/*-------------------------------------------------------------------*/
 /*        A Step-by-Step Approach to Using the SAS System for        */
 /*             Univariate and Multivariate Statistics                */
 /*                by  Larry Hatcher and Edward Stepanski             */
 /*       Copyright(c) 1994 by SAS Institute Inc., Cary, NC, USA      */
 /*                   SAS Publications order #55072                   */
 /*                        ISBN 1-55544-634-5                         */
 /*-------------------------------------------------------------------*/
 /*                                                                   */
 /* This material is provided "as is" by SAS Institute Inc.  There    */
 /* are no warranties, expressed or implied, as to merchantability or */
 /* fitness for a particular purpose regarding the materials or code  */
 /* contained herein. The Institute is not responsible for errors     */
 /* in this material as it now exists or will exist, nor does the     */
 /* Institute provide technical support for it.                       */
 /*                                                                   */
 /*-------------------------------------------------------------------*/
 /* Questions or problem reports concerning this material may be      */
 /* addressed to the author:                                          */
 /*                                                                   */
 /* SAS Institute Inc.                                                */
 /* Books by Users                                                    */
 /* Attn: Larry Hatcher amd Edward Stepanski                          */
 /* SAS Campus Drive                                                  */
 /* Cary, NC   27513                                                  */
 /*                                                                   */
 /*                                                                   */
 /* If you prefer, you can send email to:  sasbbu@sas.com             */
 /* Use this for subject field:                                       */
 /* Comments for Larry Hatcher amd Edward Stepanski                   */
 /*                                                                   */
 /*-------------------------------------------------------------------*/

--------------------------
CHAPTER 2
--------------------------

/* The following program is found on p. 23 of       */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics       */


DATA D1;
INPUT SUBJECT SATV SATM;
CARDS;
1 520 490
2 610 590
3 470 450
4 410 450
5 510 460
6 580 350
;
PROC MEANS DATA=D1;
   VAR SATV SATM;
   RUN;



-----------------------------
CHAPTER 3
-----------------------------


/* The following program is found on p. 38 of       */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics       */

DATA D1;
   INPUT   #1   @1   (V1)      (1.)
                @2   (V2)      (1.)
                @3   (V3)      (1.)
                @4   (V4)      (1.)
                @5   (V5)      (1.)
                @6   (V6)      (1.)
                @7   (V7)      (1.)
                @9   (AGE)     (2.)
                @12  (IQ)      (3.)
                @16  (NUMBER)  (2.)  ;
CARDS;
2234243 22  98  1
3424325 20 105  2
3242424 32  90  3
3242323  9 119  4
3232143  8 101  5
3242242 24 104  6
4343525 16 110  7
3232324 12  95  8
1322424 41  85  9
5433224 19 107 10
;

PROC MEANS   DATA=D1;
   RUN;


/* The following data set is found on p. 57 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */
/* It is used with the program on p. 86.            */


2234243 22  98  1 M
3424325 20 105  2 M
3242424 32  90  3 F
3242323  9 119  4 F
3232143  8 101  5 F
3242242 24 104  6 M
4343525 16 110  7 F
3232324 12  95  8 M
1322424 41  85  9 M
5433224 19 107 10 F



-----------------------------
CHAPTER 4
-----------------------------


/* The following program is found on p. 86  of         */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */



DATA D1;
   INFILE 'VOLUNTEER.DAT' ;
   INPUT   #1   @1   (V1-V7)   (1.)
                @9   (AGE)     (2.)
                @12  (IQ)      (3.)
                @16  (NUMBER)  (2.)
                @19  (SEX)     ($1.)
           #2   @1   (SATV)    (3.)
                @5   (SATM)    (3.)  ;
   DATA D2;
      SET D1;

   V3 = 6 - V3;
   V6 = 6 - V6;
   RESPONS = (V1 + V2 + V3) / 3;
   TRUST   = (V4 + V5 + V6) / 3;
   SHOULD = V7;

PROC MEANS   DATA=D2;
   RUN;

