DEDS

### Description

This function takes statistic functions and creates a
function that takes a matrix as a single argument. The statisic
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
correspondign to variables (hypotheses) and *n* columns
corresponding to specified statistics.

### Author(s)

Yuanyuan Xiao, yxiao@itsa.ucsf.edu,

Jean Yee Hwa Yang, jean@biostat.ucsf.edu.

### 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)

[Package

*DEDS* version 1.0.3

Index]