DEDS (version 1.46.0)

comp.F: Computing F-statistic for Differential Expression

Description

comp.F returns a function of one argument with bindings for L. This function accepts a microarray data matrix as its single argument, when evaluated, computes F statistics for each row of the matrix.

Usage

comp.F(L = NULL)

Arguments

L

A vector of integers corresponding to observation (column) class labels. For $k$ classes, the labels must be integers between 0 and $k-1$.

Value

comp.F returns a function with bindings for L, which calculates and returns of vector of F statistics for each row in the data matrix.

See Also

comp.FC, comp.t

Examples

X <- matrix(rnorm(1000,0,0.5), nc=10)
L <- rep(0:1,c(5,5))

# genes 1-10 are differentially expressed
X[1:10,6:10]<-X[1:10,6:10]+1

# two sample test, unequal variance
F <- comp.F(L)
f.X <- F(X)