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Category: R

[108] MRAN is Dead, long live GRAN

Posted on April 28, 2023April 28, 2023 by Uri Simonsohn

Microsoft has been making daily copies of the entire CRAN website of R packages since 2014. This archive, named MRAN, allows installing older versions of packages, which is valuable for reproducibility purposes. The 15,000+ R packages on CRAN are incessantly updated. For example, the package tidyverse depends on 109 packages; these packages accumulate 63 updates, just…

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[102] R on Steroids: Running WAY faster simulations in R

Posted on September 6, 2022September 6, 2022 by Uri Simonsohn

This post shows how to run simulations (loops) in R that can go 50 times faster than the default approach of running code like: for (k in 1:100) on your laptop. Obviously, a bit of a niche post. There are two steps. Step 1 involves running parallel rather than sequential loops [1]. This step can…

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[100] Groundhog 2.0: Further addressing the threat R poses to reproducible research

Posted on April 8, 2022April 9, 2022 by Uri Simonsohn

About a year ago I wrote Colada[95], a post on the threat R poses to reproducible research. The core issue is the 'packages'. When using R, you can run library(some_package) and R can all of a sudden scrape a website, cluster standard errors, maybe even help you levitate. The problem is that packages get updated…

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  • [108] MRAN is Dead, long live GRAN
  • [102] R on Steroids: Running WAY faster simulations in R
  • [100] Groundhog 2.0: Further addressing the threat R poses to reproducible research

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© 2021, Uri Simonsohn, Leif Nelson, and Joseph Simmons. For permission to reprint individual blog posts on DataColada please contact us via email..