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R quick syntax reference /
The R Quick Syntax Reference is a handy reference book detailing the intricacies of the R language. Not only is R a free, open-source tool, R is powerful, flexible, and has state of the art statistical techniques available. With the many details which must be correct when using any language, however...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress,
2014.
|
| Colección: | Expert's voice in R.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Tollefson, Margot, |e author. | |
| 245 | 1 | 0 | |a R quick syntax reference / |c Margot Tollefson. |
| 264 | 1 | |a Berkeley, CA : |b Apress, |c 2014. | |
| 264 | 2 | |a New York, NY : |b Distributed to the Book trade worldwide by Springer | |
| 264 | 4 | |c Ã2014 | |
| 300 | |a 1 online resource (xviii, 190 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 347 | |b PDF | ||
| 490 | 1 | |a The expert's voice in R | |
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed November 28, 2017). | |
| 520 | |a The R Quick Syntax Reference is a handy reference book detailing the intricacies of the R language. Not only is R a free, open-source tool, R is powerful, flexible, and has state of the art statistical techniques available. With the many details which must be correct when using any language, however, the R Quick Syntax Reference makes using R easier. 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. With a copy of the R Quick Syntax Reference in hand, you will find that are able to use the multitude of functions available to the R user and are even able to write your own functions to explore and analyze data. Takes you through learning R, from download to statistical analysis. Clears the confusion around object types and how to use and convert the types. Tells you how to search for statistical techniques using the R help pages. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a At a Glance -- Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Part 1: R Basics -- Chapter 1: Downloading R and Setting Up a File System -- Downloading R -- Windows -- OS X -- Linux -- Installing and Updating Packages -- Windows -- OS X -- Updating R -- Windows -- OS X -- Using R in Separate Folders -- Windows -- OS X -- Linux -- Chapter 2: The R Prompt -- The Three Parts of R: Objects, Operators, and Assignments -- The R Prompt -- An Example of a Calculation -- Chapter 3: Assignments and Operators -- Types of Assignment -- Example of Three Types of Assignment -- The ls() and rm() Functions -- Operators -- Logical Operators and Functions -- Arithmetic Operators -- Matrix Operators and Functions -- Relational Operators -- Subscripting Operators -- Vectors -- Matrices -- Arrays -- Lists -- Other Types -- Odds and Ends -- Part 2: Kinds of Objects -- Chapter 4: Modes of Objects -- Overview of the Modes -- Commonly Used Modes -- Atomic, Recursive, and Language Modes -- Some Functions for Atomic Modes -- The NULL Mode -- The Logical Mode -- The Numeric Mode -- The Complex Mode -- The Raw Mode -- The Character Mode -- The Common Recursive and Language Modes -- The List Mode -- The Function Mode -- The Call Mode -- The Name Mode -- The Expression Mode -- The S4 Mode -- Chapter 5: Classes of Objects -- Some Basics on Classes -- Vectors -- Some Common Classes -- The Matrix Class: matrix -- The Array Class: array -- The Time Series Classes: ts and mts -- The Factor Classes: factor and ordered -- The Data Frame Class: data.frame -- The Date and Time Classes: Date, POSIXct, POSIXlt, and difftime -- Names for Vectors, Matrices, Arrays, and Lists -- Part 3: Functions -- Chapter 6: Packaged Functions -- The Libraries -- Default Packages and Primitive Functions -- Using the Help Pages -- Title. | |
