To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("HDTD")

In most cases, you don't need to download the package archive at all.

HDTD

 

   

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

Bioconductor version: Release (3.5)

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.

Author: Anestis Touloumis, John C. Marioni and Simon Tavare

Maintainer: Anestis Touloumis <A.Touloumis at brighton.ac.uk>

Citation (from within R, enter citation("HDTD")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("HDTD")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("HDTD")

 

PDF R Script HDTD to Analyze High-Dimensional Transposable Data
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, GeneExpression, Genetics, Microarray, Sequencing, Software, StatisticalMethod
Version 1.10.0
In Bioconductor since BioC 3.0 (R-3.1) (2.5 years)
License GPL-3
Depends
Imports stats
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source HDTD_1.10.0.tar.gz
Windows Binary HDTD_1.10.0.zip
Mac OS X 10.11 (El Capitan) HDTD_1.10.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/HDTD/tree/release-3.5
Package Short Url http://bioconductor.org/packages/HDTD/
Package Downloads Report Download Stats

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