SAS -Part II ShortCourse Exercises Data
Example: Using arithmetic operations
data roster;
height =(12*feet) + inches;
Input First $ Last $ Feet Inches;
datalines;
Tim Smith
6
2
Alice Young
5
4
;
run;
proc print data=roster;
run;
Exercise#1: Creating a SAS data set “One”
data one;
input x1-x4;
datalines;
1
2
3
4
13.75 .
5
7
0.5
.
.
8
;
run;
proc print data=one;
run;
Exercise#2: Using the data set “One” and the SUM Function For a single observation
across variables, we can write the following programs:
data sums;
set one;
total1 = x1 + x2 + x3 + x4;
total2 = sum(of x1-x4);
total3 = sum(x1, x2, x3, x4);
run;
proc print data=sums;
run;
Exercise#3: Creating a new data set from an existing data set created in exercise #1
data means;
set one;
mean1 = (x1+x2+x3+x4)/4;
mean2 = mean(of x1-x4);
mean3 = mean(x1, x2, x3, x4);
run;
proc print data = means;
run;
Heide Mansouri
Technology Support
Texas Tech University
SAS-II ShortCourse Exercises
2/7/16
Page 1
data
shirts;
medium
large
large
medium
small
medium
small
large
large
medium
medium
medium
small
data
large
large
medium
small
medium
large
medium
large
small
medium
medium
large
small
Fitness;
44 89.47 44.609 11.37
40 75.07 45.313 10.07
44 85.84 54.297
42 68.15 59.571
38 89.02 49.874
8.65
.
8.17
47 77.45 44.811 11.63
40 75.98 45.681 11.95
43 81.19 49.091 10.85
44 81.42 39.442 13.08
38 81.87 60.055
44 73.03 50.541 10.13
45 87.66 37.388 14.03
45 66.45 44.754 11.12
47 79.15 47.273 10.60
54 83.12 51.855 10.33
49 81.42 49.156
51 69.63 40.836 10.95
51 77.91 46.672 10.00
48 91.63 46.774 10.25
49 73.37
57 73.37 39.407 12.63
54 79.38 46.080 11.17
52 76.32 45.441
50 70.87 54.625
9.63
.
8.63
8.95
10.08
8.92
51 67.25 45.118 11.08
54 91.63 39.203 12.88
51 73.71 45.790 10.47
57 59.08 50.545
49 76.32
48 61.24 47.920 11.50
.
.
9.93
52 82.78 47.467 10.50
Heide Mansouri
Technology Support
Texas Tech University
SAS-II ShortCourse Exercises
2/7/16
Page 2
data pressure;
120 128
124 131
140 132
128 125
126 118
130 132
Heide Mansouri
Technology Support
Texas Tech University
130 131
140 141
126 129
118 127
135 137
127 135
SAS-II ShortCourse Exercises
2/7/16
Page 3
SAS -Part II ShortCourse Exercises
On your own and from what you have learned work on the following exercise:
Exercise #1: Students from two fourth-grade classes are selling candy to earn money for a
special field trip. The class earning more money gets a free box of candy. The following are the
data for the results of the candy sale. The student’s names, followed by their classroom number,
the type of candy (mint patties or chocolate dinosaurs), and the number of boxes sold. The class
earns $ 1.25 for each box of candy sold. The data is given in the following table:
Name
Nathan
Matthew
Claire
Chris
Stephen
Adriana
Caitlin
Ian
Anthony
Erika
class
14
14
14
14
14
21
21
21
21
21
Candy Type
CD
CD
CD
CD
CD
MP
CD
MP
MP
MP
Quantity
19
14
11
6
10
7
9
18
13
17
The teachers want a report giving the money earned for each classroom, the money earned by
each student, and the type of candy sold.
1. Write a SAS program that reads the data, computes money earned (Profit), and sorts the
data by classroom using Proc Sort.
2. Then, use the Proc Print step and a By statement to print the data by Class and a Sum
statement to give the Totals for Profit.
3. Title the output “Candy Sales for Field Trip by Class”.
Heide Mansouri
Technology Support
Texas Tech University
SAS-II ShortCourse Exercises
2/7/16
Page 4
Exercise #2:
Following data table is given, where:
SYSTOLIC BLOOD PRESSURE SBP
= AGE
= 100(WEIGHT/HEIGHTSQ)
= 1, if SMOKER
= 0, if NONSMOKER
Y=
X1
X2
X3
sex
Y
X1
X2
X3
z
f
135
45
2.876
0
0
f
122
41
3.251
0
0
m
130
49
3.1
0
0
f
148
52
3.768
0
0
m
146
54
2.979
1
54
m
129
47
2.79
1
47
m
162
60
3.668
1
60
f
160
48
3.612
1
48
m
144
44
2.368
1
44
m
180
64
4.637
1
64
f
166
59
3.877
1
59
f
138
51
4.032
1
51
f
152
64
4.116
0
0
m
138
56
3.673
0
0
f
140
54
3.562
1
54
f
134
50
2.998
1
50
m
145
49
3.36
1
49
m
142
46
3.024
1
46
f
135
57
3.171
0
0
f
142
56
3.401
0
0
f
150
56
3.628
1
56
f
144
58
3.751
0
0
m
137
53
3.296
0
0
m
132
50
3.21
0
0

Write a SAS program to create a data set called SBP.

Use the SAS Explorer to look in the Work Library for the temporary SAS data set named
Work.SBP

Add a PROC step to obtain a listing of the data set.

SORT the this data set BY Sex

Create a Summary Statistics for variables using the PROC MEANS, and variables Y, X1, and X2
for each Sex, using the CLASS statement.

Title the output, “Summary Statistics for SBP data set”.
Heide Mansouri
Technology Support
Texas Tech University
SAS-II ShortCourse Exercises
2/7/16
Page 5
* Answer to SAS-II Exercise #1;
data CandySale;
input Name $ class CandyType Quantity;
Profit = Quantity*1.25;
datalines;
Adriana
21
MP
7
Nathan
14
CD
19
Matthew
14
CD
14
Claire
14
CD
11
Caitlin
21
CD
9
Ian
21
MP
18
Chris
14
CD
6
Anthony
21
MP
13
Stephen
14
CD
10
Erika
21
MP
17
run;
proc sort data = CandySale;
by class;
run;
proc print data = CandySale;
by class;
Sum profit;
var name candytype profit;
title " Candy Sales for Field Trip by Class ";
run;
* Answer to SAS-II Exercise #2:
copy/paste the data as plain TEXT to an Excel file, IMPORT to SAS,
and then use the following program ;
data SBP;
Set SBP;
Z=X1*X3;
run;
proc print data=SBP;
run;
Proc Sort data=SBP Out=sorted_SBP;
by Sex;
run;
proc means data=sorted_SBP;
var Y X1 X2;
class sex;
title 'Summary Stats';
run;
Heide Mansouri
Technology Support
Texas Tech University
SAS-II ShortCourse Exercises
2/7/16
Page 6