Pspp For Mac Free Download
2021年6月23日Download here: http://gg.gg/v3zt2
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Downloads Stable Release: pspp-1.4.0-2.dmg, released on August 15th 2020, should work for all MacOS versions starting from MacOS 10.7 (Lion) Old Stable Release: pspp-1.2.0-2.dmg, released on November 6th 2018, updated to 1.2.0-1 for MacOS on April 10th 2019, updated to 1.2.0-2 on November 17th 2019. Jul 05, 2018 Trusted Mac download PSPP 1.3.0. Virus-free and 100% clean download. Get PSPP alternative downloads. Our software library provides a free download of PSPP 1.3.0 for Mac. The most popular versions of the program are 0.8 and 0.7. This free software for Mac OS X was originally designed by GNU. The bundle id for this app is org.gnu.pspp. The software lies within Developer Tools, more precisely General. PSPP for Mac 82,175 downloads Updated: September 7, 2020 GPL / Donationware 3.4/5 101 A free and open-source program specially designed for students, social scientists and statisticians who need to.
Updated 10/30/2020
Corolla Site
What about cryptographic signing and error messages when you try to install free statistical software for Macs? See our “signing page.” .. and does this work on Mojave? Is it signed and 64-bit?
Sponsor this site; for $25/month ($225/year) you can remove all other ads from MacStats.org!Meet the free SPSS clones
I have taught statistics using JASP, Jamovi, and PSPP. Each has advantages and disadvantages, and there is nothing stopping you from using all three depending on what you are trying to do. Ironically, each one has a much faster user interface than SPSS—and all import and export SPSS .sav and syntax files.
JASP is a fork of (it was originally based on) Jamovi Hp deskjet 1000 j110 series software download for mac. ; both are still under active development, which have fairly similar user interfaces, and both saved a good deal of time and trouble by not reinventing the wheel—they are essentially user interfaces for another statistics program, the hard-to-learn-and-use R.
The programs have spreadsheet-like data editors, but it’s best to prepare information for them somewhere else; they let you computer variables, but in a clunky and hard to use way. Importing variable labels and missing values from SPSS files sometimes fails (I’ve only seen the missing values problem on Windows), a major drawback to programs that will read SPSS files otherwise.
JASP and Jamovi share lightning-fast speed; a wide range of statistics, with extra plugins on Jamovi; and easy installation on Macs, Windows, and Linux. Their basic interface has an Office 365-style open/save/print/export tab; options on the left, output on the right layout; instant changes to the output if you change the input; and export of both data and output, as desired.
There’s a third SPSS clone, one which keeps most of the user interface from a relatively ancient version of SPSS: PSPP. At the moment there are some nasty bugs, but overall it might be easier for many people to use than JASP and Jamovi. It’s easier to master if you’re used to SPSS, but development has been very slow and JASP and Jamovi may be better options for that reason—unless you do a lot of computes and recodes and other data manipulation, or do a lot of t-tests. Then PSPP is the best choice. Spider solitaire free download for mac.JASP/Jamovi vs PSPPJASP and JamoviPSPPt-testsShared variance onlyShared and unique varianceCostFreeFreeOutputCopies as tablesCopies as plain textMore modules?YesNoWindowsOne triple-pane windowThree windowsSyntaxNoYes, SPSSContextual helpYes, nicely integratedNoCan log commands to a fileYes (can’t easily replay)In theory/not workingMac open/save/print boxesYesNoCan use as SPV file viewerYes!JASP vs Jamovi vs PSPP: comparing free statistics softwareJASPJamoviPSPPRegressionStepwise, forward, backwardEnter (supports multi-step)Enter (one step)Missing valuesProgram-wide onlyBy variableBy variableStatistics engineRRPSPPThe SPSS clones in more detailPSPP: First clone of SPSS, with many bugs stomped out
Current Version: 1.41; Mac up to 1.4
Listing updated 10/30/2020
Last known software update: August 2020 (Mac version)
Note: Catalina version stable; unsigned software
PSPP is a free SPSS clone with a Mac version you can download from this site (it’s unsigned). It is also in MacPorts, but that’s another level of effort. The pre-compiled Mac version is under 60 MB, while some other free software can take half a gigabyte; it loads almost instantly. SPSS is far slower in both calculations and launching. The user interface is nice and fast.
