[...]... describing the R language in detail • Part III, Working with Data, covers data processing in R: loading data into R, transforming data, and summarizing data • Part IV, Data Visualization, describes how to plot data with R • Part V, Statistics with R, covers statistical tests and models in R • Part VI, Additional Topics, contains chapters that don’t belong elsewhere: tuning R programs, writing parallel... the world’s leading authors in technology and business Technology professionals, software developers, web designers, and business and creative professionals use Safari Books Online as their primary resource for research, problem solving, learning, and certification training Safari Books Online offers a range of product mixes and pricing programs for organizations, government agencies, and individuals... and an overview of the features of R 1 Getting and Installing R This chapter explains how to get R and how to install it on your computer R Versions Today, R is maintained by a team of developers around the world Usually, there is an official release of R twice a year, in April and in October I’ve checked the code in this book against 2.15.1, but if you have an earlier or later version of R installed,... Commercial applications like SAS, SPSS, and S-PLUS include UIs with much more functionality Several projects are aiming to build an easier-to-use GUI for R: Rcmdr The Rcmdr project is an R package that provides an alternative GUI for R You can install it as an R package It provides some buttons for loading data and menu items for many common R functions Rkward Rkward is a slick GUI front end for R It provides... installation is straightforward: double-click the installer and follow the on-screen instructions There are some known issues with installing R on Microsoft Windows Vista In particular, some users have problems with file permissions Here are two approaches for avoiding these issues: • Install R as a standard user in your own file space This is the simplest approach • Install R as the default Administrator... Assumptions of Least Squares Regression Robust and Resistant Regression Subset Selection and Shrinkage Methods Stepwise Variable Selection Ridge Regression Lasso and Least Angle Regression elasticnet Principal Components Regression and Partial Least Squares Regression Nonlinear Models Generalized Linear Models glmnet Nonlinear Least Squares Survival Models Smoothing Splines Fitting Polynomial Surfaces... can find information about this software at http://rcom.univie.ac.at/ This site also includes a single installer that will install R plus all the other software you need to use RExcel If you already have R installed, you can install RExcel as a package from CRAN The following set of commands will download RExcel, configure the RCOM server, install RDCOM, and launch the RExcel installer: 14 | Chapter... Chapter 1: Getting and Installing R Mac OS X You’ll find three different R installers for Mac OS X: a three-way universal binary for Mac OS X 10.5 (Leopard) and higher, a legacy universal binary for Mac OS X 10.4 and higher with supplemental tools, and a legacy universal binary for Mac OS X 10.4 and higher without supplemental tools See the CRAN download site for more details on the differences among... functionality is implemented in the standard R GUI The standard R GUI implements only very rudimentary functionality through menus: reading help, managing multiple graphics windows, editing some source and data files, and some other basic functionality There are no menu items, buttons, or palettes for loading data, transforming data, plotting data, building models, or doing any interesting work with data... for hundreds (maybe thousands) of statistical and data analysis algorithms in R No commercial package offers anywhere near the scope of functionality available through the Comprehensive R Archive Network (CRAN) Community There are now hundreds of thousands (if not millions) of R users worldwide By using R, you can be sure that you’re using the same software your colleagues are using Performance R s . describing the R language in detail. • Part III, Working with Data, covers data processing in R: loading data into R, transforming data, and summarizing data. •. threats. I’ve learned a lot about data and matured a lot as a data analyst. R, too, has matured a great deal over the past decade. R is used at the world’s