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When working with big data sets, RAM conservation is critically important. However, it is not always enough to just monitor the size of the objects created. So-called "copy-on-modify" behavior, characteristic of R, means that some expressions or functions may require an unexpectedly large amount of RAM overhead. For example, replacing a single value in a matrix duplicates that matrix in the back-end, making this task require twice as much RAM as that used by the matrix itself. This package makes it easy to monitor the total and peak RAM used so that developers can quickly identify and eliminate RAM hungry code.
Version: | 1.0.2 |
Depends: | R (≥ 3.2.2) |
Suggests: | knitr, rmarkdown |
Published: | 2017-01-16 |
DOI: | 10.32614/CRAN.package.peakRAM |
Author: | Thomas Quinn [aut, cre] |
Maintainer: | Thomas Quinn <contacttomquinn at gmail.com> |
BugReports: | http://github.com/tpq/peakRAM/issues |
License: | GPL-2 |
URL: | http://github.com/tpq/peakRAM |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | peakRAM results |
Reference manual: | peakRAM.pdf |
Vignettes: |
Tracking Peak RAM Use and Minimizing Overhead |
Package source: | peakRAM_1.0.2.tar.gz |
Windows binaries: | r-devel: peakRAM_1.0.2.zip, r-release: peakRAM_1.0.2.zip, r-oldrel: peakRAM_1.0.2.zip |
macOS binaries: | r-release (arm64): peakRAM_1.0.2.tgz, r-oldrel (arm64): peakRAM_1.0.2.tgz, r-release (x86_64): peakRAM_1.0.2.tgz, r-oldrel (x86_64): peakRAM_1.0.2.tgz |
Old sources: | peakRAM archive |
Please use the canonical form https://CRAN.R-project.org/package=peakRAM to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.