R for Mac OS X

Name: R for Mac OS X
Rating: 4 (6 reviews)
Author: R core team

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R for Mac OS X Analysis

AI Assisted Content · June 11, 2026

Not written by CNET Staff.

R for Mac OS X is a robust statistical computing software designed for data analysis and visualization. It is part of the R programming language ecosystem, offering a wide range of statistical techniques, including linear and nonlinear modeling, time-series analysis, and clustering. This application is aimed at statisticians, data scientists, and researchers who require a powerful tool for data manipulation and reporting.

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The software supports a vast array of packages that extend its functionality, allowing users to customize their analytical processes. It features an intuitive interface tailored for Mac users, ensuring compatibility with the macOS environment. Additionally, R for Mac OS X provides comprehensive documentation and a supportive community, making it accessible for both beginners and experienced users in the field of data analysis.

R for Mac OS X

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Full Specifications

GENERAL

Release: July 16, 2020

Latest update: June 11, 2026

Version: 4.0.2

OPERATING SYSTEMS

Platform: Mac

Operating System: Mac OS X

Additional Requirements

macOS Catalina
macOS Mojave
macOS High Sierra

POPULARITY

Total Downloads: 106,715

Downloads Last Week: 0

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User Reviews

4/5

6 User Votes

i have not review
LaudannaFebruary 23, 2009
Pros
this program is free
Cons
this program is very low
Summary
very good for te easy use
Worth to be tried
gheperMay 9, 2005
Pros
Cons
Summary
This review was originally posted on VersionTracker.com. Nice job. Powerful and free.
Installer screws up the system
davids-world.comJune 25, 2004
Pros
Cons
Summary
This review was originally posted on VersionTracker.com. I strongly recommend against installing 1.9.1. The installer package seems to change the permissions on the /Applications folder (and probably on other folders as well), which means that a normal user (that does not happen to have user id 501) cannot open the Applications folder anymore. Running Disk Utility ("repair permissions") helps in such a case -- provided you are able to run Disk Utility without accessing your Applications folder (which might be hard for the non-techie). It's hard to understand from a naive point of view why an Aqua application needs to install a framework into the library folder. But if it does, it better not mess up my system. The libxml package that is included does the same kind of BS, but this time with the less important /usr folder.
Nice, but could use improvements.
shaka-bra-yetiDecember 4, 2003
Pros
Cons
Summary
This review was originally posted on VersionTracker.com. Nice job integrating R with a nice GUI. Was using Fink version previously. I'd like to see a resizable command window (sliding partition maybe). A couple bugs I've noticed was a crash when I quit X11 and when installing Bioconductor, it seems confused about what version is the latest (currently 1.3).
VersionTrackerUserOpinionMay 1, 2002
Pros
Cons
Summary
This review was originally posted on VersionTracker.com. Archive still has 1.4.1 or 1.4.0 versions for Mac - it hasn't been compiled yet. But the old versions are great, especially the Mac OS
daver969January 18, 2002
Pros
Cons
Summary
This review was originally posted on VersionTracker.com. 4.5 stars R is awesome, the only gripes I have are 1) the text output in the results window is rather slow and 2) the

Developer’s Description

By R core team

GNU S statistical computing and graphics.

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, bioinformatics, ...) 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.

R for Mac OS X

R for Mac OS X Analysis

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User Reviews

i have not review

Worth to be tried

Installer screws up the system

Nice, but could use improvements.

Developer’s Description