HNFAS/TPSS 603
PC SAS Laboratory
Exercise 1: Getting Acquainted with PC SAS for Windows
Objectives:
1.
2.
3.
Learn the basic commands for PC SAS for Windows.
Learn to develop or use a data set in PC SAS.
Use PC SAS Analyst to do an ANOVA on a simple RCBD problem.
Procedures:
Select START , select PROGRAMS and then select SAS from the programs listed on the menu to the right and double click the mouse button, or click on Statistical & Spreadsheet and then select SAS System . Wait for awhile before pressing any other keys as it takes several seconds for the program to be loaded as it is very large.
Three windows will appear on the screen. The top window is the LOG that displays SAS messages about the program that was run. The bottom window is the PROGRAM EDITOR which is where you enter SAS statements to be executed. The window on the left will toggle between Results and Explorer to monitor working files.
The results from the SAS procedures are displayed in the OUTPUT WINDOW . To display the OUTPUT WINDOW, select WINDOW from the menu bar (click on it) and a list of the five windows will be displayed. Select OUTPUT and click. The other windows can be selected as desired. The windows can also be selected by clicking on the icons in the menu bar at the bottom of the window.
Data for the nitrogen experiment:
Rep N Yield
1 0 0.75
1
1
1
50
100
150
4.75
10.18
10.09
2
2
2
1
2
2
200
0
50
100
150
200
11.92
0.42
6.75
9.05
11.42
11.32

3
3
3
3
3
0
50
100
150
200
0.94
5.14
7.48
10.21
11.21
To enter the data for the nitrogen experiment and analyze it, proceed with the following steps.
1. Select File: Import Data
2. Select Solutions: Analysis: Analyst
3. Select File: Open by SAS Name: Work: SASEx1
4. To correct any errors in the data
Select Edit: Mode: Edit
Any corrections can now be typed into the data table.
5. Select Statistics: ANOVA: Linear Models
A Linear Models: SASEx1 window will open (referred to as the SASEx1 window).
The variables in this experiment appear in a box on the left
Select Yield, then Dependent
Select Rep and N, then Class
6. Select Means
Select Breakdown from top bar
Select Mean, Std. Dev., Std. Error, Minimum, and Maximum
Select For Main Effects Only
Select Comparisons from top bar
Comparison Method: Waller-Duncan k-ratio t-test
Select N and Add
Select OK to return to SASEx1 window.

7. Select Titles
Type in your name and SAS Exercise 1
Select OK to return to SASEx1 window.
8. Select Plots
Select Means
Plot dependent means for main effects
Observed means
1 se
Select Residual
Plot residuals vs variables
Ordinary
Independents
Select OK to return to SASEx1 window
9. Select Statistics
Select Type I
Select OK to return to the SASEx1 window
10. Select OK to run the analysis
Analysis window will pop up with your results
Select File: Print: Entire Document: Print
Close Analysis window
11. Select from the tree on the left Means Breakdown
Select File: Print: Entire Document: Print
Close Means Breakdown window
12. Repeat for the Means Plots, Residual Plots, and Code. Printing these is not required.
13. Repeat the analysis with a new model. In the SASEx1 window:
Select N: Remove
Select N: Quantitative
Rerun the analysis. How do the results change? (Hint: check the degrees of freedom.)
14. Make sure your data table is in Edit mode. If needed, from the top bar select Edit: Mode: Edit
15. While in the data table, create a new variable N2

Select Data: Transform: Compute
Change Comp1 to N2
Double click N * N to create a formula in the box
Select OK
Use the same process to create N3 and N4
16. Rerun the analysis with Reps as a Class Variable and N, N2, N3 and N4 as Quantitative. The
Type I SS for N, N2, N3 and N4 will give you the SS linear, quadratic, cubic and quartic.
Compare this analysis with the previous analyses. Which analysis is the most appropriate for this experiment?
17. This exercise does not need to be handed in.