R 4.0 Docs

Features 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 RWriting R Extensions - covers how to create your own packages, write R help files, and the foreign language (C, C++, Fortran, ...) interfacesThe 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 platformsR Windows FAQ - for all users of Microsoft operating systemsAn Introduction to RPreface1 Introduction and preliminaries2 Simple manipulations; numbers and vectors3 Objects, their modes and attributes4 Ordered and unordered factors5 Arrays and matrices6 Lists and data frames7 Reading data from files8 Probability distributions9 Grouping, loops and conditional execution10 Writing your own functions11 Statistical models in R12 Graphical procedures13 Packages14 OS facilitiesAppendix A A sample sessionAppendix B Invoking RAppendix C The command-line editorAppendix D Function and variable indexAppendix E Concept indexAppendix F ReferencesR Data Import/ExportAcknowledgements1 Introduction2 Spreadsheet-like data3 Importing from other statistical systems4 Relational databases5 Binary files6 Image files7 Connections8 Network interfaces9 Reading Excel spreadsheetsAppendix A ReferencesFunction and variable indexConcept indexR Installation and Administration1 Obtaining R2 Installing R under Unix-alikes3 Installing R under Windows4 Installing R under macOS5 Running R6 Add-on packages7 Internationalization and Localization8 Choosing between 32- and 64-bit builds9 The standalone Rmath libraryAppendix A Essential and useful other programs under a Unix-alikeAppendix B Configuration on a Unix-alikeAppendix C Platform notesAppendix D The Windows toolsetFunction and variable indexConcept indexEnvironment variable indexWriting R ExtensionsAcknowledgements1 Creating R packages2 Writing R documentation files3 Tidying and profiling R code4 Debugging5 System and foreign language interfaces6 The R API: entry points for C code7 Generic functions and methods8 Linking GUIs and other front-ends to RFunction and variable indexConcept indexThe R language definition1 Introduction2 Objects3 Evaluation of expressions4 Functions5 Object-oriented programming6 Computing on the language7 System and foreign language interfaces8 Exception handling9 Debugging10 ParserFunction and Variable IndexConcept IndexAppendix A ReferencesR Internals1 R Internal Structures2 .Internal vs .Primitive3 Internationalization in the R sources4 Structure of an Installed Package5 Files6 Graphics7 GUI consoles8 Tools9 R coding standards10 Testing R code11 Use of TeX dialects12 Current and future directionsFunction and variable indexConcept indexR FAQ1 Introduction2 R Basics3 R and S4 R Web Interfaces5 R Add-On Packages6 R and Emacs7 R Miscellanea8 R Programming9 R Bugs10 AcknowledgmentsR Windows FAQ1 Introduction2 Installation and Usage3 Languages and Internationalization4 Packages5 Windows Features6 Workspaces7 The R Console8 Building from Source