INTRODUCTION TO STATISTICAL MODELLING IN R

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PrefaceR is available as Free Software under the terms of the Free Software Foundation’sGNU General Public License in source code form.R is powerful and highly developed (and very similar in syntax to S-Plus).The originators of R are R.Gentleman and R.Ihaca from New Zealand, and the Rhome page is at http://www.r-project.org/R runs on several different platforms: I always use the Linux version.These worksheets may be used for any educational purpose provided theirauthorship (P.M.E.Altham) is acknowledged.Note that throughout these notes, which were constructed for Part IIC of the MathematicalTripos in Lent 2005, we will be using R as a free, ‘look-alike’ version ofS-plus. You may find references to ‘S-plus’, which you can usually take to be referencesto ‘R’.There are subtle and important differences between the languages R and S-plus;these differences will not be explained in the following notes, except where they arestrictly relevant to our worksheets. http://www.stats.ox.ac.uk/pub/R gives acareful description of the differences between R and S-Plus, in ‘R’ Complementsto the text-book Modern Applied Statistics with S-plus, by W.N.Venables andB.D.Ripley, pub Springer.http://www.statslab.cam.ac.uk/~pat/notes.pdf gives you the correspondinglecture notes for this course, with a fuller version of these notes at http://www.statslab.cam.ac.uk/~pat/All.pdf My R/Splus worksheets for multivariate statistics,and other examples, may be seen at http://www.statslab.cam.ac.uk/~pat/misc.pdf A word of reassurance about the Tripos questions for this course: I wouldnot expect you to be able to remember a lot of R commands and R syntax. ButI do think it’s important that you are able to interpret R output for linear modelsand glm’s, and that you can show that you understand the underlying theory. Ofcourse you may find it convenient to use R for your Computational Projects.Since I retired at the end of September 2005, I have added extra datasets (andgraphs) from time to time, as you will see in the Table of Contents. I probably onlyused the first 8-10 Chapters when I was giving this course as one of 16 lectures and8 practical classes.AcknowledgementsSpecial thanks must go to Professor Jim Lindsey for launching me into R, to3
P.M.E.Altham, University of Cambridge 4Dr R.J.Gibbens for his help in introducing me to S-plus, and also to ProfessorB.D.Ripley for access to his S-plus lecture notes. Several generations of keen andcritical students for the Cambridge University Diploma in Mathematical Statistics(a 1-year graduate course, which from October 1998 was replaced by the MPhilin Statistical Science) have made helpful suggestions which have improved theseworksheets. Readers are warmly encouraged to tell mep.altham@statslab.cam.ac.ukof any further corrections or suggestions for improvements.
Page 1: INTRODUCTION TO STATISTICALMODELLIN
Page 6: Chapter 1Getting started: books and
Page 9: Chapter 2Ways of reading in data, t
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Chapter 12Fisher’s exact test, 3-
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Chapter 13Defining a function in R,
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Chapter 18Crime and unemployment: a
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Chapter 19Maximising a multi-parame
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Chapter 22Brief introduction to Sur
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IndexAIC, 36.Rdata, 10.Rhistory, 10
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