Methods for Accessing Huge Amounts of Data [deprecated]

DEPRECATED. Do not start building new projects based on this package. Cross-platform alternatives are the following packages: bigmemory (CRAN), ff (CRAN), BufferedMatrix (Bioconductor). The main usage of it was inside the aroma.affymetrix package. (The package currently provides a class representing a matrix where the actual data is stored in a binary format on the local file system. This way the size limit of the data is set by the file system and not the memory.)


CRAN check status R CMD check status Coverage Status

R.huge: Methods for Accessing Huge Amounts of Data [deprecated]

Installation

R package R.huge is available on CRAN and can be installed in R as:

install.packages("R.huge")

Pre-release version

To install the pre-release version that is available in Git branch develop on GitHub, use:

remotes::install_github("HenrikBengtsson/R.huge", ref="develop")

This will install the package from source.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("R.huge")

0.10.1 by Henrik Bengtsson, 3 years ago


https://github.com/HenrikBengtsson/R.huge


Report a bug at https://github.com/HenrikBengtsson/R.huge/issues


Browse source code at https://github.com/cran/R.huge


Authors: Henrik Bengtsson [aut, cre, cph]


Documentation:   PDF Manual  


LGPL (>= 2.1) license


Imports R.methodsS3, R.oo, R.utils


Imported by aroma.apd.


See at CRAN