Example


Example 38.1. Analysis of Variance through PROC LATTICE

In the following example, from Cochran and Cox (1957, p. 406), the data are yields ( Yield ) in bushels per acre of 25 varieties ( Treatmnt ) of soybeans. The data are collected in two replications ( Group ) of 25 varieties in five blocks ( Block ) containing five varieties each. This is an example of a partially balanced square lattice design.

  data Soy;   do Group = 1 to 2;   do Block = 1 to 5;   do Plot = 1 to 5;   input Treatmnt Yield @@;   output;   end;   end;   end;   drop Plot;   datalines;   1   6   2   7   3   5  4   8   5   6   6   16  7   12  8  12  9   13  10  8   11  17  12  7   13  7  14  9   15  14   16 18   17  16  18  13 19  13  20  14   21  14  22  15  23  11 24  14  25  14   1   24  6   13  11  24 16  11  21  8   2   21  7   11  12  14 17  11  22  23   3   16  8   4   13  12 18  12  23  12   4   17  9   10  14  30 19  9   24  23   5   15  10  15  15  22 20  16  25  19   ;   proc print data=Soy;   id Treatmnt;   run;   proc lattice data=Soy;   run;  

The results from these statements are shown in Output 38.1.1 and Output 38.1.2.

Output 38.1.1: Displayed Output from PROC PRINT
start example
  Treatmnt    Group    Block    Yield   1         1        1         6   2         1        1         7   3         1        1         5   4         1        1         8   5         1        1         6   6         1        2        16   7         1        2        12   8         1        2        12   9         1        2        13   10         1        2         8   11         1        3        17   12         1        3         7   13         1        3         7   14         1        3         9   15         1        3        14   16         1        4        18   17         1        4        16   18         1        4        13   19         1        4        13   20         1        4        14   21         1        5        14   22         1        5        15   23         1        5        11   24         1        5        14   25         1        5        14   1         2        1        24   6         2        1        13   11         2        1        24   16         2        1        11   21         2        1         8   2         2        2        21   7         2        2        11   12         2        2        14   17         2        2        11   22         2        2        23   3         2        3        16   8         2        3         4   13         2        3        12   18         2        3        12   23         2        3        12   4         2        4        17   9         2        4        10   14         2        4        30   19         2        4         9   24         2        4        23   5         2        5        15   10         2        5        15   15         2        5        22   20         2        5        16   25         2        5        19  
end example
 
Output 38.1.2: Displayed Output from PROC LATTICE
start example
  The Lattice Procedure   Analysis of Variance for Yield   Sum of        Mean   Source                                   DF     Squares      Square   Replications                              1      212.18      212.18   Blocks within Replications (Adj.)         8      501.84     62.7300   Component B                            8      501.84     62.7300   Treatments (Unadj.)                      24      559.28     23.3033   Intra Block Error                        16      218.48     13.6550   Randomized Complete Block Error          24      720.32     30.0133   Total                                    49     1491.78     30.4445   Additional Statistics for Yield   Description                               Value   Variance of Means in Same Block         15.7915   Variance of Means in Different Bloc     17.9280   Average of Variance                     17.2159   LSD at .01 Level                        12.1189   LSD at .05 Level                         8.7959   Efficiency Relative to RCBD              174.34  
end example
 
  The Lattice Procedure   Adjusted Treatment   Means for Yield   Treatment        Mean   1     19.0681   2     16.9728   3     14.6463   4     14.7687   5     12.8470   6     13.1701   7      9.0748   8      6.7483   9      8.3707   10      8.4489   11     23.5511   12     12.4558   13     12.6293   14     20.7517   15     19.3299   16     12.6224   17     10.5272   18     10.7007   19      7.3231   20     11.4013   21     11.6259   22     18.5306   23     12.2041   24     17.3265   25     15.4048  

The efficiency of the experiment relative to a randomized complete block design is 174.34 percent. Precision is gained using the lattice design via the recovery of intrablock error information, enabling more accurate estimates of the treatment effects. Variety 8 of soybean had the lowest adjusted treatment mean (6.7483 bushels per acre), while variety 11 of soybean had the highest adjusted treatment mean (23.5511 bushels per acre).




SAS.STAT 9.1 Users Guide (Vol. 3)
SAS/STAT 9.1, Users Guide, Volume 3 (volume 3 ONLY)
ISBN: B0042UQTBS
EAN: N/A
Year: 2004
Pages: 105

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