comp.F: Computing F-statistic for Differential Expression
In DEDS: Differential Expression via Distance Summary for Microarray Data

Description Usage Arguments Value Author(s) See Also Examples

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.

1	comp.F(L = NULL)

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

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.

Yuanyuan Xiao, yxiao@itsa.ucsf.edu,
Jean Yee Hwa Yang, jeany@maths.usyd.edu.au.

comp.FC, comp.t

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)