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Practical Regression and Anova using R

PracticalRegressionandAnova usingRJulianJ. FarawayJuly20021 Copyrightc 1999,2000,2002 JulianJ. FarawayPermissiontoreproduceindividualco piesofthisbookforpersonaluseis a notintroductory. It theessentialsofstatisticalinferencelike estimation, is tolearnwhatmethodsareavailableandmoreimp ortantly, whenthey relativelylessemphasisonmathematicaltheo ry, partlybecausesomepriorknowledgeis importantbecauseit take a widerviewofstatisticaltheory. It is statisticalconceptsarejustasimportantin Statisticsbecausetheseenableusto actuallydoit principlesarehardertolearnbecausethey aredifficulttostatepreciselybutthey a aredesignedfordifferentaudiencesandhave have chosentouseR( (1996)).WhydoI useR? alsoa programminglanguage,soI amnotlimitedbytheproceduresthatareprepro grammedbya is relativelyeasytoprogramnew Dataanalysisis , a time,allowingustomake ,Macintosh, SASis themostcommonstatisticspackageingeneralb utRorS is alsopopularforquantitative thatit is notanintroductiontoR.

in the Appendix but readers are referred to the R-project web site at www.r-project.orgwhere you can find introductory documentation and information about books on R . I have intentionally included in the text all the commands used to produce the output seen in this book. This means that you can reproduce

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