https://github.com/RfastOfficial/Rfast
A collection of Rfast functions for data analysis. Note 1: The vast majority of the functions accept matrices only, not data.frames. Note 2: Do not have matrices or vectors with have missing data (i.e NAs). We do no check about them and C++ internally transforms them into zeros (0), so you may get wrong results. Note 3: In general, make sure you give the correct input, in order to get the correct output. We do no checks and this is one of the many reasons we are fast.
https://github.com/RfastOfficial/Rfast
Last synced: 30 days ago
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A collection of Rfast functions for data analysis. Note 1: The vast majority of the functions accept matrices only, not data.frames. Note 2: Do not have matrices or vectors with have missing data (i.e NAs). We do no check about them and C++ internally transforms them into zeros (0), so you may get wrong results. Note 3: In general, make sure you give the correct input, in order to get the correct output. We do no checks and this is one of the many reasons we are fast.
- Host: GitHub
- URL: https://github.com/RfastOfficial/Rfast
- Owner: RfastOfficial
- Created: 2019-10-06T14:25:53.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2025-03-07T10:50:27.000Z (about 1 month ago)
- Last Synced: 2025-03-07T11:25:18.017Z (about 1 month ago)
- Language: C++
- Size: 24.7 MB
- Stars: 147
- Watchers: 7
- Forks: 20
- Open Issues: 16
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Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
Awesome Lists containing this project
- jimsghstars - RfastOfficial/Rfast - A collection of Rfast functions for data analysis. Note 1: The vast majority of the functions accept matrices only, not data.frames. Note 2: Do not have matrices or vectors with have missing data (i (C++)
README
# Rfast
[](https://cran.r-project.org/package=Rfast) [](https://cran.r-project.org/package=Rfast) [](https://cran.r-project.org/package=Rfast) [](https://cran.r-project.org/package=Rfast) [](https://stackoverflow.com/search?q=Rfast)
## 1. About
A collection of fast (utility) functions for data analysis. Column- and row- wise means, medians, variances, minimums, maximums, many t, F and G-square tests, many regressions (normal, logistic, Poisson), are some of the many fast functions.## 2. References
* Tsagris M., Papadakis M. (2018). Taking R to its limits: 70+ tips. PeerJ Preprints 6:e26605v1 <\doi:10.7287/peerj.preprints.26605v1>.
* Tsagris M. and Papadakis M. (2018). Forward regression in R: from the extreme slow to the extreme fast. Journal of Data Science, 16(4): 771–780. <\doi:10.6339/JDS.201810_16(4).00006>.## Donate
[](https://www.paypal.com/paypalme/rfastofficial)