transposedata: Interchanging the Row and Column Variables in Transposable...

In HDTD: Statistical Inference about the Mean Matrix and the Covariance Matrices in High-Dimensional Transposable Data (HDTD)

Description

This function interchanges the row and column variables in transposable data so that the original row variables will be treated as column variables and the original column variables as row variables.

Usage

transposedata(datamat, N)

Arguments

datamat	numeric matrix containing the transposable data.
N	positive integer number indicating the sample size, i.e., the number of subjects.

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 with ncol(datamat) rows and nrow(datamat)/N columns.

Author(s)

Anestis Touloumis

See Also

centerdata and orderdata.

Examples

data(VEGFmouse)
## Transposing the VEGF dataset.
VEGFtr <- transposedata(datamat = VEGFmouse, N = 40)

HDTD documentation built on Nov. 8, 2020, 8:25 p.m.