Advanced R. V!aylor & Francis Group. Hadley Wickham. ~ CRC Press
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1 ~ CRC Press V!aylor & Francis Group Advanced R Hadley Wickham
2 ')'l If trlro r r 1 Introduction Who should read this book What you will get out of this book Meta-techniques Recommended reading Getting help Acknowledgments Conventions Colophon 8 I Foundations 11 2 Data structures Vectors Atomic vectors Types and tests Coercion Lists Exercises Attributes Names Factors Exercises 23
3 nrf'1prinrr flntortor conhco.f"'4-f-;..,...,..'\ X Exercises Data frames Creation Testing and coercion Combining data frames Special columns Exercises Answers Subsetting Data types Atomic vectors Lists Matrices and arrays Data frames S3 objects S4 objects Exercises Subsetting operators Simplifying vs. preserving subsetting $ Missing/ out of bounds indices Exercises Subsetting and assignment Applications Lookup tables (character subsetting) Matching and merging by hand (integer subsetting) Random samples/bootstrap (integer subsetting) 48
4 xi Expanding aggregated counts (integer subsetting) Removing columns from data frames (character subsetting) Selecting rows based on a condition (logical subsetting) Boolean algebra vs. sets (logical & integer subsetting) Exercises Answers 55 4 Vocabulary 4.1 The basics 4.2 Common data structures 4.3 Statistics Working with R 4.5 I/ Style guide 5.1 Notation and naming File names Object names 5.2 Syntax Spacing Curly braces Line length Indentation Assignment 5.3 Organisation Commenting guidelines
5 xii 6 Functions Function components Primitive functions Exercises Lexical scoping Name masking Functions vs. variables A fresh start Dynamic lookup Exercises Every operation is a function call Function arguments Calling functions Calling a function given a list of arguments Default and missing arguments Lazy evaluation Exercises Special calls Infix functions Replacement functions Exercises Return values On exit Exercises Quiz answers.. 98
6 xiii 7 00 field guide Base types Recognising objects, generic functions, and methods Defining classes and creating objects Creating new methods and generics Method dispatch Exercises Recognising objects, generic functions, and methods Defining classes and creating objects Creating new methods and generics Method dispatch Exercises RC Defining classes and creating objects Recognising objects and methods Method dispatch Exercises Picking a system Quiz answers Environments Environment basics Exercises Recursing over environments Exercises Function environments 133
7 Q!) 0111rz ~n~urprs xiv The enclosing environment Binding environments Execution environments Calling environments Exercises Binding names to values Exercises Explicit environments Avoiding copies Package state As a hashmap Quiz answers Debugging, condition handling, and defensive programming Debugging techniques Debugging tools Determining the sequence of calls Browsing on error Browsing arbitrary code The call stack: traceback(), where, and recover() Other types of failure Condition handling Ignore errors with try Handle conditions with trycatch() withcallinghandlers() Custom signal classes Exercises Defensive programming Exercises 169
8 II Functional programming Functional programming Motivation Anonymous functions Exercises Closures Function factories Mutab1e state Exercises Lists of functions Moving lists of functions to the global environment Exercises Case study: numerical integration Exercises XV 11 Functionals My first functional: lapply() Looping patterns Exercises For loop functionals: friends of lapply() Vector output: sapply and vapply Multiple inputs: Map (and mapply) Rolling computations Parallelisation Exercises Manipulating matrices and data frames Matrix and array operations Group apply The plyr package 217
9 xvi Exercises Manipulating lists Reduce() Predicate functionals Exercises Mathematical functionals Exercises Loops that shq,uld be left as is Modifying in place Recursive relationships While loops A family of functions Exercises Function operators Behavioural FOs Memoisation Capturing function invocations Laziness Exercises Output FOs Minor modifications Changing what a function does Exercises Input FOs Prefilling function arguments: partial function application Changing input types Exercises 251
10 xvii III Function composition Logical predicates and boolean algebra Exercises Computing on the language Non-standard evaluation 1301 Capturing expressions Exercises Non-standard evaluation in subset Exercises 1303 Scoping issues Exercises 13.4 Calling from another function Exercises 1305 Substitute Adding an escape hatch to substitute Capturing unevaluated Exercises The downsides of non-standard evaluation Exercises 14 Expressions 1401 Structure of expressions Exercises 1402 Names Exercises 1403 Calls Modifying a call Creating a call from its components
11 xviii Exercises Capturing the current call Exercises Pairlists Exercises Parsing and deparsing Exercises Walking the A..ST with recursive functions Finding F and T Finding all variables created by assignment Modifying the call tree Exercises Domain specific languages HTML Goal Escaping Basic tag functions Tag functions Processing all tags Exercises LaTeX LaTeX mathematics Goal to_math Known symbols Unknown symbols Known functions Unknown functions. 326
12 Byte code compilation 370 xix IV Performance Performance Why is R slow? Micro benchmarking Exercises Language performance Extreme dynamism Name lookup with mutable environments Lazy evaluation overhead Exercises Implementation performance Extracting a single value from a data frame ifelse(), pmin(), and pmax() Exercises Alternative R implementations Optimising code Measuring performance Limitations Improving performance Code organisation Has someone already solved the problem? Exercises Do as little as possible Exercises Vectorise Exercises Avoid copies 368
13 XX 17.9 Case study: t-test Parallelise Other techniques Memory Object size Exercises Memory usage and garbage collection Memory pr~filing with lineprof Exercises Modification in place Loops Exercises High performance functions with Rcpp Getting started with C No inputs, scalar output Scalar input, scalar output Vector input, scalar output Vector input, vector output Matrix input, vector output Using sourcecpp Exercises Attributes and other classes Lists and data frames Functions Other types Missing values Scalars. 410 Integers 410
14 Doubles Strings Boolean Vectors Exercises 19.4 Rcpp sugar Arithmetic and logical operators Logical. summary functions Vector views Other useful functions 19.5 The STL Using iterators Algorithms Data structures Vectors Sets Map Exercises 19.6 Case studies Gibbs sampler R vectorisation vs. C++ vectorisation 19.7 Using Rcpp in a package 19.8 Learning more Acknowledgments 20 R 's C interface 20.1 Calling C functions from R 20.2 C data structures 20.3 Creating and modifying vectors xxi
15 xxii Missing and non-finite values Accessing vector data Character vectors and lists Modifying inputs Coercing scalars Long vectors Pair lists Input valiqation Finding the C source code for a function 447 Index 451
CONTENTS. PART 1 Structured Programming 1. 1 Getting started 3. 2 Basic programming elements 17
List of Programs xxv List of Figures xxix List of Tables xxxiii Preface to second version xxxv PART 1 Structured Programming 1 1 Getting started 3 1.1 Programming 3 1.2 Editing source code 5 Source code
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