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\ Development
\ Compilers & Interpreters \ R for Windows
R for Windows4.4.1 by R Development Core Team |
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Software Description:
... and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.Give R for Windows a try to fully assess its capabilities ...
type: Open Source
Download R for Windowscategories: data manipulation, statistical computation, data analysis, statistics, computation, analysis Add to Download Basket Report virus or spyware |
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Software Info | |
Best Vista Download periodically updates pricing and software information of R for Windows full version from the publisher,
but some information may be out-of-date. You should confirm all information. Software piracy is theft, using crack, warez passwords, patches, serial numbers, registration codes, key generator, keymaker or keygen for R for Windows license key is illegal and prevent future development of R for Windows. Download links are directly from our mirrors or publisher's website, R for Windows torrent files or shared files from rapidshare, yousendit or megaupload are not allowed! |
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Released: | June 15, 2024 |
Filesize: | 82.00 MB |
Platform: | Windows Vista x64, Windows 7 x64, Windows 8 x64, Windows 10 x64, Windows 11 |
Install | Instal And Uninstall |
Add Your Review or Windows Vista Compatibility Report |
R for Windows- Releases History |
Software: | R for Windows 4.4.1 |
Date Released: | Jun 15, 2024 |
Status: | New Release |
Software: | R for Windows 4.4.0 |
Date Released: | Apr 29, 2024 |
Status: | New Release |
Software: | R for Windows 4.3.3 |
Date Released: | Feb 29, 2024 |
Status: | New Release |
Most popular t classification in Compilers & Interpreters downloads for Vista |
R for Windows 4.4.1 download by R Development Core Team
... and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in ...
type: Open Source
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categories: data manipulation, statistical computation, data analysis, statistics, computation, analysis |