R 4.0 Docs

Documentation du langage de programmation R 4.0

R Programming Language 4.0 Documentation:

An Introduction to R

- how to use R for doing statistical analysis and graphics.

R Data Import/Export

- describes the facilities available either in R itself or via packages.

R Installation and Administration

- a guide to installation and administration for R

Writing R Extensions

- covers how to create your own packages, write R help files, and the foreign language (C, C++, Fortran, ...) interfaces

The R language definition

- documents the language per se. That is, the objects that it works on, and the details of the expression evaluation process, which are useful to know when programming R functions.

R Internals

- a guide to the internal structures of R and coding standards for the core team working on R itself.

R FAQ

- general collection and contains useful information for users on all platforms

R Windows FAQ

- for all users of Microsoft operating systems

An Introduction to R

Preface

1 Introduction and preliminaries

2 Simple manipulations; numbers and vectors

3 Objects, their modes and attributes

4 Ordered and unordered factors

5 Arrays and matrices

6 Lists and data frames

7 Reading data from files

8 Probability distributions

9 Grouping, loops and conditional execution

10 Writing your own functions

11 Statistical models in R

12 Graphical procedures

13 Packages

14 OS facilities

Appendix A A sample session

Appendix B Invoking R

Appendix C The command-line editor

Appendix D Function and variable index

Appendix E Concept index

Appendix F References

R Data Import/Export

Acknowledgements

1 Introduction

2 Spreadsheet-like data

3 Importing from other statistical systems

4 Relational databases

5 Binary files

6 Image files

7 Connections

8 Network interfaces

9 Reading Excel spreadsheets

Appendix A References

Function and variable index

Concept index

R Installation and Administration

1 Obtaining R

2 Installing R under Unix-alikes

3 Installing R under Windows

4 Installing R under macOS

5 Running R

6 Add-on packages

7 Internationalization and Localization

8 Choosing between 32- and 64-bit builds

9 The standalone Rmath library

Appendix A Essential and useful other programs under a Unix-alike

Appendix B Configuration on a Unix-alike

Appendix C Platform notes

Appendix D The Windows toolset

Function and variable index

Concept index

Environment variable index

Writing R Extensions

Acknowledgements

1 Creating R packages

2 Writing R documentation files

3 Tidying and profiling R code

4 Debugging

5 System and foreign language interfaces

6 The R API: entry points for C code

7 Generic functions and methods

8 Linking GUIs and other front-ends to R

Function and variable index

Concept index

The R language definition

1 Introduction

2 Objects

3 Evaluation of expressions

4 Functions

5 Object-oriented programming

6 Computing on the language

7 System and foreign language interfaces

8 Exception handling

9 Debugging

10 Parser

Function and Variable Index

Concept Index

Appendix A References

R Internals

1 R Internal Structures

2 .Internal vs .Primitive

3 Internationalization in the R sources

4 Structure of an Installed Package

5 Files

6 Graphics

7 GUI consoles

8 Tools

9 R coding standards

10 Testing R code

11 Use of TeX dialects

12 Current and future directions

Function and variable index

Concept index

R FAQ

1 Introduction

2 R Basics

3 R and S

4 R Web Interfaces

5 R Add-On Packages

6 R and Emacs

7 R Miscellanea

8 R Programming

9 R Bugs

10 Acknowledgments

R Windows FAQ

1 Introduction

2 Installation and Usage

3 Languages and Internationalization

4 Packages

5 Windows Features

6 Workspaces

7 The R Console

8 Building from Source