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GAUSS – programming language for statistics; Genedata – software for integration and interpretation of experimental data in the life science R&D; GenStat – general statistics package; GLIM – early package for fitting generalized linear models; GraphPad InStat – very simple with much guidance and explanations
This category lists those domain-specific programming languages targeted at statistical applications. Subcategories This category has only the following subcategory.
World Programming: March 2018 () No Proprietary: CLI, GUI: C, Assembler Python, R, SAS and SQL languages WINKS: TexaSoft August 2013 () No Proprietary: GUI: Fortran, Visual Basic XploRe: MD*Tech 2006 () No Proprietary: GUI: Product Developer Latest version Open source Software license Interface Written in Scripting languages
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.
There are a few reviews of free statistical software. There were two reviews in journals (but not peer reviewed), one by Zhu and Kuljaca [26] and another article by Grant that included mainly a brief review of R. [27] Zhu and Kuljaca outlined some useful characteristics of software, such as ease of use, having a number of statistical procedures and ability to develop new procedures.
The JMP Scripting Language (JSL) is an interpreted language for recreating analytic results and for automating or extending the functionality of JMP software. [50]: 29 JSL was first introduced in JMP version 4 in 2000. [51]: 1 JSL has a LISP-like syntax, structured as a series of expressions. All programming elements, including if-then ...