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https://github.com/kaneplusplus/bigmemory
https://github.com/kaneplusplus/bigmemory
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/kaneplusplus/bigmemory
- Owner: kaneplusplus
- Created: 2014-11-28T17:14:24.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2024-01-09T17:18:08.000Z (6 months ago)
- Last Synced: 2024-04-19T03:22:34.091Z (2 months ago)
- Language: C++
- Size: 935 KB
- Stars: 126
- Watchers: 14
- Forks: 24
- Open Issues: 35
-
Metadata Files:
- Readme: README.md
Lists
- awesome-R - bigmemory - Shared memory and memory-mapped matrices. The big\* packages provide additional tools including linear models ([biglm](http://cran.r-project.org/web/packages/biglm/index.html)) and Random Forests ([bigrf](https://github.com/aloysius-lim/bigrf)). (Data Manipulation)
- awesome-R - bigmemory - Shared memory and memory-mapped matrices. The big\* packages provide additional tools including linear models ([biglm](http://cran.r-project.org/web/packages/biglm/index.html)) and Random Forests ([bigrf](https://github.com/aloysius-lim/bigrf)). (Data Manipulation)
- jimsghstars - kaneplusplus/bigmemory - (C++)
- awesome_R - bigmemory - Shared memory and memory-mapped matrices. The big\* packages provide additional tools including linear models ([biglm](http://cran.r-project.org/web/packages/biglm/index.html)) and Random Forests ([bigrf](https://github.com/aloysius-lim/bigrf)). (Data Manipulation)
- fucking-awesome-R - bigmemory - Shared memory and memory-mapped matrices. The big\* packages provide additional tools including linear models ([biglm](http://cran.r-project.org/web/packages/biglm/index.html)) and Random Forests (<b><code> 91⭐</code></b> <b><code> 26🍴</code></b> [bigrf](https://github.com/aloysius-lim/bigrf))). (Data Manipulation)
README
[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/bigmemory)](http://cran.r-project.org/package=bigmemory)
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[![rstudio mirror downloads](http://cranlogs.r-pkg.org/badges/bigmemory?color=blue)](https://github.com/metacran/cranlogs.app)
[![rstudio mirror downloads](http://cranlogs.r-pkg.org/badges/grand-total/bigmemory?color=blue)](https://github.com/metacran/cranlogs.app)
[![Research software impact](http://depsy.org/api/package/cran/bigmemory/badge.svg)](http://depsy.org/package/r/bigmemory)bigmemory
=========Create, store, access, and manipulate massive matrices. Matrices are, by default, allocated to shared memory and may use memory-mapped files. Packages ‘biganalytics’, ‘synchronicity’, ‘bigalgebra’, and ‘bigtabulate’ provide advanced functionality. Access to and manipulation of a ‘big.matrix’ object is exposed in by an S4 class whose interface is simlar to that of an ‘matrix’. Use of these packages in parallel environments can provide substantial speed and memory efficiencies. ‘bigmemory’ also provides a C++ framework for the development of new tools that can work both with ‘big.matrix’ and native ‘matrix’ objects.
```{R}
x <- big.matrix(5, 2, type="integer", init=0,
dimnames=list(NULL, c("alpha", "beta")))
x
x[1:2,]
x[,1] <- 1:5
x[,"alpha"]
colnames(x)
options(bigmemory.allow.dimnames=TRUE)
colnames(x) <- NULL
x[,]
```### Wish List
1. Additional big.matrix subclasses (e.g. sparse, positive-definite, etc.)
-- see bigalgrebra package
2. big.sparse.matrix.