协方差分析的SAS实现方法

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7120033()JournalofShiheziUniversity(NaturalScience)Vol.7No.1Mar.2003:10077383(2003)01004504SAS1,1,1,2(1,832003;2,832003):,,,SAS:;;;SAS:S11+4:A,,(),[1],,,(),3,,,1,,SAS11.1[2],1()1,()21.2,,(),,,3,12,,,,yix(x=x)yi(x=x),3SAS[3]13kg/A475853464956544450.85y546663515666615058.35B525364585961636659.50y545367626263646961.70C444846505957585351.85y525854617064696661.70:20021105:(1977),,,22.1SASdataxifang;dotreat=1to3;dor=1to8;inputxy@@;output;end;end;cards;475458665363465149565666546144505254535364675862596261636364666944524858465450615970576458695366;procunivariatenormal;/*1x*/varx;bytreat;run;procunivariatenormal;/*2y*/var;bytreat;run;procanova;classtreat;/*3x*/modelx=treat;run;procanova;classtreat;/*4y*/modely=treat;run;procglm;classtreat;/*5x*/modely=xtreat/solution;lsmeanstreat/stderrpdifftdiff;run;2.22,30,w0.90,P(w)0.05,,2AxyBxyCxyCs0.044729-0.05744-0.42781-0.62951-0.02857-0.26358w0.947880.904060.9414560.9025580.9269240.945598P(w)0.69250.31860.62910.30900.49330.66992.33(3):(F=6.34,P0.007),,(F=0.77,P0.4767),1,,3xFPyFP2356.0833178.0416.340.00760.75030.3750.770.476721589.75028.0833830.87539.565523945.8333891.6252.4:,04,C(B),(b=1.151547266)sb=0.06434228,t=b/sb=17.90,P0.0001,,[4]4tP2.013485587B0.600.55843.38316481(x)1.15154726617.900.00010.06434228A-2.223452734B-2.840.01020.78391372B-8.780547902B-9.520.00010.92253935C()0.000000000B46()72.5(5):ABC(F=45.64,P0.0001),,x1kg,1.151547266kg,x=x,xx,,xxyij(x=x)=yij-b(xij-x),,yiyi(x=x),:yi(x=x)=yi-b(xi-x):A:y1(x=x)=58.375-1.151547266(50.875-54.083)=55.5124523;B:y2(x=x)=61.750-1.151547266(59.500-54.083)=55.5124523;C:y3(x=x)=61.750-1.151547266(51.175-54.083)=64.29300025FP2222.8406382111.420319145.640.00012048.830463122271.67110132.6(6),3,1(A)3(C)2(B),63/kg-1P5%1%C64.29300020.57042070.0001aAA62.06954750.58974940.0001bAB55.51245230.65318990.0001cB31)yiyi(x=x),,,yi:B=CA;Yi(x=x):CABB,B,x2=59.5;AC,(x1=50.875,x3=51.875),2),()2,,3)SAS,,12(),,34,xy,xy,yxy,,5,SASunivariate,AnovaGlm4)SAS,,2,,471,:SAS:[1].[J].,2000,22(4):3740.[2].[M].:,2000.[3].SAS[M].:,1997[4],.[J].,2001,18(2):116118.TheApplicationofSASinCovarianceAnalysisRENHongsong1,CAOLianpu1,WeiLingji1,LIUDongxu2(1DeparmentofAgronmyScience,AgriculturalCollege,ShiheziUniversity,Shihezi,Xinjiang,832003,China;2CollegeofWaterConservancy&ArchitecturalEngineering,ShiheziUniversity,Shihezi,Xinjiang,832003,China)Abstract:Covarianceanalysisisastatisticalmethodwithvarianceanalysisandregressionanalysissynthesized.Thepaperdiscussestheapplicationofcovarianceanalysisinappleexperimentbythecomparisonofresultsdifferenceofvarianceanalysisandcovarianceanalysis.Meanwhile,thecourseofSASachievementisexpoundedcompletely.Keywords:regressionanalysis;varianceanalysis;covarianceanalysis;SASprocedure48()7

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