Using R for Introductory Statistics : John Verzani

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Contents1 Data 12 Univariate data 313 Bivariate data 674 Multivariate Data 1025 Describing populations 1386 Simulation 1617 Confidence intervals 1788 Significance tests 2079 Goodness of fit 23910 Linear regression 26411 Analysis of variance 29812 Two extensions of the linear model 327A Getting, installing, and running R 343B Graphical user interfaces and R 348C Teaching with R 354D More on graphics with R 356E Programming in R 369Index 392
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Using R for introductory statistics
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Chapter 4Multivariate DataMultivari
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Chapter 5Describing populationsStat
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Chapter 7Confidence intervalsIn thi
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Chapter 10Linear regressionIn Chapt
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Chapter 11Analysis of varianceAnaly
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Appendix A 344There is an up-to-dat
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Appendix A 346update. packages () t
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Appendix B 349Figure B.1 Initial RG
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Appendix B 351Figure B.3 The R cons
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Appendix B 353The desired variable
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Appendix C 355materials is no diffe
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Appendix D 357will set the default
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Appendix D 359In the example at the
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Appendix D 361The function gray ()
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Appendix D 365) {## create a square
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Appendix D 367layout.show(nf)n
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Appendix E 370This command opens a
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Appendix E 372> ourhist(x)It works
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Appendix E 374lines(density(x))}The
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Appendix E 376The logic should be c
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Appendix E 378}while(x > 0) {ret =
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Appendix E 380function, R looks fir
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Appendix E 384Creating an instance
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Appendix E 388String$defineMethod("
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Appendix E 390setMethod("punctuate"
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Index>, 5… argument, 170, 389:, 1
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Index 394ks.test(), 268lapply(), 12
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Index 396supsmu(), 101switch(), 384
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Index 398firstchi, 66five.yr.temper
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Index 400simple linear regression,
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Index 402transform, 95treatment cod
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Using R for Introductory Statistics : John Verzani

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