We stand with Ukraine to help keep people safe. Join us
All Apps
Best AppsReviewsComparisonsHow-To
When you purchase through links on our site, we may earn an affiliate commission

R for Mac

Statistical computing and graphics.

Free
In English
4.8
Based on 23 user rates

R overview

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.

What’s new in version 4.3.2

Bug fixes:
  • substr(x, n, L) <- cc now works (more) correctly for multibyte UTF-8 strings x when L > nchar(x), thanks to a report and patch by 'Architect 95'.
  • contrib.url(character()) now returns 0-length character() as documented, which also avoids spurious warnings from available.packages() et al. in the edge case of an empty vector of repository URLs.
  • readChar(., 4e8) no longer fails, thanks to Kodi Arfer's report (PR#18557).
  • lapply(, as.data.frame) no longer warns falsely for some base vector components.

Full list of changes available here

View older R versions

R for Mac

Free
In English
Version 4.3.2
Write a detailed review about R

Write your thoughts in our old-fashioned comment

MacUpdate Comment Policy. We strongly recommend leaving comments, however comments with abusive words, bullying, personal attacks of any type will be moderated.
4.8

(18 Reviews of R)

  • Comments

  • User Ratings

CheepnisAroma
CheepnisAroma
Nov 15 2023
4.3.0
0.0
Nov 15 2023
0.0
Version: 4.3.0
4.3.2 is out
CheepnisAroma
CheepnisAroma
Jun 2 2023
4.2.3
0.0
Jun 2 2023
0.0
Version: 4.2.3
4.3.0 is out https://cran.r-project.org/doc/manuals/r-release/NEWS.html
CheepnisAroma
CheepnisAroma
Mar 16 2023
4.2.2
0.0
Mar 16 2023
0.0
Version: 4.2.2
The latest version is 4.2.3
Selasley
Selasley
Apr 25 2020
3.6.3
0.0
Apr 25 2020
0.0
Version: 3.6.3
Version 4.0.0 released today. Release notes here https://stat.ethz.ch/pipermail/r-announce/2020/000653.html
Hachepunto
Hachepunto
Jul 31 2015
3.2.1
5.0
Jul 31 2015
5.0
Version: 3.2.1
There's lots of software available for data analysis today: spreadsheets like Excel, batch-oriented procedure-based systems like SAS; point-and-click GUI-based systems like SPSS; data mining systems, and so on. What makes R different? R is free. As an open-source project, you can use R free of charge: no worries about subscription fees, license managers, or user limits. But just as importantly, R is open: you can inspect the code and tinker with it as much as you like (provided you respect the terms of the GNU General Public License version 2 under which it is distributed). Thousands of experts around the world have done just that, and their contributions benefit the millions of people who use R today. R is a language. In R, you do data analysis by writing functions and scripts, not by pointing and clicking. That may sound daunting, but it's an easy language to learn, and a very natural and expressive one for data analysis. But once you learn the language, there are many benefits. As an interactive language (as opposed to a data-in-data-out black-box procedures), R promotes experimentation and exploration, which improves data analysis and often leads to discoveries that wouldn't be made otherwise. A script documents all your work, from data access to reporting, and can instantly be re-run at any time. (This makes it much easier to update results when the data change.) Scripts also make it easy to automate a sequence of tasks that can be integrated into other processes. Many R users who have used other software report that they can do their data analyses in a fraction of the time. Graphics and data visualization. One of the design principles of R was that visualization of data through charts and graphs is an essential part of the data analysis process. As a result, it