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Pages in category "Statistical programming languages" The following 22 pages are in this category, out of 22 total. This list may not reflect recent changes. A.
Lisp is the second oldest family of programming languages in use today and as such has many dialects and implementations with a wide range of difficulties. Lisp was originally created as a practical mathematical notation for computer programs, based on lambda calculus, which makes it particularly well suited for teaching theories of computing.
WarpPLS – statistics package used in structural equation modeling; Wolfram Language [6] – the computer language that evolved from the program Mathematica. It has similar statistical capabilities as Mathematica. World Programming System (WPS) – statistical package that supports the use of Python, R and SAS languages within a single user ...
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.
Pascal (programming language) PascalABC.NET; Pencil Code (programming language) Pico (programming language) PILOT; PL/0; PL/C; Processing; Programming Computable Functions; PSeInt; Python (programming language)
The SAS language is a fourth-generation computer programming language used for statistical analysis, created by Anthony James Barr at North Carolina State University. [ 1 ] [ 2 ] Its primary applications include data mining and machine learning .
Programming languages influential in computer science and programming language theory. Some are only widely used by computer scientists and may even lack an actual implementation, only being used for studying their theoretical properties. See also Category:Educational programming languages, Category:Experimental programming languages.
The Computer Language Benchmarks Game site warns against over-generalizing from benchmark data, but contains a large number of micro-benchmarks of reader-contributed code snippets, with an interface that generates various charts and tables comparing specific programming languages and types of tests.