| 505 | 8 | |a Description -- Usage -- Arguments -- Details -- Value -- Some Other Optional Sections -- References -- See Also -- Examples -- Chapter 7: User-Created Functions -- The Structure of a Function -- How to Enter a Function into R -- Using an Editor -- Inline Entry -- An Outside Editor: dget() and Copying and Pasting -- Chapter 8: How to Use a Function -- Calling a Function -- Arguments -- The Output from a Function -- Part 4: Inputting and Creating Data, Outputting Data and Output, and Manipulating Objects -- Chapter 9: Importing and Creating Data -- Reading Data into R, Including R Data Sets -- The Function scan() -- The Functions read.table(), read.csv(), and read.delim() -- R Data Sets -- Other Functions to Import Files -- Probability Distributions and the Function sample() -- Probability Distributions -- The Function sample() -- Manually Entering Data and Generating Data with Patterns -- The Function c() -- The Functions seq() and rep() -- The Function seq() -- The Function rep() -- Combinatorics and Grid Expansion -- The Function Paste -- Chapter 10: Exporting from R -- The Function dump() -- The Function sink() -- The Function write() -- The Function write.matrix() -- The Functions write.table() and write.csv() -- The Function dput() -- Other Exporting Functions -- Chapter 11: Descriptive Functions and Manipulating Objects -- Descriptive Functions -- The Function dim() -- The Functions nrow(), ncol(), NROW(), and NCOL() -- The Function length() -- The Function nchar() -- Manipulating Objects -- The Functions cbind() and rbind() -- The Apply Functions -- The Function apply() -- The lapply(), sapply(), and vapply() Functions -- The Function lapply() -- The Function sapply() -- The Function vapply() -- The Function tapply() -- The Function mapply() -- The sweep() and scale() Functions -- The Function sweep() -- The Function scale(). | |
| 505 | 8 | |a The Functions aggregate(), table(), tabulate(), and ftable() -- The Function aggregate() -- Data Frames -- Time Series -- The Functions table(), as.table(), and is.table() -- The Function tabulate() -- The Function ftable() -- Part 5: Flow Control -- Chapter 12: Flow Control -- Brackets "{ }" and the Semicolon " -- " -- The "if" and "if/else" Control Statements -- The "while" Control Statement -- The "for" Control Statement -- The "repeat" Control Statement -- The Statements "break" and "next" -- Nesting -- Chapter 13: Examples of Flow Control -- Nested 'for' Loops with an 'if/else' Statement -- Using Indices -- A 'while' Loop -- Using Indices -- Nested 'for' Loops -- Using Indices -- A 'for' Loop, 'if' Statement, and 'next' Statement -- Using Indices -- A 'for' Loop, a 'repeat' Loop, an 'if' Statement, and a 'break' Statement -- Using Indices -- Chapter 14: The Functions ifelse() and switch() -- The Function ifelse() -- The Function switch() -- Part 6: Some Common Functions, Packages, and Techniques -- Chapter 15: Some Common Functions -- The Function options() -- The Functions round(), signif(), and noquote() -- The Function round() -- The Function signif() -- The Function noquote() -- The Function cat() -- The Functions format(), print(), plot(), and summary() -- The Function format() -- The Function print() -- The Function plot() -- The Function summary() -- Some Functions for Models: anova(), coef(), effects(), residuals(), fitted(), vcov(), confint(), and predict() -- Chapter 16: The Packages base, stats, and graphics -- The base Package -- Reserved Words -- Built-In Constants -- Trigonometric and Hyperbolic Functions -- Beta- and Gamma-Related Functions -- Miscellaneous Mathematical Functions -- Complex Numbers -- Matrices, Arrays, and Data Frames -- A Few Other Functions and Some Comments -- The stats Package. | |
| 505 | 8 | |a Basic Descriptive Statistics -- Some Functions That Do Tests -- Some Modeling Functions in stats -- Clustering Algorithms and Other Multivariate Techniques -- The graphics Package -- Chapter 17: Tricks of the Trade -- Value Substitution: NA, NaN, Inf, and -Inf -- If Statements and Logical Vectors -- Lists and the Functions list() and c() -- Getting Data out of Functions -- Recursive Functions -- Some Final Comments -- Index. | |
| 546 | |a English. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
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| 650 | 7 | |a MATHEMATICS |x Applied. |2 bisacsh | |
| 650 | 7 | |a MATHEMATICS |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Tollefson, Margot. |t R quick syntax reference. |d Berkeley, CA : Apress, 2014 |w (DLC) 2015410427 |
| 830 | 0 | |a Expert's voice in R. | |
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