DATA D3;
   SET D2;
   IF SEX = 'F';

PROC MEANS   DATA=D3;
   RUN;

DATA D4;
   SET D2;
   IF SEX = 'M';

PROC MEANS   DATA=D4;
      RUN;



/* The following program is found on p. 90  of         */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */


DATA  A;
   INPUT  #1   @1  (NAME)  ($7.)
               @10 (SATV)  (3.)
               @14 (SATM)  (3.)  ;
CARDS;
John     520 500
Sally    610 640
Fred     490 470
Emma     550 560
;

DATA  B;
   INPUT  #1   @1  (NAME)  ($7.)
               @11 (SATV)  (3.)
               @15 (SATM)  (3.)  ;
CARDS;
Susan     710 650
James     450 400
Cheri     570 600
Will      680 700
;

DATA  C;
   SET  A  B;

PROC PRINT  DATA=C
   RUN;


/* The following program is found on p. 94  of         */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */


DATA  D;
   INPUT  #1   @1  (NAME)   ($7.)
               @9  (SOCSEC) (9.)
               @19 (SATV)   (3.)
               @23 (SATM)   (3.)  ;
CARDS;
John     232882121 520 500
Sally    222773454 610 640
Fred     211447653 490 470
Emma     222671234 550 560
;


DATA  E;
   INPUT  #1  @1   (NAME)   ($7.)
              @9   (SOCSEC) (9.)
              @19  (GPA)    (4.)  ;
CARDS;
John     232882121 2.70
Sally    222773454 3.25
Fred     211447653 2.20
Emma     222671234 2.50
;

PROC SORT  DATA=D;
   BY  SOCSEC;
   RUN;

PROC SORT  DATA=E;
   BY  SOCSEC;
   RUN;

DATA  F;
   MERGE  D  E;
   BY  SOCSEC;
   RUN;

PROC PRINT  DATA=F;
   RUN;


-----------------------------
CHAPTER 5
-----------------------------


/* The following program is found on p. 100 of         */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */


DATA D1;
   INPUT   #1   @1   (RESNEEDY)   (1.)
                @3   (SEX)        ($1.)
                @5   (CLASS)      (1.)   ;
CARDS;
5 F 1
4 M 1
5 F 1
  F 1
4 F 1
4 F 2
1 F 2
4 F 2
1 F 3
5 M
4 F 4
4 M 4
3 F
4 F 5
;
PROC MEANS   DATA=D1;
   VAR RESNEEDY CLASS;
   RUN;
PROC FREQ   DATA=D1;
   TABLES SEX CLASS RESNEEDY;
   RUN;
PROC PRINT   DATA=D1;
   VAR RESNEEDY SEX CLASS;



/* The following program is found on p. 115 of         */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */


DATA D1;
   INPUT   #1   @1   (SUBJECT)   (2.)
                @4   (AGE)       (2.)   ;
CARDS;
 1 72
 2 69
 3 75
 4 71
 5 71
 6 73
 7 70
 8 67
 9 71
10 72
11 73
12 68
13 69
14 70
15 70
16 71
17 74
18 72
;
PROC UNIVARIATE   DATA=D1   NORMAL   PLOT;
   VAR AGE;
   ID SUBJECT;
   RUN;


-----------------------------
CHAPTER 6
-----------------------------


/* The following program is found on p. 142 of         */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */


DATA D1;
   INPUT   #1   @1   (COMMIT)   (2.)
                @4   (SATIS)    (2.)
                @7   (INVEST)   (2.)
                @10  (ALTERN)   (2.)   ;
CARDS;
20 20 28 21
10 12  5 31
30 33 24 11
 8 10 15 36
22 18 33 16
31 29 33 12
 6 10 12 29
11 12  6 30
25 23 34 12
10  7 14 32
31 36 25  5
 5  4 18 30
31 28 23  6
 4  6 14 29
36 33 29  6
22 21 14 17
15 17 10 25
19 16 16 22
12 14 18 27
24 21 33 16
;
PROC PLOT   DATA=D1;
   PLOT COMMIT*SATIS;
   RUN;



