An Introduction to R. Table of Contents This is an introduction to R (“GNU S”), a language and environment for statistical computing and graphics. R is similar to the award-winning1 S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...).
This manual provides information on data types, programming elements, statistical modelling and graphics. This manual is for R, version 3.0.3 (2014-03-06). Copyright © 1990 W. Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies. Preface This introduction to R is derived from an original set of notes describing the S and S-PLUS environments written in 1990–2 by Bill Venables and David M. Comments and corrections are always welcome. Suggestions to the reader 1.1 The R environment Try ? R Language Feature: Analytics. Skip to main content You are here Home » Community » What is R?
» R Language Features R Language Features: Analytics Features of the R language for Mathematics and Statistics *** Requires additional open-source community packages from CRAN Basic Mathematics Complex arithmeticComputation of orthogonal polynomialsCross productsCumulative products and sumsExponential functionsHyperbolic functionsKronecker products on arraysLogarithms (any base)Logical operatorsMatrix operations including median polish of a matrixQR decompositionsingular value decompositionspectral decompositionSymbolic and algorithmic derivativesTrigonometric functions Basic Statistics meanstandard deviationvariancemedianquantilecorrelationcross tabulations Probability Distributions Density, quantiles, probability and simulation for: Machine Learning Cluster Analysis K-meansHierarchical clusteringGeneral tree structuresNeural NetworksTrees and Recursive Partitioning Optimization and Mathematical Programming Signal Processing Webpage.
Wwwhome.cs.utwente.nl/~hiemstra/papers/sigir10.pdf. Www.cond.org/anonlogs.pdf. R Language Features. Read the Revolutions Blog Follow us on Twitter Get our Newsletter Products Revolution R Enterprise Revolution R Community FREE Academic Software Services R Consulting R Training R Technical Support R Downloads Why Revolution R? Which R is Right for Me? What is Open Source R? R Language Features Reasons to Buy Benchmarks R White Papers Big Data Analysis with R Customer Testimonials Revolution R in Finance Revolution R in Life Sciences Support Support Offerings Discussion Forum Support FAQs Submit a Support Case Supported Platforms News & Events News Room Upcoming Events Free Webinars Revolution Newsletters Blog R User Group Sponsorship About Us Who We R Leadership Our Customers Careers Legal Partner Programs Questions?
What is R? Companies using R R in Finance R in Life Sciences Additional R Resources Home This document describes the capabilities of the open-source R language included with Revolution R Enterprise. . * Requires Revolution R Enterprise ** Requires Revolution R Enterprise for IBM Netezza Basic Mathematics Basic Statistics. A big list of the things R can do.