|
|
|
|
| LEADER |
04910nmm a2200565 u 4500 |
| 001 |
EB001948087 |
| 003 |
EBX01000000000000001110989 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
210123 ||| eng |
| 020 |
|
|
|a 1593274106
|
| 020 |
|
|
|a 9781593274108
|
| 020 |
|
|
|a 9781593273842
|
| 050 |
|
4 |
|a QA276.4
|
| 100 |
1 |
|
|a Matloff, Norman S.
|
| 245 |
0 |
0 |
|a The art of R programming
|b tour of statistical software design
|c Norman Matloff
|
| 260 |
|
|
|a San Francisco
|b No Starch Press
|c 2011
|
| 300 |
|
|
|a xxiii, 373 pages
|b illustrations
|
| 505 |
0 |
|
|a 7.8 Writing Upstairs7.9 Recursion; 7.10 Replacement Functions; 7.11 Tools for Composing Function Code; 7.12 Writing Your Own Binary Operations; 7.13 Anonymous Functions; 8: Doing Math and Simulations in R; 8.1 Math Functions; 8.2 Functions for Statistical Distributions; 8.3 Sorting; 8.4 Linear Algebra Operations on Vectors and Matrices; 8.5 Set Operations; 8.6 Simulation Programming in R; 9: Object-Oriented Programming; 9.1 S3 Classes; 9.2 S4 Classes; 9.3 S3 Versus S4; 9.4 Managing Your Objects; 10: Input/Output; 10.1 Accessing the Keyboard and Monitor; 10.2 Reading and Writing Files
|
| 505 |
0 |
|
|a 10.3 Accessing the Internet11: String Manipulation; 11.1 An Overview of String-Manipulation Functions; 11.2 Regular Expressions; 11.3 Use of String Utilities in the edtdbg Debugging Tool; 12: Graphics; 12.1 Creating Graphs; 12.2 Customizing Graphs; 12.3 Saving Graphs to Files; 12.4 Creating Three-Dimensional Plots; 13: Debugging; 13.1 Fundamental Principles of Debugging; 13.2 Why Use a Debugging Tool?; 13.3 Using R Debugging Facilities; 13.4 Moving Up in the World: More Convenient DebuggingTools; 13.5 Ensuring Consistency in Debugging Simulation Code; 13.6 Syntax and Runtime Errors
|
| 505 |
0 |
|
|a Brief Contents; Contents in Detail; Acknowledgments; Introduction; Why Use R for Your Statistical Work?; Whom Is This Book For?; My Own Background; 1: Getting Started; 1.1 How to Run R; 1.2 A First R Session; 1.3 Introduction to Functions; 1.4 Preview of Some Important R Data Structures; 1.5 Extended Example: Regression Analysis of Exam Grades; 1.6 Startup and Shutdown; 1.7 Getting Help; 2: Vectors; 2.1 Scalars, Vectors, Arrays, and Matrices; 2.2 Declarations; 2.3 Recycling; 2.4 Common Vector Operations; 2.5 Using all() and any(); 2.6 Vectorized Operations; 2.7 NA and NULL Values
|
| 505 |
0 |
|
|a 2.8 Filtering2.9 A Vectorized if-then-else: The ifelse() Function; 2.10 Testing Vector Equality; 2.11 Vector Element Names; 2.12 More on c(); 3: Matrices and Arrays; 3.1 Creating Matrices; 3.2 General Matrix Operations; 3.3 Applying Functions to Matrix Rows and Columns; 3.4 Adding and Deleting Matrix Rows and Columns; 3.5 More on the Vector/Matrix Distinction; 3.6 Avoiding Unintended Dimension Reduction; 3.7 Naming Matrix Rows and Columns; 3.8 Higher-Dimensional Arrays; 4: Lists; 4.1 Creating Lists; 4.2 General List Operations; 4.3 Accessing List Components and Values
|
| 505 |
0 |
|
|a 4.4 Applying Functions to Lists4.5 Recursive Lists; 5: Data Frames; 5.1 Creating Data Frames; 5.2 Other Matrix-Like Operations; 5.3 Merging Data Frames; 5.4 Applying Functions to Data Frames; 6: Factors and Tables; 6.1 Factors and Levels; 6.2 Common Functions Used with Factors; 6.3 Working with Tables; 6.4 Other Factor- and Table-Related Functions; 7: R Programming Structures; 7.1 Control Statements; 7.2 Arithmetic and Boolean Operators and Values; 7.3 Default Values for Arguments; 7.4 Return Values; 7.5 Functions Are Objects; 7.6 Environment and Scope Issues; 7.7 No Pointers in R.
|
| 653 |
|
|
|a Matematisk statistik / sao
|
| 653 |
|
|
|a R (Langage de programmation)
|
| 653 |
|
|
|a Pubbz R. / sao
|
| 653 |
|
|
|a R (Computer program language) / fast
|
| 653 |
|
|
|a Statistik / databehandling / sao
|
| 653 |
|
|
|a R (Computer language) / sears
|
| 653 |
|
|
|a Statistics / Data processing / sears
|
| 653 |
|
|
|a Statistik / gnd
|
| 653 |
|
|
|a r / gnd / http://d-nb.info/gnd/4305378-6
|
| 653 |
|
|
|a MATHEMATICS / Probability & Statistics / General / bisacsh
|
| 653 |
|
|
|a Statistique / Informatique
|
| 653 |
|
|
|a Statistics / Data processing / fast
|
| 653 |
|
|
|a R (Computer program language) / http://id.loc.gov/authorities/subjects/sh2002004407
|
| 653 |
|
|
|a Statistics / Data processing / http://id.loc.gov/authorities/subjects/sh85127583
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b OREILLY
|a O'Reilly
|
| 776 |
|
|
|z 1593274106
|
| 776 |
|
|
|z 9785327388
|
| 776 |
|
|
|z 9781593273842
|
| 776 |
|
|
|z 1593273843
|
| 776 |
|
|
|z 9781593274108
|
| 776 |
|
|
|z 9789785327380
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781593273842/?ar
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 510
|
| 082 |
0 |
|
|a 519.50285/5133
|
| 082 |
0 |
|
|a 519.5
|
| 520 |
|
|
|a A guide to software development using the R programming language covers such topics as closures, recursion, anonymous functions, and debugging techniques
|