rbenchmark: 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.
Documentation:
Downloads:
Reverse dependencies:
| Reverse suggests: |
aoos, BioQC, BSL, clusterCrit, dat, digest, doRNG, fourierin, glassoFast, hash, JacobiEigen, mkin, phyr, PMwR, psd, qwraps2, Rcpp, RcppCNPy, RcppZiggurat, rucrdtw, runstats, storr, TapeS, twdtw, vMF |
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