The original Resampling Stats language and computer program were developed by Dr. Julian Simon and Peter Bruce to teach statistics. Salstat dates back to the early s and runs on Python; installing the free version on the Mac may require quite a bit of library-and-Python downloading, but a paid version makes everything easy. Current Version: 3. This is an exceedingly flexible program, with a large number of libraries and built in routines, and the ability to run many S or S-Plus programs.
R loads and runs quickly but has a steep learning curve. A simple and somewhat frustrating graphic user interface is included for Mac users; R Commander can be installed using the built-in package installer, which can also install file import features which aren't installed by default. R has a massive range of tests, PDF and PostScript output, a function to expand zip archives, and numerous other unexpected features.
For much more information about R, including advantages, drawbacks, resources, and tips, see our incredibly outdated R statistics software for the Mac page. R Studio is commercial open-source software, designed for creating and managing R applications rather than, say, doing exploratory research or testing the odd hypothesis. The Mac version seems to be developed at the same time as Linux and Windows versions. When you first load R Studio, it tells you to go back and install R.
Once you've done that and restarted, it finds R easily enough, and presents you with an integrated development environment IDE. R Studio never claims to be anything but an IDE, with many options and good operating-system integration. MacMCMC is part of a two-part set—the other part being a free ebook. Data can be imported from plain text UTF There are 27 built-in distributions, including 16 continuous, 8 discrete, and three homogeneous mixtures — Normal, Bivariate Normal, and Poisson; users can also define their own distributions.
There are 15 built-in functions. Reports include MAP, mean, median, mode, and Gelman-Rubin; credible intervals; trace; plots of marginals; and trace comparison for selected chains. The program has other features, described on its web site, along with a sample input, data, model, and output. Users can check for updates from a dropdown menu. The basic method of using the program is to set up the model via a simple text format, easily figured out from the examples or the ebook; load data in ASCII format ; run Compile, run Setup, change any parameters desired, and then run.
That yields a plain-text report and a graph which can be adjusted as needed. It is a remarkably small program, just over 2 MB in size. Updates for both Mac and Windows are slow, with nothing but bug-fixes since March 10, Version 3. From their site, GMT is Configurations: PPC older versions , The Mac OS X version and the overall project have their own web sites. The OS X version uses the Aqua user interface.
Prepare for a steep learning curve but it may be worth it if you have graphs you do frequently; not what I'd suggest for the occasional one-off though. Note that graphviz does not seem to have had any development for around six years, but Instaviz, an IOS version, is available on the Apple store; it has shape recognition so finger sketches can become graphs for flowchart.
The Graphviz Mac version description on their web site was last updated in April The programs are written in Javascript and html and should be compatible with Macs and Linux and Windows machines. Test results are provided for each module to allow people to check reliability of their own setup. The software is set up for epidemiology and has numerous key statistics for that field, along with the usual means, medians, t-tests, ANOVAs, powers, etc. It has the usual range of basic statistics, from t-tests to regression to ANOVA and nonparametric tests, with a wide range of graphs also available, and works from Excel or text files.
StatCrunch will also store your data within reason. For those with low budgets or infrequent needs, StatCrunch's fairly easy to use interface and price are extremely attractive it also makes sharing data easy.
Matplotlib is a pure python plotting library with the goal of making publication quality plots using a syntax familiar to matlab users. Sign in Create account. Today's deals. Best Apps. Download Download without scan.
Stay safe with. PSPP for Mac 1. Free statistical analysis software. Follow this app Developer website. It is a free as in freedom replacement for the proprietary program SPSS, and appears very similar to it with a few exceptions The most important of these exceptions are, that there are no "time bombs"; your copy of PSPP will not "expire" or deliberately stop working in the future. There are no additional packages to purchase in order to get "advanced" functions; all functionality that PSPP currently supports is in the core package PSPP is a stable and reliable application.
PSPP has: Support for over 1 billion cases Support for over 1 billion variables Syntax and data files which are compatible with those of SPSS A choice of terminal or graphical user interface A choice of text, postscript, pdf, opendocument or html output formats Inter-operability with Gnumeric, LibreOffice, OpenOffice.
Instructions to download and install some of the most popular free statistical software are below. Follow these instructions to get free statistical software running on your computer in minutes. This is a complicated process but ensures the most recent version is being installed.
The second, and much easier method, is to install the binary. Unfortunately the most recent version of PSPP is not always available using this method. Installing the binary is the software installation process you are likely familiar with from installing other downloadable software.
Find the bullet point with the operating system you use and open that link. To install R, click any one of the links in the link above one in your country is recommended. Click the link for the operating system you use under Download and Install R. Finally, click the link base under Subdirectories:. It can perform descriptive statistics, T-tests, anova, linear and logistic regression, measures of association, cluster analysis, reliability and factor analysis, non-parametric tests and more.
Its backend is designed to perform its analyses as fast as possible, regardless of the size of the input data. You can use PSPP with its graphical interface or the more traditional syntax commands. A brief list of some of the PSPP's features follows below. We also made available a page with screenshots and sample output. PSPP has:.
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