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R quick syntax reference : a pocket guide to the language, APIs and library /

This handy reference book detailing the intricacies of R updates the popular first edition by adding R version 3.4 and 3.5 features. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Tollefson, Margot (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Berkeley, California] : Apress, [2019]
Edición:Second edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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505 0 |a Part 1. R. Basics. Downloading R and setting up a file system -- The R prompt and the R studio windows -- Assignments and operators -- Part 2. Kinds of objects. Modes and types of objects -- Classes of objects -- Part 3. Functions. Packaged functions -- User-created functions, scripts, and S4 methods -- How to use a script or function -- Part 4. I/O and manipulating objects. Importing and creating data -- Exporting from R -- Descriptive functions and manipulating objects -- Part 5. Flow control. Flow control -- Examples of flow control -- The functions ifelse() and switch() -- Part 6. Some common functions, packages and techniques. Some common functions -- The packages base, stats, and graphics -- Tricks of the trade. 
520 |a This handy reference book detailing the intricacies of R updates the popular first edition by adding R version 3.4 and 3.5 features. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the correct form for an expression quick and easy. Some of the new material includes information on RStudio, S4 syntax, working with character strings, and an example using the Twitter API. With a copy of the R Quick Syntax Reference in hand, you will find that you are able to use the multitude of functions available in R and are even able to write your own functions to explore and analyze data. 
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