INTRODUCTION TO STATISTICAL MODELLING IN R

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Chapter 3A Fun example showing you someplotting and regression facilitiesHere we use a data-set from Venables and Ripley to show you some plotting andregression facilities.These include some ‘diagnostic plots’ to check whether the residuals could have comefrom an N(0, σ 2 ) distribution: the theory behind these ‘qqplots’ will be explainedlater in the course.NB: we use a ‘built-in’ dataset from the Venables and Ripley library(MASS).library(MASS)data(mammals)attach(mammals) # to ‘attach’ the column headingsspecies
P.M.E.Altham, University of Cambridge 200 1000 2000 3000 4000 5000 −2 0 2 4 6 8x0 2000 4000 60000 1000 3000 5000ylx−4 0 2 4 6 8−2 0 2 4 6 8ly0 1000 3000 5000−4 −2 0 2 4 6 8Figure 3.1:A pairs plot of bodyweight=x, brainweight=y, and their logsplot(f,r) ; hist(r)plot(fl,rl); hist(rl) # further diagnostic checks# Which of the 2 regressions do you think is appropriate ?mam.mat
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Page 6: Chapter 1Getting started: books and
Page 9: Chapter 2Ways of reading in data, t
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Page 59 and 60: Chapter 12Fisher’s exact test, 3-
Page 63 and 64: 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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INTRODUCTION TO STATISTICAL MODELLING IN R

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