1. Knowing Understanding the Basics Writing your own code SAS Lab

2. Tutorials Parts 1 and 2 review  What are Libraries?  What are they essentially used for?  What is the Editor (& Enhanced Editor) for?  What is the Output window for?  What is the Log for?

3. Explorer/Results  Why do we look in the Explorer window?  Why do we look in the Results window?

4. Practice Step 1  Open SAS and Create a New Dataset called ‘Fitness’  Use this file:  K:\tsupra\MARK 2042\fitness.txt

5. Variables  If we were using Excel, think of these as the column headings  Not static – i.e. weight  You can create new ones based on variables that already exist – i.e. weight2  Assign values to variables  Var = Immigrant  Values: 1=yes0=no

6. Observations  If this were Excel, we would call these ‘rows’  If this were Access, we would call these ‘records’  How many Observations are in the dataset ‘Fitness’?

7. Practice Step 2 – create Fitness dataset copy  Write another dataset with the (same name) ‘Fitness’ to a new library ‘Work’  Data work.fitness;  Open dataset Fitness from sasuser library to get observations.  set sasuser.fitness;  Highlight and Run This  Look in libraries to see that (working copy) datasets are there

8. Create a new variable in an existing dataset  Make a variable ‘weight2’ that converts kilograms (from the weight variable) to pounds at a 2.2046 rate  Comment:  /*convert variable weight from kg to lbs*/  Syntax:  weight2 = 2.2046*weight;  Highlight and run. What happened? Why?

9. The Output Window YYYYou may only view, print or save TTTTo edit: save as.txt file and do the changes in MS Word WWWWorks in conjunction with the Results window

10. Procedures (Descriptive Statistics)  What is PROC FREQ for?  proc freq data = work.fitness; table group; run;

11. Procedures (Descriptive Stats) cont…  What is PROC MEANS for?  proc means data = work.fitness; var age weight2; run;

12. Procedures (Descriptive Stats) cont…  What is PROC CONTENTS for?  proc contents data = work.fitness; run;

13. Practice Step 3 – do it again!  Generate a dataset ‘MyGrade’ with the following specs:  Variables: Age, CourseCode, CurGPA, TargGrd  Assign values to Var TargGrd:  A+=0, A=1, B=2  Create 3 Observations  Put into the sasuser library  Highlight and run this  Check log and libraries to see that you successfully completed the task

14. MyGrade continued…  Create a working copy of MyGrade in the Work Library.  Make a variable ‘newGPA’ that converts your current course grade point average (from the CurGPA variable) to an International level of GPA * at a 1.75 rate  * This is fictional

15. MyGrade continued…  Generate Output (including an HTML file) for the 1.contents of the data. 2.Means of the data based on the variables of _____ and _____. 3.Frequency of the data based on the _____. 4.FILL IN THE BLANKS, highlight and RUN. (what makes most sense?)

16. Knowing Writing your own Code