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NumPy for R (and S-Plus) users â€“ Mathesaurus
Searching available documentationR/S-PlusPythonDescription
agx 2011/11/01
R

Python
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ESS on Emacsã§å¿«é©ã«è£œå®Œã§ãã‚‹auto-complete-acr.el0.2ãƒªãƒªãƒ¼ã‚¹ã—ã¾ã—ãŸ - sheephead
ESS on Emacsã§å¿«é©ã«è£œå®Œã§ãã‚‹auto-complete-acr.el0.2ãƒªãƒªãƒ¼ã‚¹ã—ã¾ã—ãŸ 2009.10.19 æ—¥è¨˜ auto-complete, auto-complete.el, Emacs, ESS, Lisp, Python, ubuntu å‰ã«ã¡ã‚‡ã“ã£ã¨æ›¸ã„ã¦ã¿ãŸauto-complete-acr.elãªã‚‹elispã€‚ Rã‚’æ›¸ãã«ã€ãŒã‚“ãŒã‚“auto-completeã§ãã‚‹ã®ã§ã‹ãªã‚Šä¾¿åˆ©ã€‚ã§ã‚‚ã†æ‰‹æ”¾ã›ãªã„æ„Ÿã˜ã ã£ãŸã®ã§ã™ãŒã€ã„ã‚ã„ã‚ã¨ä¸æº€ã‚‚ã‚ã£ãŸã®ã§æ›¸ãç›´ã—ã¦ã¿ã¾ã—ãŸã€‚ å‰ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã®ã„ã‘ã¦ãªã‹ã£ãŸã¨ã“ã‚ å‰ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã«ã¤ã„ã¦ã¯ã€ã“ã®è¾ºã‚’èªã‚“ã§ã‚‚ã‚‰ã†ã¨ã„ãã•ã¤ãŒã‚ã‹ã‚‹ã‹ã‚‚ã§ã™ã€‚ emacsã®python-modeã§ã‚‚auto-complete.elã‚’ä½¿ã† auto-complete.elã‚’æ‹¡å¼µã™ã‚‹Rç”¨ã®elispã‚’ã•ã‚‰ã«æ‹¡å¼µã—ã¦ã¿ãŸã€‚ è¦ã¯ã€auto-compl
agx 2009/12/23
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agx 2009/11/02
R
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hash: Full Featured Implementation of Hash Tables/Associative Arrays/Dictionaries
hash: Full Featured Implementation of Hash Tables/Associative Arrays/Dictionaries Implements a data structure similar to hashes in Perl and dictionaries in Python but with a purposefully R flavor. For objects of appreciable size, access using hashes outperforms native named lists and vectors.
agx 2009/10/18
R
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Comprehensive R Graphical Reference - Mad Dryfarm Wolves
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agx 2009/10/16
R

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Excelä¸Šã§Rã‚’å‹•ã‹ã™RExcel - ã‚‚ã†ã‚«ãƒ„ä¸¼ã§ã„ã„ã‚ˆãª
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agx 2009/10/13
R

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agx 2009/09/26
R

vim
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The Sweave Homepage
Department of Statistics Welcome to the Department of Statistics. We conduct research and teaching across the full spectrum of statistics - from Official Statistics to modern Data Science and Machine Learning. Learn more about our people, projects, and programs here.
agx 2009/09/22
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Post by @kashino
plyr is a set of tools that solves a common set of probl ems: you need to break a big probl em down into manageable pieces, operate on each pieces and then put all the pieces back together. It's already possible to do this with split and the apply functions, but plyr just makes it all a bit easier with: * consistent names, arguments and outputs * input from and output to data.frames, matrices and li
agx 2009/09/18
R
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https://www.drakyadav.com/about-us
agx 2009/09/15
R
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agx 2009/09/12
R
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Amazon.co.jp: ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯åˆ†æž (Rã§å¦ã¶ãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ã‚¹ 8): éˆ´æœ¨åŠª (è‘—), é‡‘æ˜Žå“² (ç·¨é›†): æœ¬
agx 2009/09/11
R
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Animation using R (low resolution version)
I plotted opening movie of Bake Monogatari #4 using GNU R with plotrix and biOps library. "Kaerimichi" song by Mayoi Hachikuji (CV: Emiri Kato). R: http://www.r-project.org/ Inspired by http://www.nicovideo.jp/watch/1237183380
agx 2009/09/06
R
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Google's R Style Guide - RjpWiki
RjpWiki ã¯ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã®çµ±è¨ˆè§£æžã‚·ã‚¹ãƒ†ãƒ R ã«é–¢ã™ã‚‹æƒ…å ±äº¤æ›ã‚’ç›®çš„ã¨ã—ãŸ Wiki ã§ã™2009-09-05 ï¼±ï¼†ï¼¡ (åˆç´šè€…ã‚³ãƒ¼ã‚¹)/11 2009-09-04 Ræœ¬ãƒªã‚¹ãƒˆ ãƒˆãƒƒãƒ—é ã¸ã®ã‚³ãƒ¡ãƒ³ãƒˆ 2009-09-03 ï¼±ï¼†ï¼¡ (ä¸ç´šè€…ã‚³ãƒ¼ã‚¹) Rå² ï¼²ã§ï¼§ï¼©ï¼³ 2009-09-02 R ã¨ PostgreSQL Rã¨PostGIS RecentDeleted 2009-09-01 Google's R Style Guide 2009-08-31 Rcmdrã®æ©Ÿèƒ½ 2009-08-28 GoogleEarthã¨R 2009-08-26 ishida spatstat(ç©ºé–“ãƒã‚¤ãƒ³ãƒˆãƒ»ãƒ‘ã‚¿ãƒ¼ãƒ³åˆ†æž)ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ä¸ã®ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆä¸€è¦§ 2009-08-24 RCurlã€€ã§ Web ã‚µãƒ¼ãƒ“ã‚¹ã‚’ã™ã„ã™ã„åˆ©ç”¨ã™ã‚‹æ–¹æ³• R ã§ä¸¦åˆ—å‡¦ç† 2009-08-23 RExcel 2009-08-21
agx 2009/09/05
R
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CRAN Task View: High-Performance and Parallel Computing with R
Dirk Eddelbuettel (2025). CRAN Task View: High-Performance and Parallel Computing with R. Version 2025-12-25. URL https://CRAN.R-project.org/view=HighPerformanceComputing. The packages from this task view can be installed automatically using the ctv package. For example, ctv::install.views("HighPerformanceComputing", coreOnly = TRUE) installs all the core packages or ctv::update.views("HighPerform
agx 2009/08/28
R
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rseek.org - rstats search engine
Created and maintained by Sasha G. Chase. Serving the R community since 2007. Version 2.0. Privacy Policy Download and Install R
agx 2009/08/24
R

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R GPGPU
Enabling GPU Computing in the R Statistical Environment R is the most popular open source statistical environment in the biomedical research community. However, most of the popular R function implementations involve no parallelism and they can only be executed as separate instances on multicore or cluster hardware for large data-parallel analysis tasks. The arrival of modern graphics processing un
agx 2009/06/24
R
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SIGIL - R for Corpus Data
Statistical Analysis of Corpus Data with R A Gentle Introduction for Computational Linguists and Similar Creatures Course Materials â€“ Data Sets â€“ Exercises â€“ SIGIL Main Page Statistical Analysis of Corpus Data with R is an online course by Marco Baroni and Stefan Evert. It is based on a number of previous courses on similar topics taught together by the authors, in particular the course on R Pro
agx 2009/06/23
R
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agx 2009/02/12
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