/* The following program is found on p. 154 of         */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */


DATA D1;
   INPUT   #1   @1   (TEST1)   (2.)
                @4   (TEST2)   (2.)  ;
CARDS;
 1  2
 2  3
 3  1
 4  5
 5  4
 6  6
 7  7
 8  9
 9 10
10  8
;
PROC CORR   DATA=D1   SPEARMAN;
   VAR TEST1 TEST2
   RUN;


/* The following program is found on p. 163 of         */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */


 1     DATA D1;
 2        INPUT   PREF     $
 3                SCHOOL   $
 4                NUMBER   ;
 5
 6     CARDS;
 7     IBM   ARTS    30
 8     IBM   BUS    100
 9     IBM   ED      20
10     MAC   ARTS    60
11     MAC   BUS     40
12     MAC   ED     120
13     ;
14     PROC FREQ   DATA=D1;
15        TABLES   PREF*SCHOOL   /   ALL;
16        WEIGHT   NUMBER;
17        RUN;


-----------------------------
CHAPTER 7
-----------------------------


/* The following program is found on p. 181 of         */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */


DATA D1;
   INPUT  #1  @1  (REWGRP)  (1.)
              @3  (COMMIT)  (2.)  ;
CARDS;
0 12
0 10
0 15
0 13
0 16
0  9
0 13
0 14
0 15
0 13
1 25
1 22
1 27
1 24
1 22
1 20
1 24
1 23
1 22
1 24
;

PROC TTEST   DATA=D1;
   CLASS REWGRP;
   VAR COMMIT;
   RUN;

/* The following program is found on p. 188 of         */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */


DATA D1;
   INPUT  #1  @1  (REWGRP)  (1.)
              @3  (COMMIT)  (2.)  ;
CARDS;
0 23
0 22
0 25
0 19
0 24
0 20
0 22
0 22
0 23
0 27
1 25
1 22
1 27
1 24
1 22
1 20
1 24
1 23
1 22
1 24
;

PROC TTEST   DATA=D1;
   CLASS REWGRP;
   VAR COMMIT;
   RUN;


/* The following program is found on p. 203 of         */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */


DATA D1;
   INPUT   #1   @1   (LOW)   (2.)
                @4   (HIGH)  (2.)   ;
DIFF = HIGH - LOW;
CARDS;
 9 20
 9 22
10 23
11 23
12 24
12 25
14 26
15 28
17 29
19 31
;
PROC MEANS;
   VAR LOW HIGH;
   RUN;

PROC MEANS   N MEAN STDERR T PRT;
   VAR DIFF;
   RUN;


/* The following program is found on p. 207 of         */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */

DATA D1;
   INPUT   #1   @1   (PRE)   (2.)
                @4   (POST)  (2.)   ;
DIFF = POST - PRE;
CARDS;
34 55
35 49
39 59
41 63
43 62
44 68
44 69
52 72
55 75
57 78
;
PROC MEANS;
   VAR PRE POST;
   RUN;

PROC MEANS   N MEAN STDERR T PRT;
   VAR DIFF;
   RUN;

-----------------------------
CHAPTER 8
-----------------------------


/* The following program is found on p. 218 of         */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */


DATA D1;
   INPUT  #1  @1  (REWGRP)  (1.)
              @3  (COMMIT)  (2.)  ;
CARDS;
1 13
1 06
1 12
1 04
1 09
1 08
2 33
2 29
2 35
2 34
2 28
2 27
3 36
3 32
3 31
3 32
3 35
3 34
;

PROC GLM DATA=D1;
   CLASS REWGRP;
   MODEL COMMIT = REWGRP;
   MEANS REWGRP / TUKEY;
   MEANS REWGRP;
   RUN;


/* The following data set is found on p. 230 of        */
/* A Step-by-Step Approach to Using the SAS System for */
/* Univariate and Multivariate Statistics.             */


CARDS;
1 15
1 17
1 10
1 19
1 16
1 18
2 14
2 17
2 16
2 18
2 11
2 12
3 17
3 20
3 14
3 16
3 16
3 17
;


