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bigmemory (version 2.3)
Manage massive matrices in R using C++, with UNIX support for shared memory
Description
Use C++ to create, store, access, and manipulate massive matrices. Under UNIX, it also supports use of shared memory.
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Install
install.packages('bigmemory')
Monthly Downloads
10,590
Version
2.3
License
LGPL-3
Maintainer
John Emerson
Last Published
January 9th, 2024
Functions in bigmemory (2.3)
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describe, attach.big.matrix
The basic shared ``big.matrix'' operations.
biglm.big.matrix, bigglm.big.matrix
Use Thomas Lumley's ``biglm'' package with a ``big.matrix''
big.matrix, is.big.matrix, as.big.matrix
The basic ``big.matrix'' operations.
add.cols, rm.cols
Add and remove columns of a ``big.matrix''.
is.shared
Check the shared memory status of a ``big.matrix''
colmean, colmin, colmax, colrange, colvar, colsd, colprod, colsum
Basic statistics for ``big.matrix'' objects.
deepcopy
Produces a physical copy of a ``big.matrix''
shared.big.matrix
Create a shared ``big.matrix''.
rw.mutex, attach.rw.mutex
Mutual exclusion functionality for shared memory matrices in package ``bigmemory''
kmeans.big.matrix
bigmemory's memory-efficient k-means
big.matrix-class
Class ``big.matrix''.
rw.mutex-class
Mutual exclusions (mutexes) for shared memory.
mwhich
Expanded ``which''-like functionality.
bigmemory-package
bigmemory: massive matrices in (possibly shared) memory.
hash.mat
Create a hash into a ``big.matrix''
shared.deepcopy
Produces a physical copy of a ``big.matrix'' (shared or not) in shared memory.
write.big.matrix, read.big.matrix
File interface for a ``big.matrix''