Download the macros and data sets from Fernandez's web site.

1. Visit the author's home page: {www.ag.unr.edu/gf/dm.html}.

2. Click "DOWNLOAD Data and Macro-Call Files" (under Preface,
   preceded by a quadruple asterisk).

3. Enter the username and password on page 354 of the textbook.

4. On the screen that appears, click the "Download" button
   and then choose "Save".  This will put the files into a 
   compressed (zipped) folder called "dm" in the directory
   of your choice.  This may be something like "U:\" or 
   "C:\" or "D:\CPH636\".

5. Double click the compressed (zipped) folder called "dm".
   Select "Extract all files" from the "Folder Tasks" box.  
   Follow the instructions of the Extraction Wizard.

6. Leave the compressed (zipped) folder and go to the
   uncompressed folder.  You will see "README" and two other 
   folders: "maccall" and "sasdata".  Make a third folder by 
   right-clicking on empty space, selecting "New", and then 
   "Folder".  Name the folder "RC".  Actually, you can name 
   the folder whatever you want if you substitute your name 
   for "RC" wherever "RC" appears in the instructions below.



Use the EXCELSAS macro.

1. Activate SAS.  Issue the following commands (with 
   appropriate substitutions for "U:\").

LIBNAME GFLib 'U:\dm\sasdata' ; 

LIBNAME RCLib 'U:\dm\RC' ;

2. Go to my web page: 
	{www.richardcharnigo.net/CPH636S09/index.html}.

3. Save the files {Diabetes.xls} and {DiabetesInfo.xls} to 
   your "RC" folder.  The former contains the data set; the
   latter contains information about the data set.  If you
   wish, briefly inspect both files.  Then close them.

4. In SAS, from the File menu choose "Open".  Go to your
   "dm" folder and, from there, to the "maccall" folder.
   Select "excelsas" and click on the "Open" button.

5. Click the runner icon in the toolbar at the top of the
   screen.

6. Fill in the blanks and hit enter.  Instructions are given 
   on pages 24-25 of the textbook.  You can try the following 
   (with appropriate substitutions for "U:\").
 		excel		U:\dm\RC\	
		Diabetes	RCLib
		U:\dm\RC\	word

7. Open the Word file "U:\dm\RC\Diabetes.doc" to view the
   first ten observations and summary statistics.

8. In SAS, you can issue the following commands to view the 
   full data set and to restore the original variable names
   that were present in {Diabetes.xls}.
 
TITLE ' ';
PROC PRINT DATA = RCLib.Diabetes;
RUN;

DATA RCLib.Diabetes;
SET  RCLib.Diabetes;
npreg = X1;
glu = X2;
bp = X3;
bmi = X4;
age = X5;
diab = X6;
RUN;

9. You could (if desired) apply other SAS PROCs that you had 
   learned about in STA 503, STA 570, STA 580, CPH 630, CPH 930, 
   STA 671, or CPH 535.  An example for PROC LOGISTIC is shown 
   below, and I have sample code for many other SAS PROCs at 
   {http://web.as.uky.edu/statistics/users/rjchar2/STA503F06/SAS503F06.pdf}.
   A wealth of information about SAS PROCs is available at
   {http://www.sfu.ca/sasdoc/sashtml/stat/index.htm}.

PROC LOGISTIC data = RCLib.Diabetes DESCEND;
model diab = npreg glu / ctable pprob=0.3 to 0.7 by 0.1;
RUN;


   
Use the RANSPLIT macro.

1. Activate SAS.  Issue the following commands (with 
   appropriate substitutions for "U:\").

LIBNAME GFLib 'U:\dm\sasdata' ; 

LIBNAME RCLib 'U:\dm\RC' ;

2. In SAS, from the File menu choose "Open".  Go to your
   "dm" folder and, from there, to the "maccall" folder.
   Select "ransplit" and click on the "Open" button.

3. Click the runner icon in the toolbar at the top of the
   screen.

4. Fill in the blanks and hit enter.  Instructions are given 
   on pages 34-37 of the textbook.  You can try the following 
   (with appropriate substitutions for "U:\").
 		RCLib.Diabetes		npreg glu bmi bp age
		100			50
		U:\dm\RC\		U:\dm\RC\
		word			1
		RCLib

5. Open the Word file "U:\dm\RC\RCLib.Diabetes1.doc" to view the
   first ten observations in the training data set and box plots
   that compare the training, validation, and test data sets.

6. Due to a bug in the RANSPLIT macro, you may need to shut
   down and then restart SAS to examine or manipulate the
   training, validation, and test data sets.  In this case,
   repeat step 1 above before continuing.

7. In SAS, you can issue the following commands to view the 
   training, validation, and test data sets.

TITLE ' ';  
PROC PRINT DATA = RCLib.Train_;
RUN;

PROC PRINT DATA = RCLib.Valid_;
RUN;

PROC PRINT DATA = RCLib.Test_;
RUN;

8. If you wish to rename these data sets, you can use syntax
   like the following.

DATA RCLib.NewName;
SET RCLib.Train_;
RUN;

PROC PRINT DATA = RCLib.NewName;
RUN;