To install this package, start R and enter:

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

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

matter

 

   

A framework for rapid prototyping with binary data on disk

Bioconductor version: Release (3.4)

Memory-efficient reading, writing, and manipulation of structured binary data on disk as vectors, matrices, and arrays. This package is designed to be used as a back-end for Cardinal for working with high-resolution mass spectrometry imaging data.

Author: Kylie A. Bemis <k.bemis at northeastern.edu>

Maintainer: Kylie A. Bemis <k.bemis at northeastern.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("matter")

 

PDF R Script matter: Rapid prototyping with data on disk
PDF   Reference Manual
Text   NEWS

Details

biocViews Infrastructure, Software
Version 1.0.0
In Bioconductor since BioC 3.4 (R-3.3) (< 6 months)
License Artistic-2.0
Depends methods, stats, biglm
Imports BiocGenerics, irlba, S4Vectors, utils
LinkingTo
Suggests BiocStyle, Cardinal, testthat
SystemRequirements
Enhances
URL http://www.cardinalmsi.org
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source matter_1.0.0.tar.gz
Windows Binary matter_1.0.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) matter_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/matter/tree/release-3.4
Package Short Url http://bioconductor.org/packages/matter/
Package Downloads Report Download Stats

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