PSPP is aimed at social scientists, business people, and students, with a convenient, easy to learn interface. It is not quite as easy to install as it could be, unless you run Linux, which is its ideal environment (PSPPire).
The interface is similar to SPSS, though there are some oddities including having menus in the windows and not in the menubar; and using its own version of the open/save dialogue box. It includes common folders in the open/save box, including Desktop, Home, and disk root, but lacks custom folders (including OneDrive and Dropbox) you may have in your Finder sidebar. (Version 1.4 fixed problems with crashing on use of arrow keys in the open/save dialogue and autorecode. Mojave-specific bugs: “Recently used files” do not work, and the program still can’t find .sav files unless you specify ’all files.’ Oddly enough, these are not issues in Catalina.)
PSPP imports SPSS data files, long variable names, and variable and value labels. Common options are included in some dialogue boxes without the need to dig deeper. Development seemed to accelerate in the last few years, though it’s not moving as quickly as JASP and Jamovi are.
While you can copy from the output window, you have to copy from the left-hand contents, not from the main pane. The output window yields plain-text, delimited by spaces and pipes, just as SPSS 4 did. That’s not ideal for importing to spreadsheets or word processors, unless you’re really, really good at using BBEdit. There’s also no way to clear anything from the output window; and you have to use control keys instead of command keys.
The capabilities are impressive, including graphing, data transformation, crosstabs, tables, various t-tests, ANOVA, regressions, factor analysis, ROC curves, and nonparametric tests. It’s a fine way to avoid spending thousands of dollars on the big cheese. A great deal of work has gone into the analyses themselves, and the routines the program does run are well fleshed out. Pspp Download Android
The user interface can be awkward, but it’s fast both in the user interface and in the calculations; while on SPSS it takes a long time for windows to form and disappear.
Oh, and one more thing: you can get rid of the slow, buggy 740 megabyte SPSS “SmartViewer.” PSPP will happily open SPV files with the original formatting. It’s amazing. JASP: the first really good effort at making R more accessible
Current Version: 0.13.1
Listing updated: July 2020; program updated in 2020
Not signed by Apple (you may see a warning)
JASP was created as “a low fat alternative to SPSS, a delicious alternative to R,” and comes out of the University of Amsterdam (its 650MB weight is below SPSS’ gigabyte-plus).
JASP uses the native open/save dialogue box, albeit with a weird Microsoft Office-style setup requiring more than one click; and JASP is easy to install. It would be very nice if it was signed.
The software looks and feels like SPSS to a degree; it feels almost as native a SPSS. Calculations and screen drawing are far, far, far faster than in “real SPSS” — when you select the tests, they might actually be pumped out before your finger is fully off the mouse. Stepwise regression is supported (unlike Jamovi). However, when you do t-tests, if equal variances are not present, it only prints out a warning, rather than using the alternative method of calculating t.
We loaded our test file instantly — and ran descriptives instantly. Survey researchers will be happy to know they can assign value labels — and unhappy to know they must be done variable by variable, without syntax. The labels are retroactively applied to whatever is in the output window, very rapidly. Unfortunately, too, variable labels are not supported (though value labels are)—nor is there a clear way to compute new variables. Presumably one has to export the data, make the changes, and bring it back again. You can’t mark missing values variable-by-variable; missing values are applied to the entire dataset, which is a bit nuts.
Oddly, t-tests in both JASP and Jamovi are done only with the assumption of shared variance, and a warning to tell you if that assumption is violated.
JASP is still being developed fairly quickly; but the lack of variable labels is a major drawback from PSPP. The clever user interface, allowing users to go back and change things in a past run simply by clicking on it in the output pane, is pretty cool, though (and shared with Jamovi); and the speed is terrific, if not quite at Stata levels. Pretty much everything is instant, while on SPSS it takes a long time for windows to form and disappear.
