SOFA Statistics

Last updated
SOFA Statistics
Developer(s) Paton-Simpson & Associates Ltd
Stable release
1.5.7 / 11 September 2024;10 days ago (2024-09-11)
Written in Python
Operating system Cross-platform
Type Statistical analysis
License AGPL
Website www.sofastatistics.com

SOFA Statistics is an open-source statistical package. The name stands for Statistics Open For All. It has a graphical user interface and can connect directly to MySQL, PostgreSQL, SQLite, MS Access (map), and Microsoft SQL Server. Data can also be imported from CSV and Tab-Separated files or spreadsheets (Microsoft Excel, OpenOffice.org Calc, Gumeric, Google Docs). The main statistical tests available are Independent and Paired t-tests, Wilcoxon signed ranks, Mann–Whitney U, Pearson's chi squared, Kruskal Wallis H, one-way ANOVA, Spearman's R, and Pearson's R. Nested tables can be produced with row and column percentages, totals, standard deviation, mean, median, lower and upper quartiles, and sum.

Contents

Installation packages are available for several Operating Systems such as Microsoft Windows, Ubuntu, Arch Linux, Linux Mint. On macOS, SOFA only runs on older versions the OS with Leopard being the minimum version.

SOFA Statistics is written in Python, and the widget toolkit used is WxPython. The statistical analyses are based on functions available through the SciPy stats module. [1]

Statistics Features - Workflows

Users are guided through the selection of the appropriate basic statistical methods and assignment of the basic statistical on the table column of the data that should be analyzed. The features available within SOFA for statistical analysis are limited compared to those found in Open Source R Statistics Software, which contains a large repository of statistics packages.

See also

Related Research Articles

<span class="mw-page-title-main">Linux distribution</span> Operating system based on the Linux kernel

A Linux distribution is an operating system made from a software collection that includes the Linux kernel and often a package management system. They are often obtained from the website of each distribution, which are available for a wide variety of systems ranging from embedded devices and personal computers to servers and powerful supercomputers.

<span class="mw-page-title-main">PostgreSQL</span> Free and open-source object relational database management system

PostgreSQL also known as Postgres, is a free and open-source relational database management system (RDBMS) emphasizing extensibility and SQL compliance. PostgreSQL features transactions with atomicity, consistency, isolation, durability (ACID) properties, automatically updatable views, materialized views, triggers, foreign keys, and stored procedures. It is supported on all major operating systems, including Windows, Linux, macOS, FreeBSD, and OpenBSD, and handles a range of workloads from single machines to data warehouses, data lakes, or web services with many concurrent users.

In computing, cross-platform software is computer software that is designed to work in several computing platforms. Some cross-platform software requires a separate build for each platform, but some can be directly run on any platform without special preparation, being written in an interpreted language or compiled to portable bytecode for which the interpreters or run-time packages are common or standard components of all supported platforms.

<span class="mw-page-title-main">IBM Db2</span> Relational model database server

Db2 is a family of data management products, including database servers, developed by IBM. It initially supported the relational model, but was extended to support object–relational features and non-relational structures like JSON and XML. The brand name was originally styled as DB2 until 2017, when it changed to its present form.

<span class="mw-page-title-main">SPSS</span> Statistical analysis software

SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc., it was acquired by IBM in 2009. Versions of the software released since 2015 have the brand name IBM SPSS Statistics.

<span class="mw-page-title-main">Kexi</span> KDE visual database applications creator

Kexi is a visual database applications creator tool by KDE, designed to fill the gap between spreadsheets and database solutions requiring more sophisticated development. Kexi can be used for designing and implementing databases, data inserting and processing, and performing queries. It is developed within the Calligra project but is released separately.

A GIS software program is a computer program to support the use of a geographic information system, providing the ability to create, store, manage, query, analyze, and visualize geographic data, that is, data representing phenomena for which location is important. The GIS software industry encompasses a broad range of commercial and open-source products that provide some or all of these capabilities within various information technology architectures.

<span class="mw-page-title-main">Lazarus (software)</span> Free cross-platform integrated development environment for Free Pascal

Lazarus is a cross-platform, integrated development environment (IDE) for rapid application development (RAD) using the Free Pascal compiler. Its goal is to provide an easy-to-use development environment for developing with the Object Pascal language, which is as close as possible to Delphi. It is free and open-source software with different parts released under different software licenses.

<span class="mw-page-title-main">LAMP (software bundle)</span> Acronym for a common web hosting solution

A LAMP is one of the most common software stacks for the web's most popular applications. Its generic software stack model has largely interchangeable components.

<span class="mw-page-title-main">SageMath</span> Computer algebra system

SageMath is a computer algebra system (CAS) with features covering many aspects of mathematics, including algebra, combinatorics, graph theory, group theory, differentiable manifolds, numerical analysis, number theory, calculus and statistics.

<span class="mw-page-title-main">Epi Info</span> Statistical software from the CDC

Epi Info is statistical software for epidemiology developed by Centers for Disease Control and Prevention (CDC) in Atlanta, Georgia (US).

Microsoft SQL Server is a proprietary relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network. Microsoft markets at least a dozen different editions of Microsoft SQL Server, aimed at different audiences and for workloads ranging from small single-machine applications to large Internet-facing applications with many concurrent users.

An embedded database system is a database management system (DBMS) which is tightly integrated with an application software; it is embedded in the application. It is a broad technology category that includes:

Revolution Analytics is a statistical software company focused on developing open source and "open-core" versions of the free and open source software R for enterprise, academic and analytics customers. Revolution Analytics was founded in 2007 as REvolution Computing providing support and services for R in a model similar to Red Hat's approach with Linux in the 1990s as well as bolt-on additions for parallel processing. In 2009 the company received nine million in venture capital from Intel along with a private equity firm and named Norman H. Nie as their new CEO. In 2010 the company announced the name change as well as a change in focus. Their core product, Revolution R, would be offered free to academic users and their commercial software would focus on big data, large scale multiprocessor computing, and multi-core functionality.

The following outline is provided as an overview of and topical guide to the Perl programming language:

Microsoft, a technology company historically known for its opposition to the open source software paradigm, turned to embrace the approach in the 2010s. From the 1970s through 2000s under CEOs Bill Gates and Steve Ballmer, Microsoft viewed the community creation and sharing of communal code, later to be known as free and open source software, as a threat to its business, and both executives spoke negatively against it. In the 2010s, as the industry turned towards cloud, embedded, and mobile computing—technologies powered by open source advances—CEO Satya Nadella led Microsoft towards open source adoption although Microsoft's traditional Windows business continued to grow throughout this period generating revenues of 26.8 billion in the third quarter of 2018, while Microsoft's Azure cloud revenues nearly doubled.

References

  1. "SOFA - Statistics Open For All". Linux Journal. 201: 40–41. January 2011.