INTRODUCTION TO STATISTICAL MODELLING IN R

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Chapter 9Binomial and Poisson regressionFirstly we give an example where both Binomial and Poisson regressions are appropriate:this is for the Missing Persons dataset.Some rather gruesome data published on March 8, 1994 in The Independent underthe headline“ Thousands of people who disappear without trace ”are analysed below,s
P.M.E.Altham, University of Cambridge 42Proportion of people still missing at the end of a year, by age & sexsexmean of s/r0.01 0.02 0.03 0.04fm13&under 14−18 19&overAgeFigure 9.1: The interaction graph for age and sexl
Page 1: INTRODUCTION TO STATISTICALMODELLIN
Page 4 and 5: PrefaceR is available as Free Softw
Page 6: Chapter 1Getting started: books and
Page 9: Chapter 2Ways of reading in data, t
Page 13 and 14: P.M.E.Altham, University of Cambrid
Page 29 and 30: Chapter 5A 2-way anova, how to set
Page 33 and 34: Chapter 6A 2-way layout with missin
Page 39 and 40: Chapter 8The space shuttle temperat
Page 41: P.M.E.Altham, University of Cambrid
Page 59 and 60: Chapter 12Fisher’s exact test, 3-
Page 63 and 64: Chapter 13Defining a function in R,
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Page 83 and 84: Chapter 18Crime and unemployment: a
Page 87 and 88: Chapter 19Maximising a multi-parame
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P.M.E.Altham, University of Cambrid
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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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