fastt: A C-implementation of two-sample t-test for matrix data.
In fhlsjs/Super-delta: Super-delta-sequence method

Description Usage Arguments Details Value Author(s) See Also Examples

A convenient function to replace fastT() or rowttest() from genefilter package. Only Student's two sample t-test is implemented in the current version.

1	fastt(X, classlabel)

`X`	A data frame or matrix, with p rows corresponding to variables (hypotheses) and n columns to observations. In the case of gene expression data, rows correspond to genes and columns to mRNA samples. The data can be read using `read.table`.
`classlabel`	A vector of integers corresponding to observation (column) class labels. For k classes, the labels must be integers between 0 and k-1. We only implemented two-sample test as of 08/01/2015.

Some details.

A vector of two-sample t-statistics

Xing Qiu, Yuhang Liu, Jinfeng Zhang

t.test

## The Golub data.  On my computer, it takes about 3 seconds to run, YMMV.
## The result is a data.frame with two columns: teststat and rawp.

data(golub)
classlabel<-golub.cl
system.time(tvec1 <- fastt(golub, classlabel))

## You can try the standard t.test(). It is much slower.
## Not run: system.time(tvec2 <- apply(golub, 1, function(x) t.test(x~classlabel, var.equal=TRUE)$statistics))