ttestFun {marray} | R Documentation

## A function that calculates the t-statistics of each gene in a multi-slide microarray experiment.

### Description

Returns a function that calculate `t.test`.

### Usage

    ttestFun(y = NULL, var.equal = FALSE, alternative = c("two.sided", "less", "greater"), na.rm = TRUE)

### Arguments

`y` | vector of class labels. Must consist of integers 1 and 2.
`var.equal` | a logical variable indicating whether to treat the two variances as being equal. If `TRUE' then the pooled variance is used to estimate the variance otherwise the Welch approximation to the degrees of freedom is used.
`alternative` | a character string specifying the alternative hypothesis, must be one of `"two.sided"' (default), `"greater"' or `"less"'. You can specify just the initial letter.
`na.rm` | If TRUE, the NA's are omit from the analysis.

### Value

Returns a function that performs `t.test`.

### Author(s)

Yee Hwa (Jean) Yang

### See Also

`t.test`

### Examples

    x <- rnorm(10)
    y <- ttestFun()
    y(x)

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