Benchmarking Routine for R

Benchmarking of arbitrary R code, inspired by similar functionality in a Perl module, is implemented via a simple wrapper around system.time(). Given a specification of the benchmarking process (counts of replications, evaluation environment) and an arbitrary number of expressions, the function evaluates each of the expressions in the specified environment, replicating the evaluation as many times as specified, and returning the results conveniently wrapped into a data frame.


Reference manual

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install.packages("rbenchmark")

1.0.1 by Dirk Eddelbuettel, 4 months ago


https://github.com/eddelbuettel/rbenchmark


Report a bug at https://github.com/eddelbuettel/rbenchmark/issues


Browse source code at https://github.com/cran/rbenchmark


Authors: Wacek Kusnierczyk [aut] , Dirk Eddelbuettel [aut, cre] (ORCID: , Berend Hasselman [aut]


Documentation:   PDF Manual  


GPL (>= 2) license



Suggested by BSL, PMwR, Rcpp, RcppCNPy, RcppZiggurat, TapeS, aoos, clusterCrit, dat, digest, doRNG, fourierin, glassoFast, hash, mkin, phyr, psd, rucrdtw, storr, twdtw, vMF.


See at CRAN