---------------------------------------------
CHAPTER 9
---------------------------------------------


/* The following program is found on p. 255 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */

DATA D1;
   INPUT  #1  @1  (COSTGRP)  (1.)
              @3  (REWGRP)   (1.)
              @5  (COMMIT)   (2.)  ;
CARDS;
1 1 08
1 1 13
1 1 07
1 1 14
1 1 07
1 2 19
1 2 17
1 2 20
1 2 25
1 2 16
1 3 31
1 3 24
1 3 37
1 3 30
1 3 32
2 1 09
2 1 14
2 1 05
2 1 14
2 1 16
2 2 22
2 2 18
2 2 20
2 2 19
2 2 21
2 3 24
2 3 33
2 3 24
2 3 26
2 3 31
;

PROC GLM DATA=D1;
   CLASS REWGRP COSTGRP;
   MODEL COMMIT = REWGRP COSTGRP REWGRP*COSTGRP;
   MEANS REWGRP COSTGRP / TUKEY;
   MEANS REWGRP COSTGRP REWGRP*COSTGRP;
   RUN;

/* The following data set is found on p. 264 of     */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */


CARDS;
1 1 08
1 1 13
1 1 04
1 1 11
1 1 05
1 2 17
1 2 12
1 2 20
1 2 14
1 2 16
1 3 31
1 3 24
1 3 37
1 3 30
1 3 32
2 1 16
2 1 10
2 1 25
2 1 15
2 1 14
2 2 21
2 2 13
2 2 16
2 2 12
2 2 17
2 3 18
2 3 23
2 3 19
2 3 18
2 3 18
;

/* The following data set is found on p. 272 of     */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */


PROC GLM DATA=D1;
   CLASS REWGRP COSTGRP;
   MODEL COMMIT = REWGRP COSTGRP REWGRP*COSTGRP;
   MEANS REWGRP COSTGRP / TUKEY;
   MEANS REWGRP COSTGRP REWGRP*COSTGRP;
   RUN;

PROC SORT DATA=D1;
   BY COSTGRP;
   RUN;

PROC GLM DATA=D1;
   CLASS REWGRP;
   MODEL COMMIT = REWGRP;
   MEANS REWGRP / TUKEY;
   MEANS REWGRP;
   BY COSTGRP;
   RUN;


---------------------------------------------
CHAPTER 10
---------------------------------------------


/* The following program is found on p. 290 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */

DATA D1;
   INPUT  #1  @1  (REWGRP)  (1.)
              @3  (COMMIT)  (2.)
              @6  (SATIS)   (2.)
              @9  (STAY)    (2.) ;
CARDS;
1 13 10 14
1 06 10 08
1 12 12 15
1 04 10 13
1 09 05 07
1 08 05 12
2 33 30 36
2 29 25 29
2 35 30 30
2 34 28 26
2 28 30 26
2 27 26 25
3 36 30 28
3 32 32 29
3 31 31 27
3 32 36 36
3 35 30 33
3 34 30 32
;
PROC GLM DATA=D1;
   CLASS REWGRP;
   MODEL COMMIT SATIS STAY = REWGRP;
   MEANS REWGRP / TUKEY;
   MEANS REWGRP;
   MANOVA H = REWGRP;
   RUN;


/* The following data set is found on p. 300 of     */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */

CARDS;
1 16 19 18
1 18 15 17
1 18 14 14
1 16 20 10
1 15 13 17
1 12 15 11
2 16 20 13
2 18 14 16
2 13 10 14
2 17 13 19
2 14 18 15
2 19 16 18
3 20 18 16
3 18 15 19
3 13 14 17
3 12 16 15
3 16 17 18
3 14 19 15
;


---------------------------------------------
CHAPTER 11
---------------------------------------------


/* The following program is found on p. 312 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */

DATA REP;
   INPUT #1 @1  (ID)    (2.)
            @5  (PRE)   (2.)
            @10 (POST)  (2.)
            @15 (FOLUP) (2.);
CARDS;
01  08  10  10
02  10  13  12
03  07  10  12
04  06  09  10
05  07  08  09
06  11  15  14
07  08  10  09
08  05  08  08
09  12  11  12
10  09  12  12
11  10  14  13
12  07  12  11
13  08  08  09
14  13  14  14
15  11  11  12
16  07  08  07
17  09  08  10
18  08  13  14
19  10  12  12
20  06  09  10
;


/* The following program is found on p. 316 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */

PROC MEANS  DATA=REP;
   RUN;

PROC GLM  DATA=REP;
   MODEL PRE POST FOLUP =  / NOUNI;
   REPEATED TIME 3 CONTRAST (1) / SUMMARY;
   RUN;


---------------------------------------------
CHAPTER 12
---------------------------------------------


/* The following program is found on p. 345 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */

DATA MIXED;
INPUT #1 @1  (SUBJ)  (2.)
         @5  (GROUP) (1.)
         @10 (PRE)   (2.)
         @15 (POST)  (2.)
         @20 (FOLUP) (2.);
CARDS;
01  1    08   10   10
02  1    10   13   12
03  1    07   10   12
04  1    06   09   10
05  1    07   08   09
06  1    11   15   14
07  1    08   10   09
08  1    05   08   08
09  1    12   11   12
10  1    09   12   12
11  2    10   14   13
12  2    07   12   11
13  2    08   08   09
14  2    13   14   14
15  2    11   11   12
16  2    07   08   07
17  2    09   08   10
18  2    08   13   14
19  2    10   12   12
20  2    06   09   10
;


/* The following program is found on p. 350 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */


PROC GLM  DATA=MIXED;
   CLASS GROUP;
   MODEL PRE POST FOLUP = GROUP / NOUNI;
   REPEATED TIME 3 CONTRAST (1) / SUMMARY;
   RUN;


/* The following program is found on p. 364 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */


DATA CONTROL;
   SET MIXED;
   IF GROUP=1 THEN OUTPUT;
   RUN;

DATA EXP;
   SET MIXED;
   IF GROUP=2 THEN OUTPUT;
   RUN;

PROC GLM  DATA=CONTROL;
   MODEL PRE POST FOLUP =  / NOUNI;
   REPEATED TIME 3 CONTRAST (1) / SUMMARY;
   RUN;

PROC GLM  DATA=EXP;
   MODEL PRE POST FOLUP =  / NOUNI;
   REPEATED TIME 3 CONTRAST (1) / SUMMARY;
   RUN;


/* The following program is found on p. 369 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */

PROC GLM DATA=MIXED;
   CLASS GROUP;
   MODEL PRE = GROUP ;
   RUN;

PROC GLM DATA=MIXED;
   CLASS GROUP;
   MODEL POST = GROUP ;
   RUN;

PROC GLM DATA=MIXED;
   CLASS GROUP;
   MODEL FOLUP = GROUP ;
   RUN;


/* The following program is found on p. 375 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */


DATA MIXED1;
   SET MIXED;
   TIME='PRE';
   INVEST=PRE;
   OUTPUT;
   TIME='POST';
   INVEST=POST;
   OUTPUT;
   TIME='FOLUP';
   INVEST=FOLUP;
   OUTPUT;
   RUN;


/* The following program is found on p. 376 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */

PROC GLM DATA=MIXED1;
   CLASSES SUBJ GROUP TIME;
   MODEL INVEST = GROUP SUBJ(GROUP) TIME GROUP*TIME
   TIME*SUBJ(GROUP);
   TEST H=GROUP    E=SUBJ(GROUP)
   TEST H=TIME GROUP*TIME    E=TIME*SUBJ(GROUP);
   MEANS TIME / TUKEY;
   RUN;


---------------------------------------------
CHAPTER 13
---------------------------------------------

/* The following program is found on p. 423 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */
/* The full data set is included here, as well as   */
/* at the end of this file (in material for         */
/* Appendix B: "Data Sets").                        */

