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R
R 2.14.1
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(7) 4.5

Statistical computing and graphics.   Free
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R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical
What's New
Version 2.14.1:

NEW FEATURES:

  • parallel::detectCores() is now able to find the number of physical cores (rather than CPUs) on Sparc Solaris.It can also do so on most versions of Windows; however the default remains detectCores(logical = TRUE) on that platform.
  • Reference classes now keep a record of which fields are locked. $lock() with no arguments returns the names of the locked fields.
  • HoltWinters() reports a warning rather than an error for some optimization failures (where the answer might be a reasonable one).
  • tools::dependsOnPkg() now accepts the shorthand dependencies = "all".
  • parallel::clusterExport() now allows specification of an environment from which to export.
  • The quartz() device now does tilde expansion on its file argument.
  • tempfile() on a Unix-alike now takes the process ID into account. This is needed with multicore (and as part of parallel) because the parent and all the children share a session temporary directory, and they can share the C random number stream used to produce the uniaue part. Further, two children can call tempfile() simultaneously.
  • Option print in Sweave's RweaveLatex() driver now emulates auto-printing rather than printing (which can differ for an S4 object by calling show() rather than print()).
  • filled.contour() now accepts infinite values: previously it might have generated invalid graphics files (e.g. containing NaN values).
INSTALLATION:
  • On 64-bit Linux systems, configure now only sets LIBnn to lib64 if /usr/lib64 exists. This may obviate setting LIBnn explicitly on Debian-derived systems.It is still necessary to set LIBnn = lib (or lib32) for 32-bit builds of R on a 64-bit OS on those Linux distributions capable for supporting that concept.
  • configure looks for inconsolata.sty, and if not found adjusts the default R_RD4PDF to not use it (with a warning, since it is needed for high-quality rendering of manuals).
PACKAGE INSTALLATION:
  • R CMD INSTALL will now do a test load for all sub-architectures for which code was compiled (rather than just the primary sub-architecture).
UTILITIES:
  • When checking examples under more than one sub-architecture, R CMD check now uses a separate directory examples_arch for each sub-architecture, and leaves the output in file pkgname-Ex_arch.Rout. Some packages expect their examples to be run in a clean directory ….
BUG FIXES:
  • stack() now gives an error if no vector column is selected, rather than returning a 1-column data frame (contrary to its documentation).
  • summary.mlm() did not handle objects where the formula had been specified by an expression. (Reported by Helios de Rosario Martinez).
  • tools::deparseLatex(dropBraces=TRUE) could drop text as well as braces.
  • colormodel = "grey" (new in R 2.14.0)) did not always work in postscript() and pdf().
  • file.append() could return TRUE for failures. (PR#14727)
  • gzcon() connections are no longer subject to garbage collection: it was possible for this to happen when unintended (e.g. when calling load()).
  • nobs() does not count zero-weight observations for glm() fits, for consistency with lm(). This affects the BIC() values reported for such glm() fits. (Spotted by Bill Dunlap.)
  • options(warn = 0) failed to end a (C-level) context with more than 50 accumulated warnings. (Spotted by Jeffery Horner.)
  • The internal plot.default() code did not do sanity checks on a cex argument, so invalid input could cause problems. (Reported by Ben Bolker.)
  • anyDuplicated(, MARGIN=0) no longer fails. (Reported by Herv'e Pag`es.)
  • read.dcf() removes trailing blanks: unfortunately on some platforms this included xa0 (non-breaking space) which is the trailing byte of a UTF-8 character. It now only considers ASCII space and tab to be 'blank'.
  • There was a sign error in part of the calculations for the variance returned by KalmanSmooth(). (PR#14738)
  • pbinom(10, 1e6, 0.01, log.p = TRUE) was NaN thanks to the buggy fix to PR#14320 in R 2.11.0. (PR#14739)
  • RweaveLatex() now emulates auto-printing rather than printing, by calling methods::show() when auto-printing would.
  • duplicated() ignored fromLast for a one-column data frame. (PR#14742)
  • source() and related functions did not put the correct timestamp on the source references; srcfilecopy() has gained a new argument timestamp to support this fix. (PR#14750)
  • LaTeX conversion of Rd files did not correctly handle preformatted backslashes. (PR#14751)
  • HTML conversion of Rd files did not handle markup within tabular cells properly. (PR#14708)
  • source() on an empty file with keep.source = TRUE tried to read from stdin(), in R 2.14.0 only. (PR#14753)
  • The code to check Rd files in packages would abort if duplicate description sections were present.

