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ocn773222870 |
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m o d |
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|n http://www.overdrive.com
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4 |
|a QA276.4
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| 072 |
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7 |
|a MAT
|x 029000
|2 bisacsh
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| 049 |
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|a HCDD
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| 100 |
1 |
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|a Matloff, Norman S.
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| 245 |
1 |
4 |
|a The art of R programming :
|b tour of statistical software design /
|c Norman Matloff.
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| 260 |
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|a San Francisco :
|b No Starch Press,
|c ©2011.
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| 300 |
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|a 1 online resource (xxiii, 373 pages) :
|b illustrations
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| 336 |
|
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|a text
|b txt
|2 rdacontent
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| 337 |
|
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
|
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|a data file
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| 588 |
0 |
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|a Print version record.
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| 520 |
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|a A guide to software development using the R programming language covers such topics as closures, recursion, anonymous functions, and debugging techniques.
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| 505 |
0 |
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|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.
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| 505 |
8 |
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|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.
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| 505 |
8 |
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|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.
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| 505 |
8 |
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|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 |
8 |
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|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.
|
| 546 |
|
|
|a English.
|
| 650 |
|
0 |
|a R (Computer program language)
|
| 650 |
|
0 |
|a Statistics
|x Data processing.
|
| 650 |
|
7 |
|a MATHEMATICS
|x Probability & Statistics
|x General.
|2 bisacsh
|
| 650 |
|
7 |
|a R (Computer program language)
|2 fast
|
| 650 |
|
7 |
|a Statistics
|x Data processing
|2 fast
|
| 650 |
|
7 |
|a r
|2 gnd
|
| 650 |
|
7 |
|a Statistik
|2 gnd
|
| 650 |
|
7 |
|a Pubbz R.
|2 sao
|
| 650 |
|
7 |
|a Statistik
|x databehandling.
|2 sao
|
| 650 |
|
7 |
|a Matematisk statistik.
|2 sao
|
| 650 |
|
7 |
|a Statistics
|x Data processing.
|2 sears
|
| 650 |
|
7 |
|a R (Computer language)
|2 sears
|
| 758 |
|
|
|i has work:
|a The art of R programming (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFQMrQdHT7633frMCV3KMP
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
| 776 |
0 |
8 |
|i Print version:
|a Matloff, Norman S.
|t Art of R programming.
|d San Francisco : No Starch Press, ©2011
|z 9781593273842
|w (DLC) 2011025598
|w (OCoLC)711045702
|
| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=1137514
|y Click for online access
|
| 903 |
|
|
|a EBC-AC
|
| 994 |
|
|
|a 92
|b HCD
|