meanmat.ts {HDTD} | R Documentation

## Nonparametric Tests for the Mean Matrix

### Description

This function performs hypothesis testing for the mean matrix.

### Usage

    meanmat.ts(datamat, N, group.sizes, voi = "columns")

### Arguments

`datamat` | numeric matrix containing the transposable data.
`N` | positive integer number indicating the sample size, i.e., the number of subjects.
`group.sizes` | numeric vector indicating the group sizes under the null hypothesis.
`voi` | character indicating if the test will be applied to the row or column variables. Options include '`rows`' or '`columns`'.

### Details

It is assumed that there are `nrow(datamat)` row variables and `ncol(datamat)`/`N` column variables in `datamat`. Further, `datamat` should be written in such a way that every `ncol(datamat)`/`N` consecutive columns belong to the same subject and the order of the column variables in each block is preserved across subjects.

### Value

Returns a list with components:

`statistic` | the value of the test statistic.
`p.value` | the corresponding p-value.
`voi` | the set of variables that the test was applied to.
`n.groups` | the number of groups under the null hypothesis.
`group.sizes` | the size of each group under the null hypothesis.
`N` | the sample size.
`n.rows` | the number of row variables.
`n.cols` | the number of column variables.

### Author(s)

Anestis Touloumis

### References

Touloumis, A., Tavare, S. and Marioni, J. C. (2015) Testing the Mean Matrix in High-Dimensional Transposable Data. Biometrics 71, 157–166.

### Examples

    data(VEGFmouse)
    ## Testing conservation of the overall gene expression across tissues.
    tissues_mean_test <- meanmat.ts(datamat = VEGFmouse, N = 40, group.sizes = 9)
    tissues_mean_test
    ## Testing if the adrenal and the cerebrum tissues have the same mean vector.
    test2 <- meanmat.ts(VEGFmouse, N = 40, group.sizes = c(2, rep(1,7)))
    test2

[Package HDTD version 1.24.0 Index]