the r book statistical modelling

the r book statistical modelling

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时间:2018-02-11

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1、9StatisticalModellingThehardestpartofanystatisticalworkisgettingstarted.Andoneofthehardestthingsaboutgettingstartedischoosingtherightkindofstatisticalanalysis.Thechoicedependsonthenatureofyourdataandontheparticularquestionyouaretryingtoanswer.Thekeyistou

2、nderstandwhatkindofresponsevariableyouhave,andtoknowthenatureofyourexplanatoryvariables.Theresponsevariableisthethingyouareworkingon:itisthevariablewhosevariationyouareattemptingtounderstand.Thisisthevariablethatgoesontheyaxisofthegraph.Theexplanatoryvar

3、iablegoesonthexaxisofthegraph;youareinterestedintheextenttowhichvariationintheresponsevariableisassociatedwithvariationintheexplanatoryvariable.Youalsoneedtoconsiderthewaythatthevariablesinyouranalysismeasurewhattheypurporttomeasure.Acontinuousmeasuremen

4、tisavariablesuchasheightorweightthatcantakeanyrealnumberedvalue.Acategoricalvariableisafactorwithtwoormorelevels:sexisafactorwithtwolevels(maleandfemale),andcolourmightbeafactorwithsevenlevels(red,orange,yellow,green,blue,indigo,violet).Itisessential,the

5、refore,thatyoucananswerthefollowingquestions:Whichofyourvariablesistheresponsevariable?Whicharetheexplanatoryvariables?Aretheexplanatoryvariablescontinuousorcategorical,oramixtureofboth?Whatkindofresponsevariabledoyouhave:isitacontinuousmeasurement,a

6、count,aproportion,atimeatdeath,oracategory?Thesesimplekeyswillleadyoutotheappropriatestatisticalmethod:Theexplanatoryvariables(a)AllexplanatoryvariablescontinuousRegression(b)AllexplanatoryvariablescategoricalAnalysisofvariance(ANOVA)(c)Explanatoryvariab

7、lesbothcontinuousandcategoricalAnalysisofcovariance(ANCOVA)TheRBook,SecondEdition.MichaelJ.Crawley.©2013JohnWiley&Sons,Ltd.Published2013byJohnWiley&Sons,Ltd.STATISTICALMODELLING389Theresponsevariable(a)ContinuousNormalregression,ANOVAorANCOVA(b)Proportio

8、nLogisticregression(c)CountLog-linearmodels(d)BinaryBinarylogisticanalysis(e)TimeatdeathSurvivalanalysisTheobjectistodeterminethevaluesoftheparametersinaspecificmodelthatleadtothebestfitofthemodeltothedata.Thedataaresacrosan

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