has excellent tools for creating graphics, from staples like bar charts and scatterplots to multi-panel Lattice charts to brand new graphics of your own devising. R's graphical system is heavily influenced by thought leaders in data visualization like Bill Cleveland and Edward Tufte, and as a result graphics based on R appear regularly in venues like the New York Times, the Economist, and the FlowingData blog. A flexible statistical analysis toolkit. All of the standard data analysis tools are built right into the R language: from accessing data in various formats, to data manipulation (transforms, merges, aggregations, etc.), to traditional and modern statistical models (regression, ANOVA, GLM, tree models, etc). All are included in an object-oriented framework that makes it easy to programatically extract out and combine just the information you need from the results, rather than having to cut-and-paste from a static report. Access to powerful, cutting-edge analytics. Leading academics and researches from around the world use R to develop the latest methods in statistics, machine learning, and predictive modeling. There are expansive, cutting-edge edge extensions to R in finance, genomics, and dozens of other fields. To date, more than 2000 packages extending the R language in every domain are available for free download, with more added every day. A robust, vibrant community. With thousands of contributors and more than two million users around the world, if you've got a question about R chances are, someone's answered it (or can). There's a wealth of community resources for R available on the Web, for help in just about every domain. Unlimited possibilities. With R, you're not restricted to choosing a pre-defined set of routines. You can use code contributed by others in the open-source community, or extend R with your own functions. And R is excellent for "mash-ups" with other applications: combine R with a MySQL database, an Apache web-server, and the Google Maps API and you've got yourself a real-time GIS analysis toolkit. That's just one big idea -- what's yours? source: http://www.inside-r.org/why-use-r
clemons_Z
clemons_Z
May 24 2021
4.0.5
5.0
May 24 2021
5.0
Version: 4.0.5
hannahkominsky67
hannahkominsky67
May 13 2021
4.0.5
5.0
May 13 2021
5.0
Version: 4.0.5
Ervins Strauhmanis
Ervins Strauhmanis
Jan 19 2018
5.0
Jan 19 2018
5.0
Version: null
Hachepunto
Hachepunto
Jul 31 2015
5.0
Jul 31 2015
5.0
Version: null
buffonm1
buffonm1
May 5 2015
5.0
May 5 2015
5.0
Version: null
NSA-not-horray
NSA-not-horray
Apr 20 2015
5.0
Apr 20 2015
5.0
Version: null
MikeChip
MikeChip
Apr 20 2015
5.0
Apr 20 2015
5.0
Version: null
anonymous-hummingbird-1667
Apr 7 2015
5.0
Version: null
Chuckk
Chuckk
Feb 9 2015
5.0
Feb 9 2015
5.0
Version: null
gedalyagottdenger
gedalyagottdenger
Jun 10 2014
3.0
Jun 10 2014
3.0
Version: null
Tobit
Tobit
Apr 12 2014
4.5
Apr 12 2014
4.5
Version: null
Gbisson
Gbisson
Feb 19 2014
4.5
Feb 19 2014
4.5
Version: null
Leon-Belmont
Leon-Belmont
Sep 28 2013
5.0
Sep 28 2013
5.0
Version: null
anonymous-dingo-1006
anonymous-dingo-1006
Sep 27 2013
5.0
Sep 27 2013
5.0
Version: null
Maexchen
Maexchen
Mar 25 2013
5.0
Mar 25 2013
5.0
Version: null
davedgd
davedgd
Aug 3 2012
5.0
Aug 3 2012
5.0
Version: null
Danlfsmith
Danlfsmith
Aug 3 2012
5.0
Aug 3 2012
5.0
Version: null
biop090
biop090
Jan 5 2012
5.0
Jan 5 2012
5.0
Version: null
Mrgando
Mrgando
Nov 1 2011
5.0
Nov 1 2011
5.0
Version: null
Dedalus271
Dedalus271
Apr 14 2011
3.0
Apr 14 2011
3.0
Version: null
Pedroj
Pedroj
Sep 26 2010
5.0
Sep 26 2010
5.0
Version: null
Joachimr
Joachimr
Mar 24 2009
5.0
Mar 24 2009
5.0
Version: null
Guest
Guest
Oct 22 2004
4.3
Oct 22 2004
4.3
Version: null