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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 363par(mar=c(0,4,1,1))#
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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 382if (!is.String(x)) {x
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Appendix E 384Creating an instance
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Appendix E 386as -> is reserved for
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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