JASP’s advantage over Jamovi is that it supports forward, backward, and stepwise regression, while Jamovi only supports ’Enter.’ The reason is ideology, so we don’t expect that to change. There is a great deal of documentation at the site Jasp for Nonprofits which sadly has not been updated since 2016, and the newish (2019) book Learning Statistics with JASP. There is also a new Machine Learning module with 13 “analyses that can be used for supervised and unsupervised learning.”
Dive more deeply into JASP (full MacStats review).Jamovi: deceptively powerful
Current Version: 1.25
Listing updated: 7/2020; program updated 2020
Cryptographically signed by Apple
Jamovi: A free, open source package, built on top of an R foundation (Thanks, Dr. Kim-Oliver Tietze). Don’t let that put you off: Jamovi uses a simple spreadsheet interface with full graphics, and while it allows you to use syntax, you can also use menus. You can edit via spreadsheet; and your data, analyses, and options are saved in a single file, so others can reproduce your work. A large number of analyses are easy to find, or you can use R syntax.
The results are attractive (see above), with menus that will be familiar to any SPSS users — and with many options. Copying and pasting output is cleverly done; right-click on a section of output, and you can paste it into Word as a nicely formatted table. Paste into BBEdit, and it will be plain-text, formatted with spaces. Plots can also be copied and pasted, but seem to be limited to screen resolution; there are three built in plot themes, including an SPSS-clone one.
A syntax mode shows the generated R syntax for each menu command, helping you to learn R syntax or make scripts to reproduce the same actions over and over, .. except for importing data. Data can be imported in numerous ways, including formatted SPSS files and, according to the programmers, SAS and Stata files. When we imported an SPSS file, value labels came through, but it does not support variable labels at all. Likewise, it did not export variable labels consistently. Export from Jamovi to SPSS resulted in errors on some data files as the number of characters in some fields was not correctly marked.
Jamovi is fairly fast, but (like PSPP) doesn’t fully use the Mac interface; pretty much everything is instant, while on SPSS it takes a long time for windows to form and disappear.
Jamovi’s menus are kept within its own window instead of at the top of the screen, and the open/save dialogue box is very different, though it does show shortcuts for the documents, downloads, desktop, and home folders (it also has the odd new Microsoft approach to open/save/print, creating a whole new window/interface for it). You can, however, drag and drop data files onto it — saving time.
One downside: for ideological reasons, you only get Enter for linear regression. Now, though, it allows you to do multiple blocks, so you can still do sensible multiple regressions. Also, as with JASP, it will do t-tests only one way, assuming equal variances, giving you a footnote to tell you if the assumption has been violated.
Newer versions of Jamovi support having different missing values for each variable, an advantage over JASP.
Developer Jonathon Love pointed us to the Jamovi library of extra procedures, which is expanding fairly rapidly. A long, well-illustrated Jamovi blog post also goes over the fine graphics capabilities within Jamovi, which PSPP can only dream of.
The program is almost 700 megabytes in size, due largely to the integrated software — R, Electron, Mantle, Python, and ReactiveCoca. Accuracy is pretty much assured by the R underpinnings.
Dive more deeply into Jamovi (full MacStats review).Free and promising general statistics software (other than the SPSS clones)Past 4 (PAleontological STatistics): an absurdly wide-ranging, easy to use package
Current Version: 4.03
Listing updated: 8/2020 (program updated July 2020)
64-bit and Catalina capable
Not signed by Apple (you may see a warning)
“Past is free software for scientific data analysis, with functions for data manipulation, plotting, univariate and multivariate statistics, ecological analysis, time series and spatial analysis, morphometrics and stratigraphy.” That said, Dennis Helsel wrote, “While its name shows its origin (Paleontology), it is a full-fledged stat package which includes multivariate and permutation tests, with a nice interface.” There is good support for geographical and map-based statistics.
When Dennis says “full-fledged,” he isn’t kidding — the range of this software is stunning. Yet, the download is a mere 10 MB — far, far, far less than many others. What’s more, every new version brings a wide range of new features.
