These examples appear in Chapter 7 of The Little SAS Book: A Primer, Fourth Edition.

Before you run the examples, open the zip file under the Downloads tab. Using the list below, create the folders and copy the data files so that the data are available during your SAS session.

Create the folder c:\MyRawData and copy these files to it:

              
   Address.dat          IceCreamSales.dat         Shakespeare.dat      
   Admit.dat            IceCreamSales2.dat        Shoe.dat             
   AllScores.dat        Lengths.dat               Shoesales.dat        
   Artists.dat          Library.dat               South.dat             
   Baseball.dat         LibraryBooks.dat          Speed.dat              
   Basketball.dat       Mag.dat                   Survey.dat             
   Boats2.dat           Mens5000.dat              Temperature.dat      
   Boats.dat            Mountains.dat             Temps.dat             
   Books.dat            Movies.dat                ToadJump.dat         
   Bus.dat              NatPark.Dat               Tomatoes.dat          
   Candy.dat            NewAdmit.dat              Traffic.dat          
   Cars.dat             North.dat                 Train.dat             
   Choc.dat             Olympic1500.dat           Transpos.dat         
   Chocolate.dat        OnionRing.dat             TropicalSales.dat        
   Chocsales.dat        Onions.dat                UsedCars.dat         
   Coffee.dat           OrdersQ3.dat              Walk.dat             
   Criterium.dat        Parks.dat                 WBRK.dat             
   CustAddress.dat      Picbooks.dat              Zoo.dat                
   Disc.dat             Precipitation.dat                                  
   Exercise.dat         President.dat             Bands.csv             
   Flowers.dat          Pumpkin.dat               Bands2.csv             
   Games.dat            Records.dat               Women.csv            
   Garden.dat           Scores.dat                                     
   Home.dat             SeaLife.dat                                     

Create the folder c:\MyFiles and copy this file to it: Baseball.xls

Create the folder c:\MyWebLogs and copy this file to it: dogweblogs.txt

Create the folder c:\MyExcelFiles and copy these files to it: Baseball.xls, OnionRing.xls

Create the folder c:\MyData to store files when you run examples

Create the folder c:\MyHTML to store files when you run examples

Create the folder c:\MyHTMLFiles to store files when you run examples

Create the folder c:\MyPDFFiles to store files when you run examples

Create the folder c:\MyRTFFiles to store files when you run examples

Create the folder c:\MySASLib and copy this file to it: TropicalSales.dat

---

Section 7.2

%LET flowertype = Ginger;

* Read the data and subset with a macro variable;
DATA flowersales;
   INFILE 'c:\MyRawData\TropicalSales.dat';
   INPUT CustomerID $4. @6 SaleDate MMDDYY10. @17 Variety $9. Quantity;
   IF Variety = "&flowertype";
RUN;
* Print the report using a macro variable;
PROC PRINT DATA = flowersales;
   FORMAT SaleDate WORDDATE18.;
   TITLE "Sales of &flowertype";
RUN;

---

Section 7.3

* Macro to print 5 largest sales;
%MACRO sample;
   PROC SORT DATA = flowersales;
      BY DESCENDING Quantity;
   RUN;
   PROC PRINT DATA = flowersales (OBS = 5);
      FORMAT SaleDate WORDDATE18.;
      TITLE 'Five Largest Sales';
   RUN;
%MEND sample;

* Read the flower sales data;
DATA flowersales;
   INFILE 'c:\MyRawData\TropicalSales.dat';
   INPUT CustomerID $4. @6 SaleDate MMDDYY10. @17 Variety $9. Quantity;
RUN;

* Invoke the macro;
%sample

---

Section 7.4

 
* Macro with parameters;
%MACRO select(customer=,sortvar=);
   PROC SORT DATA = flowersales OUT = salesout;
      BY &sortvar;
      WHERE CustomerID = "&customer";
   RUN;
   PROC PRINT DATA = salesout;
      FORMAT SaleDate WORDDATE18.;
      TITLE1 "Orders for Customer Number &customer";
      TITLE2 "Sorted by &sortvar";
   RUN;
%MEND select;

* Read all the flower sales data;
DATA flowersales;
   INFILE 'c:\MyRawData\TropicalSales.dat';
   INPUT CustomerID $4. @6 SaleDate MMDDYY10. @17 Variety $9. Quantity;
RUN;

*Invoke the macro;
%select(customer = 356W, sortvar = Quantity)
%select(customer = 240W, sortvar = Variety)

---

Section 7.5

%MACRO dailyreports;
   %IF &SYSDAY = Monday %THEN %DO;
      PROC PRINT DATA = flowersales;
         FORMAT SaleDate WORDDATE18.;
         TITLE 'Monday Report: Current Flower Sales';
      RUN;
   %END;
   %ELSE %IF &SYSDAY = Tuesday %THEN %DO;
      PROC MEANS DATA = flowersales MEAN MIN MAX;
         CLASS Variety;
         VAR Quantity;
         TITLE 'Tuesday Report: Summary of Flower Sales';
      RUN;
   %END;
%MEND dailyreports;

DATA flowersales;
   INFILE 'c:\MyRawData\TropicalSales.dat';
   INPUT CustomerID $4. @6 SaleDate MMDDYY10. @17 Variety $9. Quantity;
RUN;
%dailyreports

