Package: peakRAM 1.0.3

peakRAM: Monitor the Total and Peak RAM Used by an Expression or Function

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.

Authors:Thomas Quinn [aut, cre]

peakRAM_1.0.3.tar.gz
peakRAM_1.0.3.zip(r-4.5)peakRAM_1.0.3.zip(r-4.4)peakRAM_1.0.3.zip(r-4.3)
peakRAM_1.0.3.tgz(r-4.4-any)peakRAM_1.0.3.tgz(r-4.3-any)
peakRAM_1.0.3.tar.gz(r-4.5-noble)peakRAM_1.0.3.tar.gz(r-4.4-noble)
peakRAM_1.0.3.tgz(r-4.4-emscripten)peakRAM_1.0.3.tgz(r-4.3-emscripten)
peakRAM.pdf |peakRAM.html
peakRAM/json (API)
NEWS

# Install 'peakRAM' in R:
install.packages('peakRAM', repos = c('https://tpq.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tpq/peakram/issues

On CRAN:

1 exports 21 stars 2.11 score 0 dependencies 129 scripts 420 downloads

Last updated 3 years agofrom:c990f39099. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 26 2024
R-4.5-winOKAug 26 2024
R-4.5-linuxOKAug 26 2024
R-4.4-winOKAug 26 2024
R-4.4-macOKAug 26 2024
R-4.3-winOKAug 26 2024
R-4.3-macOKAug 26 2024

Exports:peakRAM

Dependencies:

Tracking Peak RAM Use and Minimizing Overhead

Rendered frompeakRAM.Rmdusingknitr::rmarkdownon Aug 26 2024.

Last update: 2016-07-29
Started: 2016-07-29