Version 2.14.1:

NEW FEATURES:

  • parallel::detectCores() is now able to find the number of physical cores (rather than CPUs) on Sparc Solaris.It can also do so on most versions of Windows; however the default remains detectCores(logical = TRUE) on that platform.
  • Reference classes now keep a record of which fields are locked. $lock() with no arguments returns the names of the more...
Requirements
  • PPC / Intel
  • Mac OS X 10.5 or later
  • X11 system manager (optional)
  • Gnu g77 compiler and tcltk libraries included with the installer







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R User Discussion (Write a Review)
ver. 2.x:
(7)
Your rating: Now say why...
Overall:
(7)

sort: smiles | time
burypromote


biop090 reviewed on 05 Jan 2012
GREAT!
[Version 2.14.1]


burypromote
+1

+1

Pedroj reviewed on 26 Sep 2010
R is the tool for choice for serious statistical analysis. It's not an easy platform, however, and learning takes some time. The good side is how powerful it is for *any* type of analysis, data, or problem. The help support is very good and user forums are very active and helpful. This is not the package of choice if you are doing sporadic data analysis, but I'd recommend it to anyone seriously involved in statistical analysis. If you are just starting with statistics and plan to keep doing data analysis- go for it. If you are using other packages and statistical analysis is a major part of your study, go for it. No other package offers the versatility and support R has. If the command line mode is really intimidating to you, you can use the R-Commander GUI (just install the Rcmdr package), but the real power of R lies in its command-line. You can run R with the binary cocoa application, from the Terminal, within emacs, or within TextMate.
[Version 2.11.1]

1 Reply

burypromote

+21
Myschizobuddy replied on 05 Jan 2012
and rStudio http://rstudio.org/
burypromote
+2

+10

joachimr reviewed on 24 Mar 2009
Top-notch statistical analysis software for an unbeatable price. You do have to invest some time to learn how to work it, but that's well worth the price of admission. Many statistical tools become available on this platform way before others (much more costly ones). It is supported by a wide, global user and programmer base. Get yourself a book to learn how to use it if you are not the adventurous or "I'd rather do this with a command-line" type.
[Version 2.8.1]


burypromote
+2


Anonymous reviewed on 22 Oct 2004
A significant upgrade. The interface is now a lot less baffling. The most immediately-visible changes affect the ease with which you can see what is in your workspace and how easily you can access help files.
R is powerful, but has hitherto been daunting in its minimalist interface. This is still a package for the professional, but is now going to be a lot easier to get to grips with.
[Version 2.0.0]


burypromote
+1


Anonymous reviewed on 22 Oct 2004
One of the most robust and powerful statistical package that just happens to be free, as well. Most of its power comes from command line interface, but the object browsers can't hurt. Is it just me or it tends to run a lot faster when run directly from terminal app?
[Version 2.0.0]


burypromote

+14
umijin had trouble on 25 May 2006
I downloaded the package, ran the installer and after starting R, the app remains in 'loading R' status interminably. I have to 'force quit' R to get out of it.

I'm running a 20" G5 iMac with OSX10.4.6

Any idea of what the problem is?
[Version 2.3]

1 Reply

burypromote
-1

+14
umijin commented on 25 May 2006
I rebooted my Mac and R starts up quickly. But the text screen shows several repetitions of:

Error loading /Library/QuickTime/DivX 6 Decoder.component/Contents/MacOS/DivX 6 Decoder:...

+21

Mrgando rated on 01 Nov 2011

[Version 2.14.0]



+4

Dedalus271 rated on 13 Apr 2011

[Version 2.13.0]


Downloads:29,905
Version Downloads:1,642
Type:Business : Applications
License:Free
Date:05 Jan 2012
Platform:PPC / Intel
Price:Free0.00
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R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

R provides a wide variety of statistical (linear 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 statistical methodology, and R provides an Open Source route to participation in that activity.

One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control.
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