Our test file imported in less than a second, but be warned that import formats are limited and exclude SPSS files; some rather esoteric formats are accepted, though, and you can copy and paste from Excel (with caution). Summary statistics came in a fraction of a second on a laptop. Our survey file never caused more than a slight pause. In the past, very large files choked the software, but we haven’t tested version 4 yet.
PDF manual. Dive more deeply into PAST (full MacStats review).Other free general statistics softwareSageMath
64-bit compatible
Current Version: 8.7
Listing updated: 4-1-19
Size: 3.5 GB (yes, GB)
SageMath is not specifically for statistics; it’s general math software, but it has the ability to do numerous statistical processes including graphing/plotting. It can be used for just about any type of math, and can be used either with the command line or or from a web browser. You can install it onto a server if you want, and create embedded graphics, typset-style math expressions, and more; it also includes sharing. The program was designed for both education and research. It is not a typical Mac program; it has a command line element and is accessed from browsers.
SageMath was built atop existing packages including NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, and R.How To Download PsppMacAnova
Configurations Available: Intel processors (10.6+)
Current Version: 5.06.5
Unsigned and not 64-bit
Listing updated: August 2020 (software last updated June 2012)
MacAnova is a free, noncommercial, interactive statistical analysis program developed by Gary Oehlert and Christopher Bingham of the University of Minnesota School of Statistics. Their web site notes:
MacAnova has many capabilities but its strengths are analysis of variance and related models, matrix algebra, time series analysis (time and frequency domain), and (to a lesser extent) uni- and multi-variate exploratory statistics. MacAnova has a functional/command oriented interface. The Macintosh and Windows versions also have several window/menu/mouse type features. Although the language and syntax are S-like, MacAnova is not S or R.
MacAnova is Intel native, and there is source code available. The program started up very quickly on a Intel Mini and had a fairly good menu system, which output visible code that we could copy and manipulate, or save and run later. It is almost similar to SPSS 4 in that regard, though better integrated into the system and lacking a separate output window. MacANOVA includes linear model and GLM routines.
Unless you really need something unique in it, though, look elsewhere, since the last update was in 2012.Regress+
Current Version: 2.8 (updated May 2019; prior version was dated May 2017)
Listing updated: August 2019
64-bit, signed, works well in Mojave
Michael McLaughlin’s Regress+ is a free package that includes regression, stochastic modeling, bootstrapping and robust goodness of fit measures. The software and a tutorial are available at the Regress+ web site. Older versions are still available for older operation systems, while version 2.5 is available for OS X and 9.2.
The program is accompanied by full documentation in PDF form which doubles as a statistics reference guide.
Regress+ 2.7, née Regress+ 3.0, was a complete rewrite; it added data modeling (equations and distributions), extensive documentation, and publication quality graphics. Regress+ 2.8 was a substantial upgrade.
This program appears to cover every aspect of regression you can think of. It’s graphically oriented but has strong statistics. The code is “more than 100 times faster than before [2.7].” SOFA Statistics
Version 1.46; Listing updated August 2019; Code updated 11/2017
Windows, Linux versions at version 1.52 as of 7/2019
Not signed; 64-bit
SOFA Statistics (Statistics Open For All) emphasizes ease of use, discoverability, and clean reporting. It can connect directly to database sources, or use data brought in from spreadsheets. The usual statistical processes are available, including one-way ANOVA, t-tests, signed ranks, chi-square, and R; nested tables can be produced with row and column percentages, totals, standard deviations, means, medians, and sums.
SOFA Statistics is written in Python, using a wxPython widget toolkit. Statistics come via the Scipy stats module. Analysis and reporting can be automated using Python scripts, either exported from SOFA or written by hand.
