Methods for accessing huge amounts of data [DEPRECATED]
THIS PACKAGE HAS BEEN DEPRECATED. Do not start building
new projects based on it. 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.)

THIS PACKAGE HAS BEEN DEPRECATED. Do not start building
new projects based on it. 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.)

THIS PACKAGE HAS BEEN DEPRECATED. Do not start building new projects based on it. 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.)

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.)

Read and write of MAT files together with R-to-Matlab connectivity
This package provides methods to read and write MAT files.  It also makes it possible to communicate (evaluate code, send and retrieve objects etc.) with Matlab v6 or higher running locally or on a remote host.  The auxillary Java class provides static methods to read and write Java data types.