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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]
System F <:, pronounced "F-sub", is an extension of system F with subtyping. System F <: has been of central importance to programming language theory since the 1980s [ citation needed ] because the core of functional programming languages , like those in the ML family, support both parametric polymorphism and record subtyping, which can be ...
If the function F returns false then the next function in Fs will be evaluated. If the function F returns {false, Y} then the next function in Fs with argument Y will be evaluated. If the function F returns R the higher-order function or_else/2 will return R. Note that X, Y, and R can be functions. The example returns false.
The use of an initial value is necessary when the combining function f is asymmetrical in its types (e.g. a → b → b), i.e. when the type of its result is different from the type of the list's elements. Then an initial value must be used, with the same type as that of f 's result, for a linear chain of applications to be possible. Whether it ...
Higher-order programming is a style of computer programming that uses software components, like functions, modules or objects, as values. It is usually instantiated with, or borrowed from, models of computation such as lambda calculus which make heavy use of higher-order functions .
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.
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Higher-Order and Symbolic Computation Volume 13, Issue 1/2 (April 2000) Special Issue in memory of Christopher Strachey; Fundamental Concepts In Programming Languages at the Portland Pattern Repository; Fundamental Concepts In Programming Languages at the College of Information Sciences and Technology at Pennsylvania State University; ACM ...