Data can be brought in from Google spreadsheets and CSV files. Dynamic charts use html, SVG, and Javascript. This project was under rapid development for a while, but updates have slowed down. The last blog entry was in January 2017, and there were just two in 2016, following a fairly busy 2009-2015. I was unable to open the latest SOFA in High Sierra in November 2018; the program opened and immediately crashed. Note: Same in July 2019. However, Windows and Linux versions are still good. Preparing to move to dead software page.Statistics101
Configurations: Requires Java; should work on Intel and PPC Macs
Cu
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Downloads Stable Release: pspp-1.4.0-2.dmg, released on August 15th 2020, should work for all MacOS versions starting from MacOS 10.7 (Lion) Old Stable Release: pspp-1.2.0-2.dmg, released on November 6th 2018, updated to 1.2.0-1 for MacOS on April 10th 2019, updated to 1.2.0-2 on November 17th 2019. Jul 05, 2018 Trusted Mac download PSPP 1.3.0. Virus-free and 100% clean download. Get PSPP alternative downloads. Our software library provides a free download of PSPP 1.3.0 for Mac. The most popular versions of the program are 0.8 and 0.7. This free software for Mac OS X was originally designed by GNU. The bundle id for this app is org.gnu.pspp. The software lies within Developer Tools, more precisely General. PSPP for Mac 82,175 downloads Updated: September 7, 2020 GPL / Donationware 3.4/5 101 A free and open-source program specially designed for students, social scientists and statisticians who need to.
Updated 10/30/2020
Corolla Site
What about cryptographic signing and error messages when you try to install free statistical software for Macs? See our “signing page.” .. and does this work on Mojave? Is it signed and 64-bit?
Sponsor this site; for $25/month ($225/year) you can remove all other ads from MacStats.org!Meet the free SPSS clones
I have taught statistics using JASP, Jamovi, and PSPP. Each has advantages and disadvantages, and there is nothing stopping you from using all three depending on what you are trying to do. Ironically, each one has a much faster user interface than SPSS—and all import and export SPSS .sav and syntax files.
JASP is a fork of (it was originally based on) Jamovi Hp deskjet 1000 j110 series software download for mac. ; both are still under active development, which have fairly similar user interfaces, and both saved a good deal of time and trouble by not reinventing the wheel—they are essentially user interfaces for another statistics program, the hard-to-learn-and-use R.
The programs have spreadsheet-like data editors, but it’s best to prepare information for them somewhere else; they let you computer variables, but in a clunky and hard to use way. Importing variable labels and missing values from SPSS files sometimes fails (I’ve only seen the missing values problem on Windows), a major drawback to programs that will read SPSS files otherwise.
JASP and Jamovi share lightning-fast speed; a wide range of statistics, with extra plugins on Jamovi; and easy installation on Macs, Windows, and Linux. Their basic interface has an Office 365-style open/save/print/export tab; options on the left, output on the right layout; instant changes to the output if you change the input; and export of both data and output, as desired.
There’s a third SPSS clone, one which keeps most of the user interface from a relatively ancient version of SPSS: PSPP. At the moment there are some nasty bugs, but overall it might be easier for many people to use than JASP and Jamovi. It’s easier to master if you’re used to SPSS, but development has been very slow and JASP and Jamovi may be better options for that reason—unless you do a lot of computes and recodes and other data manipulation, or do a lot of t-tests. Then PSPP is the best choice. Spider solitaire free download for mac.JASP/Jamovi vs PSPPJASP and JamoviPSPPt-testsShared variance onlyShared and unique varianceCostFreeFreeOutputCopies as tablesCopies as plain textMore modules?YesNoWindowsOne triple-pane windowThree windowsSyntaxNoYes, SPSSContextual helpYes, nicely integratedNoCan log commands to a fileYes (can’t easily replay)In theory/not workingMac open/save/print boxesYesNoCan use as SPV file viewerYes!JASP vs Jamovi vs PSPP: comparing free statistics softwareJASPJamoviPSPPRegressionStepwise, forward, backwardEnter (supports multi-step)Enter (one step)Missing valuesProgram-wide onlyBy variableBy variableStatistics engineRRPSPPThe SPSS clones in more detailPSPP: First clone of SPSS, with many bugs stomped out
Current Version: 1.41; Mac up to 1.4
Listing updated 10/30/2020
Last known software update: August 2020 (Mac version)
Note: Catalina version stable; unsigned software
PSPP is a free SPSS clone with a Mac version you can download from this site (it’s unsigned). It is also in MacPorts, but that’s another level of effort. The pre-compiled Mac version is under 60 MB, while some other free software can take half a gigabyte; it loads almost instantly. SPSS is far slower in both calculations and launching. The user interface is nice and fast.
