transposedata

numeric matrix containing the transposable data.


datamat

positive integer number indicating the sample size, i.e., the number of subjects.



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.


Characterization of intra-individual variability using physiologically relevant measurements provides important insights into fundamental biological questions ranging from cell type identity to tumor development. For each individual, the data measurements can be written as a matrix with the different subsamples of the individual recorded in the columns and the different phenotypic units recorded in the rows. Datasets of this type are called high-dimensional transposable data. The HDTD package provides functions for conducting statistical inference for the mean relationship between the row and column variables and for the covariance structure within and between the row and column variables.

Anestis Touloumis

HDTD

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

transposedata function

numeric matrix containing the transposable data.

positive integer number indicating the sample size, i.e., the number of subjects.

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.

transposedata: Interchanging the Row and Column Variables in Transposable Data

Description

Usage

Arguments

Value

Details

See Also

Examples