Analysis  Using  SAS 

For performing analysis, input the data in the following format. 

{Here we call the feeds as treatments: TRT and yield as YLD. It may, however, be noted that one can retain the same name or can code in any other fashion}.

For ease of understanding, recode the three feeds from 1 to 3 as follows:

 Prepare a SAS data file using

data crd;  /*one can enter any other name for data*/

input trt yld;

cards;

1          850.5

1          453.6

1          878.85

1          623.7

1          510.3

1          765.45

1          680.4

1          595.35

1          538.65

1          850.5

1          850.5

1          793.8

1          1020.6

1          708.75

1          652.05

1          623.7

1          396.9

1          822.15

1          680.4

1          652.05

1          538.65

1          850.5

1          680.4

1          .

1          .

2          510.3

2          963.9

2          652.05

2          1020.6

2          878.85

2          567

2          680.4

2          538.65

2          567

2          510.3

2          425.25

2          567

2          623.7

2          538.65

2          737.1

2          453.6

2          481.95

2          368.55

2          567

2          595.35

2          567

2          595.35

2          .

2          .

2          .

3          992.25

3          850.5

3          1474.2

3          510.3

3          850.5

3          793.8

3          453.6

3          935.55

3          1190.7

3          481.95

3          623.7

3          878.85

3          1077.3

3          850.5

3          680.4

3          737.1

3          737.1

3          708.75

3          708.75

3          652.05

3          567

3          453.6

3          652.05

3          567

3          .

;

*To test the equality of treatment effects, one can perform the analysis of variance using the following statements:;

PROC GLM;

Class trt;

Model yld = trt;

Means  trt;

Means trt/LSD;  /*performs all possible pairwise treatment comparisons using LSD*/

Run;

/*One can obtain means of treatments and all possible pair wise treatment comparisons can be performed using any of the multiple comparison procedures such as least significant difference, Duncan’s New Multiple range test, Tukey's Honest Significant difference test /*