![]() This should give some familiarity with the style of R sessionsĪnd more importantly some instant feedback on what actually happens. Most R novices will start with the introductory session in AppendixĪ. ![]() In this way, and for being a supporter of R from way back.Ĭomments and corrections are always welcome. We would like to extend warm thanks to Bill Venables (and David Smith)įor granting permission to distribute this modified version of the notes R and S programs, and expanded some of the material. Have made a number of small changes to reflect differences between the Smith when at the University of Adelaide. This introduction to R is derived from an original set of notesĭescribing the S and S-PLUS environments written in 1990–2 byīill Venables and David M. Next: Introduction and preliminaries, Previous: An Introduction to R, Up: An Introduction to R Preface 12.6.1 PostScript diagrams for typeset documents.12.4.2 Temporary changes: Arguments to graphics functions.12.4.1 Permanent changes: The par() function.12.1.4 Arguments to high-level plotting functions.11.7 Nonlinear least squares and maximum likelihood models.11.4 Analysis of variance and model comparison.11.3 Generic functions for extracting model information.11.1 Defining statistical models formulae.10.9 Classes, generic functions and object orientation.10.6.2 Dropping all names in a printed array.10.6.1 Efficiency factors in block designs.9.2.2 Repetitive execution: for loops, repeat and while.9.2.1 Conditional execution: if statements.9 Grouping, loops and conditional execution.8.2 Examining the distribution of a set of data.7.3.1 Loading data from other R packages.5.9 The concatenation function, c(), with arrays.5.8 Forming partitioned matrices, cbind() and rbind().5.7.5 Least squares fitting and the QR decomposition.5.7.4 Singular value decomposition and determinants. ![]()
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