LEADER 04325nam 22006495 450 001 9910338006103321 005 20220627192538.0 010 $a1-4842-4405-2 024 7 $a10.1007/978-1-4842-4405-0 035 $a(CKB)4100000008048133 035 $a(MiAaPQ)EBC5771144 035 $a(DE-He213)978-1-4842-4405-0 035 $a(CaSebORM)9781484244050 035 $a(PPN)235671576 035 $a(EXLCZ)994100000008048133 100 $a20190424d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aR Quick Syntax Reference$b[electronic resource] $eA Pocket Guide to the Language, APIs and Library /$fby Margot Tollefson 205 $a2nd ed. 2019. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2019. 215 $a1 online resource (369 pages) 300 $aIncludes index. 311 $a1-4842-4404-4 327 $aPart 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. 330 $aThis 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. 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. 606 $aProgramming languages (Electronic computers) 606 $aArtificial intelligence 606 $aMathematical statistics 606 $aBig data 606 $aComputer programming 606 $aR (Computer program language) 606 $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aProbability and Statistics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17036 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 615 0$aProgramming languages (Electronic computers). 615 0$aArtificial intelligence. 615 0$aMathematical statistics. 615 0$aBig data. 615 0$aComputer programming. 615 0$aR (Computer program language). 615 14$aProgramming Languages, Compilers, Interpreters. 615 24$aArtificial Intelligence. 615 24$aProbability and Statistics in Computer Science. 615 24$aBig Data. 615 24$aProgramming Techniques. 676 $a519.502855133 700 $aTollefson$b Margot$4aut$4http://id.loc.gov/vocabulary/relators/aut$0849620 906 $aBOOK 912 $a9910338006103321 996 $aR Quick Syntax Reference$92217907 997 $aUNINA