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-4.7)peakRAM_1.0.3.zip(r-4.6)peakRAM_1.0.3.zip(r-4.5)
peakRAM_1.0.3.tgz(r-4.6-any)peakRAM_1.0.3.tgz(r-4.5-any)
peakRAM_1.0.3.tar.gz(r-4.7-any)peakRAM_1.0.3.tar.gz(r-4.6-any)
peakRAM_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
peakRAM/json (API)

# Install 'peakRAM' in R:

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

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

On CRAN:

6.60 score 24 stars 333 scripts 485 downloads 1 exports 0 dependencies

Last updated from:c990f39099. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	104
source / vignettes	OK	156
linux-release-x86_64	OK	101
macos-release-arm64	OK	121
macos-oldrel-arm64	OK	182
windows-devel	OK	67
windows-release	OK	55
windows-oldrel	OK	53
wasm-release	OK	88