tpq/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.

Getting started

Package details

Maintainer
LicenseGPL-2
Version1.0.2
URL http://github.com/tpq/peakRAM
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tpq/peakRAM")
tpq/peakRAM documentation built on May 31, 2019, 7:40 p.m.