DATA D1;
   INPUT   #1    @1   (COMMIT)   (2.)
                 @4   (SATIS)    (2.)
                 @7   (REWARD)   (2.)
                 @10  (COST)     (2.)
                 @13  (INVEST)   (2.)
                 @16  (ALTERN)   (2.)   ;

   IF REWARD NE . AND COST   NE . AND INVEST NE . AND
      ALTERN NE . AND COMMIT NE . ;
CARDS;
34 30 25 13 25 12
32 27 27 14 32 13
34 23 24 21 30 14
26 26 22 18 27 19
 4 17 25 10 11 34
31 26 30 22 31 13
22 29 31 18 27 14
32 29 27  9 31  8
33 36 31 14 28 13
36 32 26 14 19 12
19 24 22 23 23  4
36 35 31 14 34  4
30 30 30 20 30 23
35 21 22 20 24 19
36 27 33  7 31  4
35 31 30 20 29  8
 4 20 20 22 14 28
36 35 29 14 34  8
36 32 28 14 28 15
19 18 17 25 18 20
20 30 26 20 23 28
36 34 31 21 32 18
29 27 24 19 19 13
 9 36 30  5 18 24
28 24 27 15 22 20
10 26 24 24 27 27
34 31 29  9 29 17
 7 12 16 26 20 33
35 36 33 13 27 16
36 33 30  5 29 13
 6 19 27 21 24 26
35  . 30 18 24 21
35 34 32 18 28 16
24 24 23 17 17 20
36 24 31 14 30 20
28 24 19 24 24 17
33 33 28 16 19 11
 5 12  9 15 11 32
21 24 20 24 22 14
16  9 12 30  . 15
36 34 32  6 20  9
29 27 27 20 30 21
 .  7 12 23 13 26
34 34 32 20 31 13
35 27 23 21 31 18
25 26 29  7 23 18
36 25 25 16 29 11
36 32 28 13 15  5
32 29 30 21 32 22
30 32 33 16 34  9
;

PROC CORR   DATA=D1;
   VAR  COMMIT  REWARD  COST  INVEST  ALTERN;
   RUN;


---------------------------------------------
CHAPTER 14
---------------------------------------------

/* The following program is found on p. 465 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */
/* The full data set is included here, as well as   */
/* at the end of this file (in material for         */
/* Appendix B: "Data Sets").                        */

DATA D1;
   INPUT    #1    @1   (V1-V6)    (1.)  ;
CARDS;
556754
567343
777222
665243
666665
353324
767153
666656
334333
567232
445332
555232
546264
436663
265454
757774
635171
667777
657375
545554
557231
666222
656111
464555
465771
142441
675334
665131
666443
244342
464452
654665
775221
657333
666664
545333
353434
666676
667461
544444
666443
676556
676444
676222
545111
777443
566443
767151
455323
455544
;
PROC FACTOR   DATA=D1
              SIMPLE
              METHOD=PRIN
              PRIORS=ONE
              MINEIGEN=1
              SCREE
              ROTATE=VARIMAX
              ROUND
              FLAG=.40   ;
   VAR V1 V2 V3 V4 V5 V6;
   RUN;


/* The following program is found on p. 491 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */

