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pqR - a pretty quick version of R

PqR - a pretty quick version of R. PqR is a new version of the R interpreter. It is based on R-2.15.0 and later versions distributed by the R Core Team (at r-project.org. And is now compatible with R-2.15.1. It improves on the R Core version in many ways, such as:. Speeds up many functions, as well as the general operation of the interpreter. Automatically performs some numerical computations in parallel on multi-core processors. Extends the R language to allow reliable code to be written more easily.

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pqR - a pretty quick version of R | pqr-project.org Reviews
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PqR - a pretty quick version of R. PqR is a new version of the R interpreter. It is based on R-2.15.0 and later versions distributed by the R Core Team (at r-project.org. And is now compatible with R-2.15.1. It improves on the R Core version in many ways, such as:. Speeds up many functions, as well as the general operation of the interpreter. Automatically performs some numerical computations in parallel on multi-core processors. Extends the R language to allow reliable code to be written more easily.
<META>
KEYWORDS
1 packages from cran
2 reporting bugs
3 more information
4 introduction to r
5 or as pdf
6 r data import/export
7 writing r extensions
8 r internals
9 the pqr wiki
10 previous releases
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packages from cran,reporting bugs,more information,introduction to r,or as pdf,r data import/export,writing r extensions,r internals,the pqr wiki,previous releases,source code repository,under the gpl
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pqR - a pretty quick version of R | pqr-project.org Reviews

https://pqr-project.org

PqR - a pretty quick version of R. PqR is a new version of the R interpreter. It is based on R-2.15.0 and later versions distributed by the R Core Team (at r-project.org. And is now compatible with R-2.15.1. It improves on the R Core version in many ways, such as:. Speeds up many functions, as well as the general operation of the interpreter. Automatically performs some numerical computations in parallel on multi-core processors. Extends the R language to allow reliable code to be written more easily.

INTERNAL PAGES

pqr-project.org pqr-project.org
1

An Introduction to R

http://www.pqr-project.org/R-intro.html

An Introduction to R. An Introduction to R. 1 Introduction and preliminaries. 11 The R environment. 12 Related software and documentation. 13 R and statistics. 14 R and the window system. 15 Using R interactively. 16 An introductory session. 17 Getting help with functions and features. 18 R commands, case sensitivity, etc. 19 Recall and correction of previous commands. 110 Executing commands from or diverting output to a file. 111 Data permanency and removing objects. 21 Vectors and assignment. 634 Attac...

2

R Internals - with modifications for pqR

http://www.pqr-project.org/R-ints.html

R Internals - with modifications for pqR. 1 R Internal Structures. 112 Rest of header. 12 Environments and variable lookup. 17 The eval function. 18 Reference counts and the nmcnt field. 19 The write barrier and the garbage collector. 111 Encodings for CHARSXPs. 112 The CHARSXP cache. 113 Warnings and errors. 1141 Representation of S4 objects. 1144 Mechanics of S4 dispatch. 1151 Internals of R alloc. 116 Internal use of global and base environments. 1181 Hiding C entry points. 23 Prototypes for primitives.

3

R Installation and Administration - with modifications for pqR

http://www.pqr-project.org/R-admin.html

R Installation and Administration - with modifications for pqR. R Installation and Administration. 1 Obtaining pqR and R. 11 Getting and unpacking the sources. 12 Getting patched and development versions. 121 Using Subversion and rsync. 2 Installing R under Unix-alikes. 23 Making the manuals. 28 Testing an Installation. 3 Installing R under Windows. 31 Building from source. 311 Getting the tools. 312 Getting the source files. 313 Building the core files. 314 Building the bitmap files. B5 Setting the shell.

4

R Data Import/Export

http://www.pqr-project.org/R-data.html

This is a guide to importing and exporting data to and from R. The current version of this document is 2.15.0 (2012-03-30). Importing from other statistical systems. Function and variable index. The relational databases part of this manual is based in part on an earlier manual by Douglas Bates and Saikat DebRoy. The principal author of this manual was Brian Ripley. Many volunteers have contributed to the packages used here. The principal authors of the packages mentioned are. David A. James. In general, ...

5

R FAQ

http://www.pqr-project.org/R-FAQ.html

Frequently Asked Questions on R. Version 2.15.2012-03-29. This document contains answers to some of the most frequently asked questions about R. Next: Obtaining this document. This document is free software; you can redistribute it and/or modify it under the terms of the. General Public License as published by the Free Software Foundation; either version 2, or (at your option) any later version. General Public License for more details. General Public License versions are available at. Rsquo; is used for ...

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Radford Neal's Home Page

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Radford M. Neal. Professor, Canada Research Chair in Statistics and Machine Learning. Dept of Statistics and Dept. of Computer Science, University of Toronto. This is my U of T web page, containing information on teaching and research, including on-line publications and software. I also have a blog, at radfordneal.wordpress.com. Which is not sponsored by or approved by the University of Toronto. I'm currently highlighting the following:. My new, faster, version of R, called pqR. A new technical report on.