PSPP is aimed at social scientists, business people, and students, with a convenient, easy to learn interface. It is not quite as easy to install as it could be, unless you run Linux, which is its ideal environment (PSPPire).
The interface is similar to SPSS, though there are some oddities including having menus in the windows and not in the menubar; and using its own version of the open/save dialogue box. It includes common folders in the open/save box, including Desktop, Home, and disk root, but lacks custom folders (including OneDrive and Dropbox) you may have in your Finder sidebar. (Version 1.4 fixed problems with crashing on use of arrow keys in the open/save dialogue and autorecode. Mojave-specific bugs: “Recently used files” do not work, and the program still can’t find .sav files unless you specify ’all files.’ Oddly enough, these are not issues in Catalina.)
PSPP imports SPSS data files, long variable names, and variable and value labels. Common options are included in some dialogue boxes without the need to dig deeper. Development seemed to accelerate in the last few years, though it’s not moving as quickly as JASP and Jamovi are.
While you can copy from the output window, you have to copy from the left-hand contents, not from the main pane. The output window yields plain-text, delimited by spaces and pipes, just as SPSS 4 did. That’s not ideal for importing to spreadsheets or word processors, unless you’re really, really good at using BBEdit. There’s also no way to clear anything from the output window; and you have to use control keys instead of command keys.
The capabilities are impressive, including graphing, data transformation, crosstabs, tables, various t-tests, ANOVA, regressions, factor analysis, ROC curves, and nonparametric tests. It’s a fine way to avoid spending thousands of dollars on the big cheese. A great deal of work has gone into the analyses themselves, and the routines the program does run are well fleshed out. Pspp Download Android
The user interface can be awkward, but it’s fast both in the user interface and in the calculations; while on SPSS it takes a long time for windows to form and disappear.
Oh, and one more thing: you can get rid of the slow, buggy 740 megabyte SPSS “SmartViewer.” PSPP will happily open SPV files with the original formatting. It’s amazing. JASP: the first really good effort at making R more accessible
Current Version: 0.13.1
Listing updated: July 2020; program updated in 2020
Not signed by Apple (you may see a warning)
JASP was created as “a low fat alternative to SPSS, a delicious alternative to R,” and comes out of the University of Amsterdam (its 650MB weight is below SPSS’ gigabyte-plus).
JASP uses the native open/save dialogue box, albeit with a weird Microsoft Office-style setup requiring more than one click; and JASP is easy to install. It would be very nice if it was signed.
The software looks and feels like SPSS to a degree; it feels almost as native a SPSS. Calculations and screen drawing are far, far, far faster than in “real SPSS” — when you select the tests, they might actually be pumped out before your finger is fully off the mouse. Stepwise regression is supported (unlike Jamovi). However, when you do t-tests, if equal variances are not present, it only prints out a warning, rather than using the alternative method of calculating t.
We loaded our test file instantly — and ran descriptives instantly. Survey researchers will be happy to know they can assign value labels — and unhappy to know they must be done variable by variable, without syntax. The labels are retroactively applied to whatever is in the output window, very rapidly. Unfortunately, too, variable labels are not supported (though value labels are)—nor is there a clear way to compute new variables. Presumably one has to export the data, make the changes, and bring it back again. You can’t mark missing values variable-by-variable; missing values are applied to the entire dataset, which is a bit nuts.
Oddly, t-tests in both JASP and Jamovi are done only with the assumption of shared variance, and a warning to tell you if that assumption is violated.
JASP is still being developed fairly quickly; but the lack of variable labels is a major drawback from PSPP. The clever user interface, allowing users to go back and change things in a past run simply by clicking on it in the output pane, is pretty cool, though (and shared with Jamovi); and the speed is terrific, if not quite at Stata levels. Pretty much everything is instant, while on SPSS it takes a long time for windows to form and disappear.
