R Statistics [HOT] Free Download For Mac
This directory contains binaries for a base distribution and packages to run on macOS. Releases for old Mac OS X systems (through Mac OS X 10.5) and PowerPC Macs can be found in the old directory.Note: Although we take precautions when assembling binaries, please use the normal precautions with downloaded executables.
R Statistics Free Download For Mac
Package binaries for R versions older than 3.2.0 are only available from the CRAN archive so users of such versions should adjust the CRAN mirror setting ( -archive.r-project.org) accordingly.R 4.2.2 "Innocent and Trusting" released on 2022/10/31 Please check the integrity of the downloaded package by checking the signature: pkgutil --check-signature R-4.2.2.pkg in the Terminal application. If Apple tools are not avaiable you can check the SHA1 checksum of the downloaded image: openssl sha1 R-4.2.2.pkgLatest release:R-4.2.2-arm64.pkg (notarized and signed)SHA1-hash: c3bb657ca6912b9b98e254f63434a365da26848f(ca. 86MB) for M1 and higher Macs only! R 4.2.2 binary for macOS 11 (Big Sur) and higher, Apple silicon arm64 build, signed and notarized package. Contains R 4.2.2 framework, R.app GUI 1.79 for Apple silicon Macs (M1 and higher), Tcl/Tk 8.6.12 X11 libraries and Texinfo 6.8. Important: this version does NOT work on older Intel-based Macs - see below for Intel version.Note: the use of X11 (including tcltk) requires XQuartz (version 2.8.1 or later). Always re-install XQuartz when upgrading your macOS to a new major version.This release uses Xcode 13.1 and experimental GNU Fortran 12 arm64 fork. If you wish to compile R packages which contain Fortran code, you may need to download GNU Fortran for arm64 from -project.org/tools. Any external libraries and tools are expected to live in /opt/R/arm64 to not conflict with Intel-based software and this build will not use /usr/local to avoid such conflicts (see the tools page for more details). R-4.2.2.pkg (notarized and signed)SHA1-hash: 99b8d184f855e630ac950ca4e62cb7fc9a1f7b2e(ca. 87MB) for Intel Macs R 4.2.2 binary for macOS 10.13 (High Sierra) and higher, Intel 64-bit (older Macs) build, signed and notarized package. Contains R 4.2.2 framework, R.app GUI 1.79 in 64-bit for Intel Macs, Tcl/Tk 8.6.6 X11 libraries and Texinfo 6.7. The latter two components are optional and can be ommitted when choosing "custom install", they are only needed if you want to use the tcltk R package or build package documentation from sources.Note: the use of X11 (including tcltk) requires XQuartz to be installed (version 2.7.11 or later) since it is no longer part of macOS. Always re-install XQuartz when upgrading your macOS to a new major version.This release supports Intel Macs, but it is also known to work using Rosetta2 on M1-based Macs. For native Apple silicon arm64 binary see above.Important: this release uses Xcode 12.4 and GNU Fortran 8.2. If you wish to compile R packages from sources, you may need to download GNU Fortran 8.2 - see the tools directory. NEWS (for Mac GUI)News features and changes in the R.app Mac GUIMac-GUI-1.78.tar.gz SHA1-hash: 23b3c41b7eb771640fd504a75e5782792dddb2bcSources for the R.app GUI 1.78 for macOS. This file is only needed if you want to join the development of the GUI (see also Mac-GUI repository), it is not intended for regular users. Read the INSTALL file for further instructions.Note: Previous R versions for El Capitan can be found in the el-capitan/base directory.Binaries for legacy OS X systems: R-3.6.3.nn.pkg (signed) SHA1-hash: c462c9b1f9b45d778f05b8d9aa25a9123b3557c4 (ca. 77MB) R 3.6.3 binary for OS X 10.11 (El Capitan) and higher, signed package. Contains R 3.6.3 framework, R.app GUI 1.70 in 64-bit for Intel Macs, Tcl/Tk 8.6.6 X11 libraries and Texinfo 5.2. The latter two components are optional and can be ommitted when choosing "custom install", they are only needed if you want to use the tcltk R package or build package documentation from sources. R-3.3.3.pkgMD5-hash: 893ba010f303e666e19f86e4800f1fbfSHA1-hash: 5ae71b000b15805f95f38c08c45972d51ce3d027(ca. 71MB)R 3.3.3 binary for Mac OS X 10.9 (Mavericks) and higher, signed package. Contains R 3.3.3 framework, R.app GUI 1.69 in 64-bit for Intel Macs, Tcl/Tk 8.6.0 X11 libraries and Texinfo 5.2. The latter two components are optional and can be ommitted when choosing "custom