R: Many F-tests with really huge matrices

Many F-tests with really huge matrices {Rfast} | R Documentation

## Many F-tests with really huge matrices

### Description

Many F-tests with really huge matrices.

### Usage

    list.ftests(x, logged = FALSE)

### Arguments

`x` | A list with many big size matrices. Each element of the list contains a matrix. This is the `ftests` function but with really huge matrices, which cannot be loaded into R as a single matrix.
`logged` | Should the p-values be returned (FALSE) or their logarithm (TRUE)?

### Details

The Welch's F-test (without assuming equal variances) is performed just like in the "ftests" function. The difference is that you have a really huge matrix which you cannot load into R. In the "ftests" function, the argument "ina" denotes the different groups. Here, you "cut" the matrix into smaller ones, each of which denotes a different group and put them in a list.

### Value

A matrix with the test statistic and the p-value of each test.

### Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@yahoo.gr>.

### References

B.L. Welch (1951). On the comparison of several mean values: an alternative approach. Biometrika, 38(3/4), 330-336.

### See Also

`ftests, ttests`

### Examples

    x <- matrnorm(300, 500)
    ina <- rbinom(300, 2, 0.6) + 1
    a <- list()
    a[[ 1 ]] <- x[ina == 1, ]
    a[[ 2 ]] <- x[ina == 2, ]
    a[[ 3 ]] <- x[ina == 3, ]
    mod <- list.ftests(a)
    z <- NULL
    a <- NULL

[Package Rfast version 2.0.0 Index]