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able of contents
View table of contents >> Acknowledgment1 Introduction 1.1 Is this book for me? 1.2 What is Mata? 1.3 What is covered in this book 1.4 How to download the files for this book 2 The mechanics of using Mata 2.1 Introduction 2.2 Mata code appearing in do-files 2.3 Mata code appearing in ado-files 2.4 Mata code to be exposed publicly 3 A programmer's tour of Mata 3.1 Preliminaries 3.1.1 Results of expressions are displayed when not stored 3.1.2 Assignment 3.1.3 Multiple assignment 3.2 Real, complex, and string values 3.2.1 Real values 3.2.2 Complex values 3.2.3 String values (ASCII, Unicode, and binary) 3.3 Scalars, vectors, and matrices 3.3.1 Functions rows(), cols(), and length() 3.3.2 Function I() 3.3.3 Function J() 3.3.4 Row-join and column-join operators 3.3.5 Null vectors and null matrices 3.4 Mata's advanced features 3.4.1 Variable types 3.4.2 Structures 3.4.3 Classes 3.4.4 Pointers 3.5 Notes for programmers 3.5.1 How programmers use Mata's interactive mode 3.5.2 What happens when code has errors 3.5.3 The _error() abort function 4 Mata's programming statements 4.1 The structure of Mata programs 4.2 The program body 4.2.1 Expressions 4.2.2 Conditional execution statement 4.2.3 Looping statements 4.2.3.1 while 4.2.3.2 for 4.2.3.3 do while 4.2.3.4 continue and break 4.2.4 goto 4.2.5 return 4.2.5.1 Functions returning values 4.2.5.2 Functions returning void 5 Mata's expressions 5.1 More surprises 5.2 Numeric and string literals 5.2.1 Numeric literals 5.2.1.1 Base-10 notation 5.2.1.2 Base-2 notation 5.2.2 Complex literals 5.2.3 String literals 5.3 Assignment operator 5.4 Operator precedence 5.5 Arithmetic operators 5.6 Increment and decrement operators 5.7 Logical operators 5.8 (Understand this ? skip : read) Ternary conditional operator 5.9 Matrix row and column join and range operators 5.9.1 Row and column join 5.9.2 Comma operator is overloaded 5.9.3 Row and column count vectors 5.10 Colon operators for vectors and matrices 5.11 Vector and matrix subscripting 5.11.1 Element subscripting 5.11.2 List subscripting 5.11.3 Permutation vectors 5.11.3.1 Use to sort data 5.11.3.2 Use in advanced mathematical programming 5.11.4 Submatrix subscripting 5.12 Pointer and address operators 5.13 Cast-to-void operator 6 Mata's variable types 6.1 Overview 6.2 The forty variable types 6.2.1 Default initialization 6.2.2 Default eltype, orgtype, and therefore, variable type 6.2.3 Partial types 6.2.4 A forty-first type for returned values from functions 6.3 Appropriate use of transmorphic 6.3.1 Use transmorphic for arguments of overloaded functions 6.3.2 Use transmorphic for output arguments 6.3.2.1 Use transmorphic for passthru variables 6.3.3 You must declare structures and classes if not passthru 6.3.4 How to declare pointers 7 Mata's strict option and Mata's pragmas 7.1 Overview 7.2 Turning matastrict on and off 7.3 The messages that matastrict produces, and suppressing them 8 Mata's function arguments 8.1 Introduction 8.2 Functions can change the contents of the caller's arguments 8.2.1 How to document arguments that are changed 8.2.2 How to write functions that do not unnecessarily change arguments 8.3 How to write functions that allow a varying number of arguments 8.4 How to write functions that have multiple syntaxes 9 Programming example: n_choose_k() three ways 9.1 Overview 9.2 Developing n_choose_k() 9.3 n_choose_k() packaged as a do-file 9.3.1 How I packaged the code: n_choose_k.do 9.3.2 How I could have packaged the code 9.3.2.1 n_choose_k.mata 9.3.2.2 test_n_choose_k.do 9.3.3 Certification files 9.4 n_choose_k() packaged as an ado-file 9.4.1 Writing Stata code to call Mata functions 9.4.2 nchooseki.ado 9.4.3 test_nchooseki.do 9.4.4 Mata code inside of ado-files is private 9.5 n_choose_k() packaged as a Mata library routine 9.5.1 Your approved source directory 9.5.1.1 make_lmatabook.do 9.5.1.2 test.do 9.5.1.3 hello.mata 9.5.1.4 n_choose_k.mata 9.5.1.5 test_n_choose_k.do 9.5.2 Building and rebuilding libraries 9.5.3 Deleting libraries 10 Mata's structures 10.1 Overview 10.2 You must define structures before using them 10.3 Structure jargon 10.4 Adding variables to structures 10.5 Structures containing other structures 10.6 Surprising things you can do with structures 10.7 Do not omit the word scalar in structure declarations 10.8 Structure vectors and matrices and use of the constructor function 10.9 Use of transmorphic with structures 10.10 Structure pointers 11 Programming example: Linear regression 11.1 Introduction 11.2 Self-threading code 11.3 Linear-regression system lr*() version 1 11.3.1 lr*() in action 11.3.2 The calculations to be programmed 11.3.3 lr*() version-1 code listing 11.3.4 Discussion of the lr*() version-1 code 11.3.4.1 Getting started 11.3.4.2 Assume subroutines 11.3.4.3 Learn about Mata's built-in subroutines 11.3.4.4 Use of built-in subroutine cross() 11.3.4.5 Use more subroutines 11.4 Linear-regression system lr*() version 2 11.4.1 The deviation from mean formulas 11.4.2 The lr*() version-2 code 11.4.3 lr*() version-2 code listing 11.4.4 Other improvements you could make 11.5 Closeout of lr*() version 2 11.5.1 Certification 11.5.2 Adding lr*() to the lmatabook.mlib library 12 Mata's classes 12.1 Overview 12.1.1 Classes contain member variables 12.1.2 Classes contain member functions 12.1.3 Member functions occult external functions 12.1.4 Members—variables and functions—can be private 12.1.5 Classes can inherit from other classes 12.1.5.1 Privacy versus protection 12.1.5.2 Subclass functions occult superclass functions 12.1.5.3 Multiple inheritance 12.1.5.4 And more 12.2 Class creation and deletion 12.3 The this prefix 12.4 Should all member variables be private? 