install", it is only needed if you want to use the tcltk R package or build package documentation from sources.Note: the use of X11 (including tcltk) requires XQuartz to be installed since it is no longer part of OS X. Always re-install XQuartz when upgrading your OS X to a new major version. R-3.2.1-snowleopard.pkgMD5-hash: 58fe9d01314d9cb75ff80ccfb914fd65SHA1-hash: be6e91db12bac22a324f0cb51c7efa9063ece0d0(ca. 68MB)R 3.2.1 legacy binary for Mac OS X 10.6 (Snow Leopard) - 10.8 (Mountain Lion), signed package. Contains R 3.2.1 framework, R.app GUI 1.66 in 64-bit for Intel Macs.This package contains the R framework, 64-bit GUI (R.app), Tcl/Tk 8.6.0 X11 libraries and Texinfop 5.2. GNU Fortran is NOT included (needed if you want to compile packages from sources that contain FORTRAN code) please see the tools directory.NOTE: the binary support for OS X before Mavericks is being phased out, we do not expect further releases! The new R.app Cocoa GUI has been written by Simon Urbanek and Stefano Iacus with contributions from many developers and translators world-wide, see "About R" in the GUI.Subdirectories: tools Additional tools necessary for building R for Mac OS X:Universal GNU Fortran compiler for Mac OS X (see R for Mac tools page for details). base Binaries of R builds for macOS 10.13 or higher (High Sierra), Intel build contrib Binaries of package builds for macOS 10.13 or higher (High Sierra), Intel build big-sur-arm64 Binaries for macOS 11 or higher (Big Sur) for arm64-based Macs (aka Apple silicon such as the M1 chip) el-capitan Binaries of package builds for OS X 10.11 or higher (El Capitan build) mavericks Binaries of package builds for Mac OS X 10.9 or higher (Mavericks build) old Previously released R versions for Mac OS X You may also want to read the R FAQ and R for Mac OS X FAQ. For discussion of Mac-related topics and reporting Mac-specific bugs, please use the R-SIG-Mac mailing list.Information, tools and most recent daily builds of the R GUI, R-patched and R-devel can be found at -project.org/. Please visit that page especially during beta stages to help us test the macOS binaries before final release!Package maintainers should visit CRAN check summary page to see whether their package is compatible with the current build of R for macOS.Binary libraries for dependencies not present here are available from -project.org/bin and corresponding sources at -project.org/src.Last modified: 2022/10/31, by Simon Urbanek
R is a free software environment for statistical computing andgraphics. It compiles and runs on a wide variety of UNIX platforms,Windows and MacOS. To download R,please choose your preferred CRAN mirror.
Important Note for Multi-User Installations: Before updating to Minitab Workspace, you should first verify you have the latest version of the License Manager. If you plan to mass deploy utilizing a software asset management tool, please download the Minitab Workspace Mass Deployment Package.
R is maintained by an international team of developers who make the language available through the web page of The Comprehensive R Archive Network. The top of the web page provides three links for downloading R. Follow the link that describes your operating system: Windows, Mac, or Linux.
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It includes functions to calculate z-scores and prevalence estimates (and CIs), and z-score summary statistics (and CIs) based on methodology recommended and described in the guide document jointly released by WHO and UNICEF Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. It provides results for the indicators: length/height-for-age, weight-for-age, weight-for-length, weight-for-height, body mass index-for-age, head circumference-for-age, arm circumference-for-age, triceps skinfold-for-age and subscapular skinfold-for-age. The package is available in the CRAN repository at -project.org/package=anthro.
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SPSS is a statistical analysis software program. SPSS is used to generate tabulated reports, charts, and plots of distributions and trends, descriptive statistics, and complex statistical analysis. UCSC has a site license for SPSS and it is available to all. Students access information here For more information, click here to [show]
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