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GENERAL GUIDELINES:
Windows in SAS
File management
The SAS Program
Program syntax
Debugging tips
USING SAS PROGRAMMING TO:
1. Prepare the data set
Types of data
Example programs
2. View the data
SAS Procedures
3. Explore the data
Numeric statistics
Frequency tables
4. Manipulate the data
Basic techniques
New variables
5. Adding Variables and
Observations to Data Sets
The SET Statement
The MERGE Statement
6. Data Processing
ARRAY Statement
Do Loops
By-Group Processing
RETAIN Statement
NON-PROGRAMMING
Alternatives
SAMPLE DATA SETS:
Height/weight
Height/weight/region
Simulated clinical data
Simulated Manitoba Health
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Sample Data Sets: Height/Weight - log
241
242 ************************************
243 * f=htwt_cr.sas *
244 * *
245 * This program creates a temporary *
246 * SAS data set using raw values *
247 * entered for 18 observations. *
248 ************************************;
249
250 data htwt; /* Begin the DATA step */
251 /* Describe variable names and locations */
252 input name $ 1-10 sex $ 12 age 14-15
253 height 17-18 weight 20-22;
254 /* Read the following lines of raw data */
255 cards;
NOTE: The data set WORK.HTWT has 18 observations and 5
variables.
NOTE: DATA statement used:
real time 0.04 seconds
274 ; /* End the lines of raw data */
275 run; /* End the DATA step */
276
277 /* Obtain info on the data set */
278 proc contents data=htwt; /* Begin a PROC step */
279 run;
NOTE: PROCEDURE CONTENTS used:
real time 0.16 seconds
279! /* End the PROC step */
280
281 /* View the values of the 1st 10 observations */
282 proc print data=htwt(obs=10); /* Begin a PROC step */
283 run;
NOTE: PROCEDURE PRINT used:
real time 0.04 seconds
283! /* End the PROC step */
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Contact: Charles Burchill
Telephone: (204) 789-3429
Manitoba Centre
for Health Policy
Department of Community Health Sciences,
University of Manitoba
4th floor Brodie Centre
408 - 727 McDermot Avenue
Winnipeg, Manitoba
R3E 3P5
Fax: (204) 789-3910
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