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Writing Better R Code

Writing Better R Code

Writing Better R Code

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Detalles del libro:

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Año:2013
Editor:Autoedición
Páginas:20 páginas
Idioma:inglés
Desde:21/11/2013
Tamaño:231 KB
Licencia:Pendiente de revisión

Contenido:

R is a free software programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls and surveys of data miners are showing R's popularity has increased substantially in recent years.

R is an implementation of the S programming language combined with lexical scoping semantics inspired by Scheme. S was created by John Chambers while at Bell Labs. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team, of which Chambers is a member. R is named partly after the first names of the first two R authors and partly as a play on the name of S.

(Wikipedia)

This short book focuses on better R programming in terms of cleaner and elegant syntax, code profiling and testing, performance improvements via parallelisation and debugging. These topics are not covered in details but are presented as practical use-cases.

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