DATA D1(TYPE=CORR) ;
   INPUT   _TYPE_   $
           _NAME_   $
           V1-V12   ;
CARDS;
N     .    300  300  300  300  300  300  300  300  300  300  300  300
STD   .   2.48 2.39 2.58 3.12 2.80 3.14 2.92 2.50 2.10 2.14 1.83 2.26
CORR V1   1.00  .    .    .    .    .    .    .    .    .    .    .
CORR V2    .69 1.00  .    .    .    .    .    .    .    .    .    .
CORR V3    .60  .79 1.00  .    .    .    .    .    .    .    .    .
CORR V4    .62  .47  .48 1.00  .    .    .    .    .    .    .    .
CORR V5    .03  .04  .16  .09 1.00  .    .    .    .    .    .    .
CORR V6    .05 -.04  .08  .05  .91 1.00  .    .    .    .    .    .
CORR V7    .14  .05  .06  .12  .82  .89 1.00  .    .    .    .    .
CORR V8    .23  .13  .16  .21  .70  .72  .82 1.00  .    .    .    .
CORR V9   -.17 -.07 -.04 -.05 -.33 -.26 -.38 -.45 1.00  .    .    .
CORR V10  -.10 -.08  .07  .15 -.16 -.20 -.27 -.34  .45 1.00  .    .
CORR V11  -.24 -.19 -.26 -.28 -.43 -.37 -.53 -.57  .60  .22 1.00  .
CORR V12  -.11 -.07  .07  .08 -.10 -.13 -.23 -.31  .44  .60  .26 1.00
;
PROC FACTOR   DATA=D1
              METHOD=PRIN
              PRIORS=ONE
              MINEIGEN=1
              SCREE
              ROTATE=VARIMAX
              ROUND
              FLAG=.40   ;
   VAR  V1-V12;
   RUN;


---------------------------------------------
CHAPTER 15
---------------------------------------------


/* The following program is found on p. 511 of      */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */


DATA D1;
   INPUT    #1    @1   (V1-V6)    (1.)  ;
CARDS;
556754
567343
777222
665243
666665
353324
767153
666656
334333
567232
445332
555232
546264
436663
265454
757774
635171
667777
657375
545554
557231
666222
656111
464555
465771
142441
675334
665131
666443
244342
464452
654665
775221
657333
666664
545333
353434
666676
667461
544444
666443
676556
676444
676222
545111
777443
566443
767151
455323
455544
;
PROC CORR   DATA=D1   ALPHA   NOMISS;
   VAR V1 V2 V3 V4;
   RUN;


---------------------------------------------
APPENDIX B: DATA SETS
---------------------------------------------


/* The following data set is found on p. 525 of     */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */
/* It is used in Chapter 13.                        */


CARDS;
34 30 25 13 25 12
32 27 27 14 32 13
34 23 24 21 30 14
26 26 22 18 27 19
 4 17 25 10 11 34
31 26 30 22 31 13
22 29 31 18 27 14
32 29 27  9 31  8
33 36 31 14 28 13
36 32 26 14 19 12
19 24 22 23 23  4
36 35 32 14 34  4
30 30 30 20 30 23
35 21 22 20 24 19
36 27 33  7 31  4
35 31 30 20 29  8
 4 20 20 22 14 28
36 35 29 14 34  8
36 32 28 14 28 15
19 18 17 25 18 20
20 30 26 20 23 28
36 34 31 21 32 18
29 27 24 19 19 13
 9 36 30  5 18 24
28 24 27 15 22 20
10 26 24 24 27 27
34 31 29  9 29 17
 7 12 16 26 20 33
35 36 33 13 27 16
36 33 30  5 29 13
 6 19 27 21 24 26
35  . 30 18 24 21
35 34 32 18 28 16
24 24 23 17 17 20
36 24 31 14 30 20
28 24 19 24 24 17
33 33 28 16 19 11
 5 12  9 15 11 32
21 24 20 24 22 14
16  9 12 30  . 15
36 34 32  6 20  9
29 27 27 20 30 21
 .  7 12 23 13 26
34 34 32 20 31 13
35 27 23 21 31 18
25 26 29  7 23 18
36 25 25 16 29 11
36 32 28 13 15  5
32 29 30 21 32 22
30 32 33 16 34  9
;


/* The following data set is found on p. 525 of     */
/* A Step-by-Step Approach to Using the SAS System  */
/* for Univariate and Multivariate Statistics.      */
/* It is used in Chapter 14 and 15.                 */


CARDS;
556754
567343
777222
665243
666665
353324
767153
666656
334333
567232
445332
555232
546264
436663
265454
757774
635171
667777
657375
545554
557231
666222
656111
464555
465771
142441
675334
665131
666443
244342
464452
654665
775221
657333
666664
545333
353434
666676
667461
544444
666443
676556
676444
676222
545111
777443
566443
767151
455323
455544
;