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✨
card.svg |card.png
peakRAM/json (API)
NEWS

# 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:

6.61 score 24 stars 338 scripts 382 downloads 1 exports 0 dependencies

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

Target	Result	Time
linux-devel-x86_64	OK	109
source / vignettes	OK	154
linux-release-x86_64	OK	104
macos-release-arm64	OK	156
macos-oldrel-arm64	OK	174
windows-devel	OK	59
windows-release	OK	66
windows-oldrel	OK	123
wasm-release	OK	92