DATA flowersales;
   INFILE 'c:\MyRawData\TropicalSales.dat';
   INPUT CustomerID $ @6 SaleDate MMDDYY10. @17 Variety $9. Quantity;
RUN;
PROC MEANS DATA = flowersales MEAN MIN MAX;
   CLASS Variety;
   VAR Quantity;
   TITLE 'Tuesday Report: Summary of Flower Sales';
RUN;

---

Section 7.6

* Read the raw data;
DATA flowersales;
   INFILE 'c:\MySASLib\TropicalSales.dat';
   INPUT CustomerID $4. @6 SaleDate MMDDYY10. @17 Variety $9. Quantity;
PROC SORT DATA = flowersales;
   BY DESCENDING Quantity;
RUN;
* Find biggest order and pass the customer id to a macro variable;
DATA _NULL_;
   SET flowersales;
   IF _N_ = 1 THEN CALL SYMPUT("selectedcustomer",CustomerID);
   ELSE STOP;
RUN;
PROC PRINT DATA = flowersales;
   WHERE CustomerID = "&selectedcustomer";
   FORMAT SaleDate WORDDATE18.;
   TITLE "Customer &selectedcustomer Had the Single Largest Order";
RUN;

---

The sample is authored by Lora D. Delwiche and Susan J. Slaughter.
Their book The Little SAS Book: A Primer, Fourth Edition is available for sale in our online bookstore.

---

These sample files and code examples are provided by SAS Institute Inc. "as is" without warranty of any kind, either express or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. Recipients acknowledge and agree that SAS Institute shall not be liable for any damages whatsoever arising out of their use of this material. In addition, SAS Institute will provide no support for the materials contained herein.

---

---

These sample files and code examples are provided by SAS Institute Inc. "as is" without warranty of any kind, either express or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. Recipients acknowledge and agree that SAS Institute shall not be liable for any damages whatsoever arising out of their use of this material. In addition, SAS Institute will provide no support for the materials contained herein.

Section 7.2, Output
                                         Sales of Ginger

                         Customer
                  Obs       ID                 SaleDate    Variety    Quantity

                   1       240W        February 7, 2008    Ginger        120
                   2       188R       February 11, 2008    Ginger         24
                   3       356W       February 12, 2008    Ginger        240

Section 7.3, Output
                                       Five Largest Sales

                        Customer
                 Obs       ID                 SaleDate    Variety      Quantity

                  1       356W        February 8, 2008    Anthurium       300
                  2       356W       February 12, 2008    Ginger          240
                  3       240W        February 7, 2008    Protea          180
                  4       240W        February 7, 2008    Ginger          120
                  5       356W        February 8, 2008    Heliconia        60

Section 7.4, Output
                                 Orders for Customer Number 356W
                                       Sorted by Quantity

                        Customer
                 Obs       ID                 SaleDate    Variety      Quantity

                  1       356W        February 8, 2008    Heliconia        60
                  2       356W       February 12, 2008    Ginger          240
                  3       356W        February 8, 2008    Anthurium       300

                                 Orders for Customer Number 240W
                                        Sorted by Variety

                        Customer
                 Obs       ID                 SaleDate    Variety      Quantity

                  1       240W        February 7, 2008    Ginger          120
                  2       240W       February 12, 2008    Heliconia        48
                  3       240W        February 7, 2008    Protea          180
                  4       240W       February 12, 2008    Protea           48

Section 7.5, Output
                             

                               
Section 7.6, Output
                           Customer 356W Had the Single Largest Order

                        Customer
                 Obs       ID                 SaleDate    Variety      Quantity

                  1       356W        February 8, 2008    Anthurium       300
                  2       356W       February 12, 2008    Ginger          240
                  5       356W        February 8, 2008    Heliconia        60

Download the zip file in order to run these samples - zip file.

This sample describes the SAS Macro Facility and shows you how to develop and maintain your production programs easily and accurately. General concepts include creating modular code, using conditional logic, and writing data-driven programs.

Type:

Sample

Date Modified:	2009-01-29 17:19:35
Date Created:	2009-01-27 10:56:36

Operating System and Release Information

Product Family	Product	Host	SAS Release
			Starting	Ending
SAS System	Base SAS	z/OS
		OpenVMS VAX
		Microsoft® Windows® for 64-Bit Itanium-based Systems
		Microsoft Windows Server 2003 Datacenter 64-bit Edition
		Microsoft Windows Server 2003 Enterprise 64-bit Edition
		Microsoft Windows XP 64-bit Edition
		Microsoft® Windows® for x64
		OS/2
		Microsoft Windows 95/98
		Microsoft Windows 2000 Advanced Server
		Microsoft Windows 2000 Datacenter Server
		Microsoft Windows 2000 Server
		Microsoft Windows 2000 Professional
		Microsoft Windows NT Workstation
		Microsoft Windows Server 2003 Datacenter Edition
		Microsoft Windows Server 2003 Enterprise Edition
		Microsoft Windows Server 2003 Standard Edition
		Microsoft Windows XP Professional
		Windows Millennium Edition (Me)
		Windows Vista
		64-bit Enabled AIX
		64-bit Enabled HP-UX
		64-bit Enabled Solaris
		ABI+ for Intel Architecture
		AIX
		HP-UX
		HP-UX IPF
		IRIX
		Linux
		Linux for x64
		Linux on Itanium
		OpenVMS Alpha
		OpenVMS on HP Integrity
		Solaris
		Solaris for x64
		Tru64 UNIX