12.5 Classes with no member variables 12.6 Inheritance 12.6.1 Virtual functions 12.6.2 Final functions 12.6.3 Polymorphisms 12.6.4 When to use inheritance 12.7 Pointers to class instances 13 Programming example: Linear regression 2 13.1 Introduction 13.2 LinReg in use 13.3 LinReg version-1 code 13.4 Adding OPG and robust variance estimates to LinReg 13.4.1 Aside on numerical accuracy: Order of addition 13.4.2 Aside on numerical accuracy: Symmetric matrices 13.4.3 Finishing the code 13.5 LinReg version-2 code 13.6 Certifying LinReg version 2 13.7 Adding LinReg version 2 to the lmatabook.mlib library 14 Better variable types 14.1 Overview 14.2 Stata's macros 14.3 Using macros to create new types 14.4 Macroed types you might use 14.4.1 The boolean type 14.4.2 The Code type 14.4.3 Filehandle 14.4.4 Idiosyncratic types, such as Filenames 14.4.5 Macroed types for structures 14.4.6 Macroed types for classes 14.4.7 Macroed types to avoid name conflicts 15 Programming constants 15.1 Problem and solution 15.2 How to define constants 15.3 How to use constants 15.4 Where to place constant definitions 16 Mata's associative arrays 16.1 Introduction 16.2 Using class AssociativeArray 16.3 Finding out more about AssociativeArray 17 Programming example: Sparse matrices 17.1 Introduction 17.2 The idea 17.3 Design 17.3.1 Producing a design from an idea 17.3.2 The design goes bad 17.3.3 Fixing the design 17.3.3.1 Sketches of R_*x*() and S_*x*() subroutines 17.3.3.2 Sketches of class's multiplication functions 17.3.4 Design summary 17.3.5 Design shortcomings 17.4 Code 17.5 Certification script 18 Programming example: Sparse matrices, continued 18.1 Introduction 18.2 Making overall timings 18.2.1 Timing T1, Mata R=RR 18.2.2 Timing T2, SpMat R=RR 18.2.3 Timing T3, SpMat R=SR 18.2.4 Timing T4, SpMat R=RS 18.2.5 Timing T5, SpMat R=SS 18.2.6 Call a function once before timing 18.2.7 Summary 18.3 Making detailed timings 18.3.1 Mata's timer() function 18.3.2 Make a copy of the code to be timed 18.3.3 Make a do-file to run the example to be timed 18.3.4 Add calls to timer_on() and timer_off() to the code 18.3.5 Analyze timing results 18.4 Developing better algorithms 18.4.1 Developing a new idea 18.4.2 Aside 18.4.2.1 Features of associative arrays 18.4.2.2 Advanced use of pointers 18.5 Converting the new idea into code sketches 18.5.0.3 Converting the idea into a sketch of R_SxS() 18.5.0.4 Sketching subroutine cols_of_row() 18.5.1 Converting sketches into completed code 18.5.1.1 Double-bang comments and messages 18.5.1.2 // NotReached comments 18.5.1.3 Back to converting sketches 18.5.2 Measuring performance 18.6 Cleaning up 18.6.1 Finishing R_SxS() and cols_of_row() 18.6.2 Running certification 18.7 Continuing development 19 The Mata Reference Manual A Writing Mata code to add new commands to Stata A.1 Overview A.2 Ways to structure code A.3 Accessing Stata's data from Mata A.4 Handling errors A.5 Making the calculation and displaying results A.6 Returning results A.7 The Stata interface functions A.7.1 Accessing Stata's data A.7.2 Modifying Stata's data A.7.3 Accessing and modifying Stata's metadata A.7.4 Changing Stata's dataset A.7.5 Accessing and modifying Stata macros, scalars, matrices A.7.6 Executing Stata commands from Mata A.7.7 Other Stata interface functions B Mata's storage type for complex numbers B.1 Complex values B.2 Complex values and literals B.3 Complex scalars, vectors, and matrices B.4 Real, complex, and numeric eltypes B.5 Functions Re(), Im(), and C() B.6 Function eltype() C How Mata differs from C and C++ C.1 Introduction C.2 Treatment of semicolons C.3 Nested comments C.4 Argument passing C.5 Strings are not arrays of characters C.6 Pointers C.6.1 Pointers to existing objects C.6.2 Pointers to new objects, allocation of memory C.6.3 The size and even type of the object may change C.6.4 Pointers to new objects, freeing of memory C.6.5 Pointers to subscripted values C.6.6 Pointer arithmetic is not allowed C.7 Lack of switch/case statements C.8 Mata code aborts with error when C would crash D Three-dimensional arrays (advanced use of pointers) D.1 Introduction D.2 Creating three-dimensional arrays References Author index Subject index 首发，学习交流用，保护作者产权。 任意选择一本即可。 书中的数据： 书中的材料在此下载：http://www.stata-press.com/data/tmb.html 正版书在此购买：http://www.stata-press.com/books/mata-book/ |
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