JASP’s advantage over Jamovi is that it supports forward, backward, and stepwise regression, while Jamovi only supports ’Enter.’ The reason is ideology, so we don’t expect that to change. There is a great deal of documentation at the site Jasp for Nonprofits which sadly has not been updated since 2016, and the newish (2019) book Learning Statistics with JASP. There is also a new Machine Learning module with 13 “analyses that can be used for supervised and unsupervised learning.”
Dive more deeply into JASP (full MacStats review).Jamovi: deceptively powerful
Current Version: 1.25
Listing updated: 7/2020; program updated 2020
Cryptographically signed by Apple
Jamovi: A free, open source package, built on top of an R foundation (Thanks, Dr. Kim-Oliver Tietze). Don’t let that put you off: Jamovi uses a simple spreadsheet interface with full graphics, and while it allows you to use syntax, you can also use menus. You can edit via spreadsheet; and your data, analyses, and options are saved in a single file, so others can reproduce your work. A large number of analyses are easy to find, or you can use R syntax.
The results are attractive (see above), with menus that will be familiar to any SPSS users — and with many options. Copying and pasting output is cleverly done; right-click on a section of output, and you can paste it into Word as a nicely formatted table. Paste into BBEdit, and it will be plain-text, formatted with spaces. Plots can also be copied and pasted, but seem to be limited to screen resolution; there are three built in plot themes, including an SPSS-clone one.
A syntax mode shows the generated R syntax for each menu command, helping you to learn R syntax or make scripts to reproduce the same actions over and over, .. except for importing data. Data can be imported in numerous ways, including formatted SPSS files and, according to the programmers, SAS and Stata files. When we imported an SPSS file, value labels came through, but it does not support variable labels at all. Likewise, it did not export variable labels consistently. Export from Jamovi to SPSS resulted in errors on some data files as the number of characters in some fields was not correctly marked.
Jamovi is fairly fast, but (like PSPP) doesn’t fully use the Mac interface; pretty much everything is instant, while on SPSS it takes a long time for windows to form and disappear.
Jamovi’s menus are kept within its own window instead of at the top of the screen, and the open/save dialogue box is very different, though it does show shortcuts for the documents, downloads, desktop, and home folders (it also has the odd new Microsoft approach to open/save/print, creating a whole new window/interface for it). You can, however, drag and drop data files onto it — saving time.
One downside: for ideological reasons, you only get Enter for linear regression. Now, though, it allows you to do multiple blocks, so you can still do sensible multiple regressions. Also, as with JASP, it will do t-tests only one way, assuming equal variances, giving you a footnote to tell you if the assumption has been violated.
Newer versions of Jamovi support having different missing values for each variable, an advantage over JASP.
Developer Jonathon Love pointed us to the Jamovi library of extra procedures, which is expanding fairly rapidly. A long, well-illustrated Jamovi blog post also goes over the fine graphics capabilities within Jamovi, which PSPP can only dream of.
The program is almost 700 megabytes in size, due largely to the integrated software — R, Electron, Mantle, Python, and ReactiveCoca. Accuracy is pretty much assured by the R underpinnings.
Dive more deeply into Jamovi (full MacStats review).Free and promising general statistics software (other than the SPSS clones)Past 4 (PAleontological STatistics): an absurdly wide-ranging, easy to use package
Current Version: 4.03
Listing updated: 8/2020 (program updated July 2020)
64-bit and Catalina capable
Not signed by Apple (you may see a warning)
“Past is free software for scientific data analysis, with functions for data manipulation, plotting, univariate and multivariate statistics, ecological analysis, time series and spatial analysis, morphometrics and stratigraphy.” That said, Dennis Helsel wrote, “While its name shows its origin (Paleontology), it is a full-fledged stat package which includes multivariate and permutation tests, with a nice interface.” There is good support for geographical and map-based statistics.
When Dennis says “full-fledged,” he isn’t kidding — the range of this software is stunning. Yet, the download is a mere 10 MB — far, far, far less than many others. What’s more, every new version brings a wide range of new features.
