R Project is an amazingly powerful but free tool for statisticians and researchers which can do pretty much everything the commercial software Stata can do and more. However, compared to Wizard the learning curve of R is very steep indeed as you can see from the R Project manual. Since R Project is completely open source and developed for free by various contributors, there has been little effort to make it accessible to newcomers. You can however make things a bit easier by installing a Graphical User Interface (GUI) such as R Commander and there are various books on how to use R with R Commander to help you.
G*Power is a small German statistical analysis software for Mac that can compute statistical power analyses for tests such as t tests, F tests, χ2 tests, z tests and some exact tests. You can also use G*Power to compute effect sizes and to graphically display results of power analyses.
PSPP is a free statistical anaylsis software for Mac for analysis of sampled data. PSPP is similar to a free version of SPSS which we covered in our in-depth look at the best statistical software for Mac. However, PSPP is aimed more at statisticians, social scientists and students that need quick analysis of sampled data. PSPP can perform various complex data transformation functions. For example, PSPP can handle recoding, weighting and handling of missing values, compute descriptive statistics, crosstabs and explore tables, T-tests, one-way ANOVA, factor analysis, Chronbach Alpha, ROC curve and some non-parametric tests.
SOFA (Statistics Open For All) is a surprisingly good open source statistical software for Mac and Windows. If the lack of user interface in much of the statistical software featured here intimidates you, SOFA may be a better choice. SOFA is a user-friendly statistics analysis and reporting program with a refreshing focus on ease of use and elegant graphical displays.
IBM® SPSS® Statistics is a powerful statistical software platform. It offers a user-friendly interface and a robust set of features that lets your organization quickly extract actionable insights from your data. Advanced statistical procedures help ensure high accuracy and quality decision making. All facets of the analytics lifecycle are included, from data preparation and management to analysis and reporting.
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.
SupportOn a Mac NCSS and PASS on a MacHere we look at some options for running PASS and NCSS statistical software for Mac users.Can NCSS or PASS Software be run on a Mac?Though NCSS and PASS software were not designed for Mac, they can be run by installing the Windows operating system on your Mac computer. Macs built after 2005 use the same microprocessors as Windows computers, and therefore can also run the Windows operating system.How do I get Windows on my Mac?At least three options are available for installing the Windows operating system on a Mac. Each of these options also requires that you have a Windows license available for installation.Parallels Desktop and VMWare FusionBoth of these products allow the user to run Windows and Mac OS X applications side-by-side. View the details and price for Parallels Desktop or the details and price of VMWare Fusion. For each of these products, a license to Windows is also required. NCSS makes no specific recommendation as to which of these products is better. With Parallels Desktop or VMWare Fusion and a Windows license, any Windows application (not just NCSS or PASS) can be run on your Mac.Apple Boot CampApple Boot Camp differs from Parallels Desktop and VMWare Fusion in that Windows and OS X are not run side-by-side, but instead gives the option of booting up the Mac using either Windows or OS X. Boot Camp is a built-in utility in all new Macs. There is no additional cost for Apple Boot Camp, but you must have a Windows license. As with Parallels Desktop and VMWare Fusion, any Windows application (not just NCSS or PASS) can be run on your Mac. As Statistician teaching statistics in the University, I have to say that NCSS is the tool that I have used since 1997. With all the procedures that you need for research or to make a good, informative presentation, it can be used for teaching in a university. Here in Idesem-Chile we have found it to be the best tool to support our measurement activities. I recommend this tool to make your job more enjoyable!
I could go on about how great Wizard is, but nothing explains Wizard better than the fun and excitement of using Wizard for the first time. So go ahead: download the free trial and start experiencing the joy of Wizard for yourself.
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: 2023/02/09, by Simon Urbanek 2b1af7f3a8