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dn | Daniel Nee

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All posts by dn. April 27, 2016. Links to various useful external resources. Will be continually updated. Http:/ drivendata.github.io/cookiecutter-data-science/. Numpy for R users. Http:/ mathesaurus.sourceforge.net/r-numpy.html. Computing PCA with SVD. April 25, 2015. PCA is a great tool for performing dimensionality reduction. Two reason you might want to use SVD to compute PCA:. Spark's PCA implementation currently doesn't support very wide matrices. The SVD implementation does however. Hadoop 2 is a ...

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Programming | Daniel Nee

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February 16, 2015. Hadoop 2 is a complete overall of some of the core Hadoop libraries. It is a fundamental shift in the way applications run on top of Hadoop and it is worth understanding these changes. In Hadoop 1, the programming API (MapReduce) and resource management of the cluster were all bundled together. In Hadoop 2, resource management is now handled by YARN (Yet Another Resource Negotiator). Runs on a single master node. Global resource scheduler across the node. Sits on each slave node. Hadoo...

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The free, open, and proprietary flavors of R – Adolfo Álvarez

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The free, open, and proprietary flavors of R. November 10, 2014. November 10, 2014. R: A free software project. R was announced to the world on August 4th, 1993, when Ross Ihaka sent the following email to the S-news email list:. As referred by prof. Ihaka in the R: Past and future. Article, only in june of 1995 R became Free Software, when the source code was released under the GNU General Public License (GPL). From the Free Software Foundation. Free and non-free extensions (a.k.a Packages). And some of...

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R: Анализ и визуализация данных: 04/01/2015 - 05/01/2015

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R: Анализ и визуализация данных. Интересное из мира R (20-26 апреля 2015 г.). На этой неделе многие интересные публикации были связаны с фреймворком Shiny. Дин Аттали ( Dean Attali. О выходе своего пакета shinyjs. Который позволяет реализовывать распространенные JavaScript-операции в Shiny-приложениях. Дин приводит подробный пример использования этого нового пакета. У себя в блоге Дин Аттали также опубликовал статью. В блоге набирающего популярность сервиса Plotly. GitHub Hosted R Repository. Вводные уро...

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Performance · Advanced R.

http://adv-r.had.co.nz/Performance.html

Want to learn from me in person? I'm next teaching in DC, Sep 14-15. Want a physical copy of this material? Buy a book from amazon! R is not a fast language. This is not an accident. R was purposely designed to make data analysis and statistics easier for you to do. It was not designed to make life easier for your computer. While R is slow compared to other programming languages, for most purposes, it’s fast enough. You’ll learn a little about R’s C internals. Let’s get started by learning more about why...

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EconBS: Why use R? Five reasons.

http://www.econometricsbysimulation.com/2014/03/why-use-r-five-reasons.html

Econometrics By Simulation: Simulations and Analysis github.com/EconometricsBySimulation/. Thursday, March 27, 2014. In this post I will go through 5 reasons:. Zero cost, crazy popularity, awesome power, dazzling flexibility, and. I would like to thank the bloggers. Robert A. Meunchen. Not much needs to be said about this point. R is free to install, use, update, clone, modify, redistribute, even. You can find installation for R with Linux, Max OS X, and Windows at. Looking at this graph it is clear that...

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Radford Neal's blog | Page 2

https://radfordneal.wordpress.com/page/2

Radford Neal's blog. Faculty Position in Statistics at the University of Toronto (Mississauga). The University of Toronto, Mississauga campus. Is now recruiting for an Assistant Professor in Statistics. Faculty at the suburban Mississauga campus teach undergraduate courses there, but also spend much time at the Department of Statistical Sciences. The deadline to apply is December 15, 2014. You can see the ad here. 2014-12-08 at 2:16 pm. Subset replacement in pqR: Now faster and better. Here I’ll hi...

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pqR - a pretty quick version of R

PqR - a pretty quick version of R. PqR is a new version of the R interpreter. It is based on R-2.15.0 and later versions distributed by the R Core Team (at r-project.org. And is now compatible with R-2.15.1. It improves on the R Core version in many ways, such as:. Speeds up many functions, as well as the general operation of the interpreter. Automatically performs some numerical computations in parallel on multi-core processors. Extends the R language to allow reliable code to be written more easily.

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怎样躲避时时彩单边长开_怎样能提前知道重庆时时彩定胆位开奖号码_七星彩怎么杀合数

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Tel 358 (0)40 5896099. Fax 358 (0)18 13083. Referat från det första redaktionsmötet 1977. PQR är en ständig tillägnan denna ryggliggande idékläckargrupp, orsaken till att PQR ännu idag fortsätter och fortsätter . . . Utkommer 31 januari 2018. Distribueras på fastlandet och i Sverige. Av Förlaget M. På Åland av PQR. Ca pris 30,80 ISBN 978-952-5705-77-5. Finns på Adlibris.com. Det är inte långt mera till. Branten, och vi störta utför.". Så skrev Carl-Rudolf Gardbeg år 1917, när han nyss. Som står i mitten.