orderdata {HDTD} | R Documentation

## Reordering Row and Column Variables

### Description

This utility function rearranges the row and/or the column variables in a desired order.

### Usage

    orderdata(datamat, N, order.rows = NULL, order.cols = NULL)

### Arguments

`datamat` | numeric matrix containing the transposable data.
`N` | positive integer number indicating the sample size, i.e., the number of subjects.
`order.rows` | numeric vector displaying the desired order of the row variables.
`order.cols` | numeric vector displaying the desired order of the column variables.

### 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 matrix of the same size as `datamat`.

### Author(s)

Anestis Touloumis

### See Also

`meanmat.ts` and `meanmat.hat`.

### Examples

    data(VEGFmouse)
    set.seed(1)
    tissuesold <-  colnames(VEGFmouse[ ,1:9])
    ## Suppose that you want to order the tissues in the folowing order.
    tissuesnew <- colnames(VEGFmouse[ ,1:9])[sample(9)]
    tissuesnew
    ## To do this, create a numeric vector with the desired order.
    ordtis <- pmatch(tissuesnew, tissuesold)
    VEGFmousenew <- orderdata(datamat = VEGFmouse, N = 40, order.cols = ordtis)
    colnames(VEGFmousenew)[1:9]

[Package HDTD version 1.26.0 Index]