SASCHAP4 - SAS SAS/BASE SAS Language Guide SAS Procedures Guide SAS/STAT SAS/IML SAS/GRAPH SAS/STAT GLM ANOVA CATMOD NESTED VARCOMP MIXED NPAR1WAY

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Unformatted text preview: SAS SAS/BASE SAS Language Guide SAS Procedures Guide SAS/STAT SAS/IML SAS/GRAPH SAS/STAT GLM ANOVA CATMOD NESTED VARCOMP MIXED NPAR1WAY TTEST PLAN (Analysis of Variance) (Sources of Variation) (Effects) (Random error) ( ) (least-square) ANOVA (Balanced Designs) (multivariate analysis) (analysis of variance for repeated measurement) (multiple comparison tests) (treatment combination) (experimental unit) ANOVA GLM CATMOD GLM (linear contrast) (estimate) NESTED 87 NPAR1WAY (nonparametric one-way analysis of rank scores) PLAN (nested and crossed experiments) TTEST VARCOMP F test µ i Ho: µ 1 = µ 2 = µ 3 = …= µ t ANOVA GLM MEANS ( Duncan’s NMRT LSD Tukey’s HSD SNK Bonferroni Scheffe ) TEST (Mean squares) (Error mean square) ( ) 1.PROC ANOVA options; CLASS variables; MODEL dependents = effects / options; ABSORT variables; BY variables; FREQ variables; MEANS effects / options; TEST H = effects E = effect; MANOVA H = effects E = effect M=equation2,… REPEATED factorname levels (levevalues) transformation [,..]/options; CLASS variables; (classification variables) MODEL numeric character CLASS BLOCK TRT MODEL dependents = effects / options; 88 ANOVA MODEL PROC ANOVA; CLASS BLOCK TRT; MODEL ADG BF=BLOCK TRT; PROC ANOVA; CLASS A B C; MODEL Y1 Y2 Y3 Y4=A B C B*C ( Y1-Y4=A B|C; ) ABSORT variables; (blocking factor) level PROC ANOVA; CLASS HERD A B; MODEL Y=HERD A B A*B; PROC ANOVA; ABSORT HERD; MODEL Y=A B A*B; ABSORT (sorting) MODEL RUN BY variables FREQ variable MEANS effects/options CLASS ANOVA MEANS MODEL options BON Bonferroni t test DUNCAN Duncan’s multiple-range test SCHEFFE Scheffe’s multiple comparison SNK Student-Newman-Keul multiple range test T or LSD Least Significance Difference test TUKEY Tukey’s studentized range test (HSD) DUNNETT DUNNETT test 89 MEANS A/DUNNET(‘CONTROL) ALPHA (level of significance) E = effect (error mean square) LINES CLDIFF TEST H=effects E = effect (effect) (error mean square) F test (Split-plot design) PROC ANOVA; CLASS A B C; MODEL Y=A|B(A)|C; TEST H=A E=B(A); TEST H=C A*C E=C*B(A); MANOVA H=effects E = effect M=equation1, equation2,… MNAMES= list of names PREFIX =name/options; MODEL (dependent variables) MANOVA (observation) missing REPEATED factorname levels (levevalues ) transformation [,..]/options MODEL 90 /* Example from Snedecor & Cochran, 1980. Statistical Methods, p216 */ DATA DOUGHNUT; INPUT TRT $ FAT @@; CARDS; 1 64 2 78 3 75 4 55 1 72 2 91 3 93 4 66 1 68 2 97 3 78 4 49 1 77 2 82 3 71 4 64 1 56 2 85 3 63 4 70 1 95 2 77 3 76 4 68 ; PROC ANOVA; CLASS TRT; MODEL FAT=TRT; MEANS TRT; RUN; 91 The SAS System 1 22:10 Tuesday, May 19, 1998 Analysis of Variance Procedure Class Level Information Class Levels Values TRT 4 1 2 3 4 Number of observations in data set = 24 The SAS System 2 22:10 Tuesday, May 19, 1998 Analysis of Variance Procedure Dependent Variable: FAT Sum of Mean Source DF Squares Square F Value Pr > F Model 3 1636.500000 545.500000 5.41 0.0069 Error 20 2018.000000 100.900000 100....
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This note was uploaded on 06/11/2010 for the course EPSY 589 taught by Professor Carolynanderson during the Spring '09 term at University of Illinois at Urbana–Champaign.

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SASCHAP4 - SAS SAS/BASE SAS Language Guide SAS Procedures Guide SAS/STAT SAS/IML SAS/GRAPH SAS/STAT GLM ANOVA CATMOD NESTED VARCOMP MIXED NPAR1WAY

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