Our test file imported in less than a second, but be warned that import formats are limited and exclude SPSS files; some rather esoteric formats are accepted, though, and you can copy and paste from Excel (with caution). Summary statistics came in a fraction of a second on a laptop. Our survey file never caused more than a slight pause. In the past, very large files choked the software, but we haven’t tested version 4 yet.
PDF manual. Dive more deeply into PAST (full MacStats review).Other free general statistics softwareSageMath
64-bit compatible
Current Version: 8.7
Listing updated: 4-1-19
Size: 3.5 GB (yes, GB)
SageMath is not specifically for statistics; it’s general math software, but it has the ability to do numerous statistical processes including graphing/plotting. It can be used for just about any type of math, and can be used either with the command line or or from a web browser. You can install it onto a server if you want, and create embedded graphics, typset-style math expressions, and more; it also includes sharing. The program was designed for both education and research. It is not a typical Mac program; it has a command line element and is accessed from browsers.
SageMath was built atop existing packages including NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, and R.How To Download PsppMacAnova
Configurations Available: Intel processors (10.6+)
Current Version: 5.06.5
Unsigned and not 64-bit
Listing updated: August 2020 (software last updated June 2012)
MacAnova is a free, noncommercial, interactive statistical analysis program developed by Gary Oehlert and Christopher Bingham of the University of Minnesota School of Statistics. Their web site notes:
MacAnova has many capabilities but its strengths are analysis of variance and related models, matrix algebra, time series analysis (time and frequency domain), and (to a lesser extent) uni- and multi-variate exploratory statistics. MacAnova has a functional/command oriented interface. The Macintosh and Windows versions also have several window/menu/mouse type features. Although the language and syntax are S-like, MacAnova is not S or R.
MacAnova is Intel native, and there is source code available. The program started up very quickly on a Intel Mini and had a fairly good menu system, which output visible code that we could copy and manipulate, or save and run later. It is almost similar to SPSS 4 in that regard, though better integrated into the system and lacking a separate output window. MacANOVA includes linear model and GLM routines.
Unless you really need something unique in it, though, look elsewhere, since the last update was in 2012.Regress+
Current Version: 2.8 (updated May 2019; prior version was dated May 2017)
Listing updated: August 2019
64-bit, signed, works well in Mojave
Michael McLaughlin’s Regress+ is a free package that includes regression, stochastic modeling, bootstrapping and robust goodness of fit measures. The software and a tutorial are available at the Regress+ web site. Older versions are still available for older operation systems, while version 2.5 is available for OS X and 9.2.
The program is accompanied by full documentation in PDF form which doubles as a statistics reference guide.
Regress+ 2.7, née Regress+ 3.0, was a complete rewrite; it added data modeling (equations and distributions), extensive documentation, and publication quality graphics. Regress+ 2.8 was a substantial upgrade.
This program appears to cover every aspect of regression you can think of. It’s graphically oriented but has strong statistics. The code is “more than 100 times faster than before [2.7].” SOFA Statistics
Version 1.46; Listing updated August 2019; Code updated 11/2017
Windows, Linux versions at version 1.52 as of 7/2019
Not signed; 64-bit
SOFA Statistics (Statistics Open For All) emphasizes ease of use, discoverability, and clean reporting. It can connect directly to database sources, or use data brought in from spreadsheets. The usual statistical processes are available, including one-way ANOVA, t-tests, signed ranks, chi-square, and R; nested tables can be produced with row and column percentages, totals, standard deviations, means, medians, and sums.
SOFA Statistics is written in Python, using a wxPython widget toolkit. Statistics come via the Scipy stats module. Analysis and reporting can be automated using Python scripts, either exported from SOFA or written by hand.
Data can be brought in from Google spreadsheets and CSV files. Dynamic charts use html, SVG, and Javascript. This project was under rapid development for a while, but updates have slowed down. The last blog entry was in January 2017, and there were just two in 2016, following a fairly busy 2009-2015. I was unable to open the latest SOFA in High Sierra in November 2018; the program opened and immediately crashed. Note: Same in July 2019. However, Windows and Linux versions are still good. Preparing to move to dead software page.Statistics101
Configurations: Requires Java; should work on Intel and PPC Macs
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