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Record Nr. |
UNINA9910338006103321 |
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Autore |
Tollefson Margot |
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Titolo |
R Quick Syntax Reference [[electronic resource] ] : A Pocket Guide to the Language, APIs and Library / / by Margot Tollefson |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2019 |
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ISBN |
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Edizione |
[2nd ed. 2019.] |
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Descrizione fisica |
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1 online resource (369 pages) |
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Disciplina |
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Soggetti |
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Programming languages (Electronic computers) |
Artificial intelligence |
Mathematical statistics |
Big data |
Computer programming |
R (Computer program language) |
Programming Languages, Compilers, Interpreters |
Artificial Intelligence |
Probability and Statistics in Computer Science |
Big Data |
Programming Techniques |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Part 1: R Basics -- 1. Downloading R and Setting Up a File System -- 2. The R Prompt -- 3. Assignments and Operators -- Part 2: Kinds of Objects -- 4. Modes of Objects -- 5. Classes of Objects -- Part 3: Functions -- 6. Packaged Functions -- 7. User Created Functions -- 8. How to Use a Function -- Part 4: I/O and Manipulating Objects -- 9. Importing/Creating Data -- 10. Exporting from R -- 11. Descriptive Functions and Manipulating Objects -- Part 5: Flow control -- 12. Flow Control -- 13. Examples of Flow Control -- 14. The Functions ifelse() and switch() -- Part 6: Some Common Functions, Packages and Techniques -- 15. Some Common Functions -- 16. The Packages base, stats and graphics -- 17. The Tricks of the Trade. |
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Sommario/riassunto |
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This handy reference book detailing the intricacies of R updates the |
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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. You will: Discover the modes and classes of R objects and how to use them Use both packaged and user-created functions in R Import/export data and create new data objects in R Create descriptive functions and manipulate objects in R Take advantage of flow control and conditional statements Work with packages such as base, stats, and graphics. |
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