Original Program from program editor.
********************************************************; *** Steele & Torrie (1980) Table 7.1 ***; *** Nitrogen content of red clover plants inoculated ***; *** with combination cultures of Rhizobium strains ***; ********************************************************; *** This example was used to demonstrate one-way ***; *** ANOVA and is used again here to compare and ***; *** demonstrate some non-parametric alternatives ***; ********************************************************; options ps=256 ls=99 nocenter nodate nonumber; TITLE1 'Examples of some nonparametric analyses'; data clover; infile cards missover; TITLE2 'Nitrogen content of red clover (S&T 1980)'; LABEL treatment = 'Rhizobium inoculum'; LABEL percent = 'Percent N content'; input treatment $ 1-6 percent; cards; run; 3DOk1 19.4 3DOk1 32.6 3DOk1 27.0 3DOk1 32.1 3DOk1 33.0 3DOk4 17.0 3DOk4 19.4 3DOk4 9.1 3DOk4 11.9 3DOk4 15.8 3DOk5 17.7 3DOk5 24.8 3DOk5 27.9 3DOk5 25.2 3DOk5 24.3 3DOk7 20.7 3DOk7 21.0 3DOk7 20.5 3DOk7 18.8 3DOk7 18.6 3DOk13 14.3 3DOk13 14.4 3DOk13 11.8 3DOk13 11.6 3DOk13 14.2 ; proc npar1way data=clover; TITLE3 'Demonstration of SAS NPAR1WAY'; class treatment; var percent; run; quit;
Below is output from the SAS log (bold) and output from the SAS Output window.
1 ********************************************************; 2 *** Steele & Torrie (1980) Table 7.1 ***; 3 *** Nitrogen content of red clover plants inoculated ***; 4 *** with combination cultures of Rhizobium strains ***; 5 ********************************************************; 6 *** This example was used to demonstrate one-way ***; 7 *** ANOVA and is used again here to compare and ***; 8 *** demonstrate some non-parametric alternatives ***; 9 ********************************************************; 10 11 options ps=256 ls=99 nocenter nodate nonumber; 12 TITLE1 'Examples of some nonparametric analyses'; 13 14 data clover; infile cards missover; 15 TITLE2 'Nitrogen content of red clover (S&T 1980)'; 16 LABEL treatment = 'Rhizobium inoculum'; 17 LABEL percent = 'Percent N content'; 18 input treatment $ 1-6 percent; 19 cards; NOTE: The data set WORK.CLOVER has 25 observations and 2 variables. NOTE: DATA statement used (Total process time): real time 0.01 seconds cpu time 0.01 seconds 19 ! run; 45 ; 46 47 proc npar1way data=clover; 48 TITLE3 'Demonstration of SAS NPAR1WAY'; 49 class treatment; var percent; 50 run; NOTE: There were 25 observations read from the data set WORK.CLOVER. NOTE: The PROCEDURE NPAR1WAY printed pages 1-6. NOTE: PROCEDURE NPAR1WAY used (Total process time): real time 0.03 seconds cpu time 0.03 seconds 51 quit; 52 NOTE: SAS Institute Inc., SAS Campus Drive, Cary, NC USA 27513-2414 NOTE: The SAS System used: real time 0.32 seconds cpu time 0.21 seconds Examples of some nonparametric analyses Nitrogen content of red clover (S&T 1980) Demonstration of SAS NPAR1WAY The NPAR1WAY Procedure Analysis of Variance for Variable percent Classified by Variable treatment treatment N Mean ----------------------------------------- 3DOk1 5 28.820 3DOk4 5 14.640 3DOk5 5 23.980 3DOk7 5 19.920 3DOk13 5 13.260 Source DF Sum of Squares Mean Square F Value Pr > F ------------------------------------------------------------------- Among 4 838.59760 209.64940 15.3776 <.0001 Within 20 272.66800 13.63340 Average scores were used for ties. Wilcoxon Scores (Rank Sums) for Variable percent Classified by Variable treatment Sum of Expected Std Dev Mean treatment N Scores Under H0 Under H0 Score ------------------------------------------------------------------------- 3DOk1 5 106.50 65.0 14.716770 21.30 3DOk4 5 35.50 65.0 14.716770 7.10 3DOk5 5 89.00 65.0 14.716770 17.80 3DOk7 5 71.00 65.0 14.716770 14.20 3DOk13 5 23.00 65.0 14.716770 4.60 Average scores were used for ties. Kruskal-Wallis Test Chi-Square 18.3523 DF 4 Pr > Chi-Square 0.0011 Median Scores (Number of Points Above Median) for Variable percent Classified by Variable treatment Sum of Expected Std Dev Mean treatment N Scores Under H0 Under H0 Score ------------------------------------------------------------------------- 3DOk1 5 4.50 2.40 0.978093 0.90 3DOk4 5 0.50 2.40 0.978093 0.10 3DOk5 5 4.00 2.40 0.978093 0.80 3DOk7 5 3.00 2.40 0.978093 0.60 3DOk13 5 0.00 2.40 0.978093 0.00 Average scores were used for ties. Median One-Way Analysis Chi-Square 13.9652 DF 4 Pr > Chi-Square 0.0074 Van der Waerden Scores (Normal) for Variable percent Classified by Variable treatment Sum of Expected Std Dev Mean treatment N Scores Under H0 Under H0 Score ------------------------------------------------------------------------- 3DOk1 5 5.310985 0.0 1.812483 1.062197 3DOk4 5 -3.638749 0.0 1.812483 -0.727750 3DOk5 5 2.580554 0.0 1.812483 0.516111 3DOk7 5 0.592548 0.0 1.812483 0.118510 3DOk13 5 -4.845337 0.0 1.812483 -0.969067 Average scores were used for ties. Van der Waerden One-Way Analysis Chi-Square 17.5178 DF 4 Pr > Chi-Square 0.0015 Savage Scores (Exponential) for Variable percent Classified by Variable treatment Sum of Expected Std Dev Mean treatment N Scores Under H0 Under H0 Score ------------------------------------------------------------------------- 3DOk1 5 6.434914 0.0 1.878855 1.286983 3DOk4 5 -3.223352 0.0 1.878855 -0.644670 3DOk5 5 1.602038 0.0 1.878855 0.320408 3DOk7 5 -0.827699 0.0 1.878855 -0.165540 3DOk13 5 -3.985901 0.0 1.878855 -0.797180 Average scores were used for ties. Savage One-Way Analysis Chi-Square 16.0760 DF 4 Pr > Chi-Square 0.0029 Kolmogorov-Smirnov Test for Variable percent Classified by Variable treatment EDF at Deviation from Mean treatment N Maximum at Maximum ------------------------------------------------------ 3DOk1 5 0.000 -0.804984 3DOk4 5 0.800 0.983870 3DOk5 5 0.000 -0.804984 3DOk7 5 0.000 -0.804984 3DOk13 5 1.000 1.431084 Total 25 0.360 Maximum Deviation Occurred at Observation 6 Value of percent at Maximum = 17.0 Kolmogorov-Smirnov Statistics (Asymptotic) KS 0.445421 KSa 2.227106 Cramer-von Mises Test for Variable percent Classified by Variable treatment Summed Deviation treatment N from Mean ------------------------------------------- 3DOk1 5 0.675840 3DOk4 5 0.370240 3DOk5 5 0.325440 3DOk7 5 0.216640 3DOk13 5 0.792640 Cramer-von Mises Statistics (Asymptotic) CM 0.095232 CMa 2.380800