Benchmark and Correctness Data for Weighted Random Sampling Without Replacement

Includes performance measurements and results of repeated experiment runs (for correctness checks) for code in the 'wrswoR' package.


Benchmarks for a package with different implementations of weighted random sampling without replacement.

devtools::install_github(c('krlmlr/wrswoR', 'krlmlr/wrswoR.benchmark'))

News

Version 0.1-1 (2016-02-12)

  • Download data from GitHub, once per session.

Version 0.1 (2016-02-09)

First attempt of a CRAN release.

  • Datasets: break_even, timings, p_values_7, p_values_agg, p_values_agg_agg.
  • Rejected because it's too big.

Version 0.0-4 (2016-02-09)

  • Prepare CRAN release.

Version 0.0-3 (2016-02-04)

  • New simulation runs with wider ranges and using ceiling() to compute size from r.
  • Removed outdated vignette.
  • Use wercker.
  • Fix winbuilder errors

0.0-2 (2016-01-12)

  • Datasets: break_even, timings, correctness, p_values_7, p_values_agg, p_values_agg_agg.
  • Dataset correctness pending removal.

0.0-1 (2015-07-19)

  • Extract from wrswoR package.

Reference manual

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install.packages("wrswoR.benchmark")

0.1-1 by Kirill Müller, a year ago


http://krlmlr.github.io/wrswoR.benchmark


Report a bug at https://github.com/krlmlr/wrswoR.benchmark/issues


Browse source code at https://github.com/cran/wrswoR.benchmark


Authors: Kirill Müller [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports lazyeval, curl

Suggests knitr, rmarkdown, ggplot2, dplyr, tidyr


Suggested by wrswoR.


See at CRAN