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R packages are extensions to the R statistical programming language. R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).
SuperCROSS – comprehensive statistics package with ad-hoc, cross tabulation analysis; Systat – general statistics package; The Unscrambler – free-to-try commercial multivariate analysis software for Windows; Unistat – general statistics package that can also work as Excel add-in; WarpPLS – statistics package used in structural ...
Rattle provides considerable data mining functionality by exposing the power of the R Statistical Software through a graphical user interface. Rattle is also used as a teaching facility to learn the R software Language. There is a Log Code tab, which replicates the R code for any activity undertaken in the GUI, which can be copied and pasted.
React (also known as React.js or ReactJS) is a free and open-source front-end JavaScript library [5] [6] that aims to make building user interfaces based on components more "seamless". [5] It is maintained by Meta (formerly Facebook) and a community of individual developers and companies.
Bibliometrix is a package for the R statistical programming language for quantitative research in scientometrics and bibliometrics. [1]Bibliometrics is the application of quantitative analysis and statistics to publications such as journal articles and their accompanying citation counts.
In addition, users can install modules from a library of community created open source add-on modules to extend the package's capabilities. [10] [11] These modules are written in the R programming language and make use of the jmv [12] and jmvtools [13] libraries to create the interface and display code. Numerous modules exist and can be ...
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.
One of the first completely free to use and open source statistical software was R, first released in 2000. [1] Some of the free software packages are from governments, for example Epi Info, which is from CDC [4] (Centers for Disease Control and Prevention). Some other software packages are from smaller or independent organizations or universities.