INTRODUCTION TO STATISTICAL MODELLING IN R

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P.M.E.Altham, University of Cambridge 10For the present we make use only of x, y and do the linear regression of y on x,followed by that of y on x and x 2 .plot(x,y)teeny
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 14 and 15: P.M.E.Altham, University of Cambrid
Page 20 and 21: Chapter 3A Fun example showing you
Page 26 and 27: Chapter 4A one-way anova, and a qqn
Page 36 and 37: Chapter 7Logistic regression for th
Page 42 and 43: Chapter 9Binomial and Poisson regre
Page 46 and 47: Chapter 10Analysis of a 2-way conti
Page 50 and 51: Chapter 11Poisson regression: some
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P.M.E.Altham, University of Cambrid
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Chapter 14Regression diagnostics co
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Chapter 15Football arrests, Poisson
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Chapter 16An interesting data set o
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Chapter 17glm() with the gamma dist
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Chapter 20Miscellaneous datasets ga
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Chapter 21An application of theBrad
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INTRODUCTION TO STATISTICAL MODELLING IN R

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