R 4.0 Docs

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