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The tidyverse is a collection of open source packages for the R programming language introduced by Hadley Wickham [1] and his team that "share an underlying design philosophy, grammar, and data structures" of tidy data. [2] Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping. [3 ...
dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. [1]
Hadley Alexander Wickham (born 14 October 1979) is a New Zealand statistician known for his work on open-source software for the R statistical programming environment.He is the chief scientist at Posit PBC and an adjunct professor of statistics at the University of Auckland, Stanford University, and Rice University.
The programs on this page are free software dealing with the R programming language. Free and open-source software portal; ... Tidyverse This page was last ...
R logo. 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).
It is a public-benefit corporation [1] founded by J. J. Allaire, [2] creator of the programming language ColdFusion. Posit has no formal connection to the R Foundation, a not-for-profit organization located in Vienna, Austria, [3] which is responsible for overseeing development of the R environment for statistical computing.
From January 2008 to December 2012, if you bought shares in companies when James A. Johnson joined the board, and sold them when he left, you would have a -26.0 percent return on your investment, compared to a -2.8 percent return from the S&P 500.
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.