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R (programming language) 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.
RStudio. RStudio IDE (or RStudio) is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.
v. t. e. Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. [1][2] It involves designing and implementing algorithms, step-by-step specifications of procedures, by writing code in one or more programming languages. Programmers typically use high-level ...
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Stanford University (2008–present) Website. statweb.stanford.edu /~jmc4 /. John McKinley Chambers is the creator of the S programming language, and core member of the R programming language project. He was awarded the 1998 ACM Software System Award for developing S. [1]
Roger D. Peng is an author and professor of Statistics and Data Science at the University of Texas at Austin. [1] [2] Peng originally received a Bachelor of Science in Applied Mathematics from Yale University in 1999, before going on to study at the University of California, Los Angeles, where he completed a Master of Science in Statistics in 2001 and a PhD in Statistics in 2003.
Shiny is a free and open source R package for developing web applications (apps). [2] It was announced by Joe Cheng, CTO of Posit, formerly RStudio, in 2012. [3] One of the uses of Shiny has been in fast prototyping. [4] In 2022, a separate implementation Shiny for Python was announced. [5] It is not meant to be a replacement, whereby both ...
jamovi is an open source graphical user interface for the R programming language. [4] It is used in statistical research, especially as a tool for ANOVA (analysis of variance) and to understand statistical inference. [5][6] It also can be used for linear regression, [7] mixed models and Bayesian models. [8]
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