A Macro to Keep Titles and Footnotes in One Place

Size: px
Start display at page:

Download "A Macro to Keep Titles and Footnotes in One Place"

Transcription

1 CC25 ABSTRACT A Macro to Keep Titles and Footnotes in One Place John Morrill, Quintiles, Inc., Kansas City, MO A large project with titles and footnotes in each separate program can be cumbersome to maintain. Consistency can be a problem and last minute changes require altering each program. This paper describes a method of collecting titles and footnotes into a single file and accessing these with a simple macro call. The complete macro is presented and explained with discussion also touching on possible enhancements as well as negatives and usage notes. The ease of use of this macro (which has at most one parameter) makes this paper appropriate for beginners while the convenience of the macro makes it worthy of consideration for all levels of SAS users. INTRODUCTION This paper is organized into five sections. The first section is a discussion of the need for collecting titles and footnotes into a single file. The second presents the format of title.txt, the text file containing all project titles and footnotes. The third shows an example program call and output. The fourth presents the HTF macro. The fifth section is a discussion of negatives, enhancements, and usage notes. 1. FEATURES OF CENTRAL TITLE AND FOOTNOTE PROCESSING Consider this scenario: a project involving scores of programs is due tomorrow and the client wishes to make changes to all titles. A traditional approach of maintaining titles in individual files may require hours of work to alter each file or, worse, having to tell the client that the requested change would delay timelines. You, however, have collected all titles and footnotes into a single file. Each of your programs has a single macro call with a single parameter identifying that program (and even that can be eliminated). The changes can be made quickly and consistently by opening a single file. This reduces the potential need for large-scale re-validation and revision history entries. Further, your suite of programs will be free of projectspecific titles and footnotes, making it easier to borrow code for the next project. Finally, this approach allows specialization which could be performed by someone without SAS expertise. 2. TITLE.TXT, THE REPOSITORY Below are the first several lines of the title.txt file containing titles and footnotes for every program in the project. It is organized into a header section containing titles common to all outputs and then a section of titles and footnotes unique to each output, one section per program. In this example, output test will have nine titles. The first three are found in the h1 through h3 rows, titles that appear on every output across the study. The next six are found on the t1 through t6 rows immediately under the progname=test line. These are unique to this output. The third header and the sixth title are blank, meaning that in the test output, the third and ninth titles will be blank. Two footnotes, found in the F1 and F2 lines, will show up in the test output. The footnote lines in this case begin with capital letters not as a requirement but simply because in many fonts, the lower case T and F are difficult to distinguish. Macro variables can be used to populate entire lines or portions of lines common to multiple outputs. The L, C, and R preceding the equal sign in headers, titles or footnotes indicate the horizontal position (Left, Center, or Right) of the resulting title or footnote. For example, t5r indicates that the text after the equal sign will be padded with blanks on the left such that this text extends to the right edge of the output as specified (or defaulted) by the linesize. See the output in section 3 for illustration. If no L, C, or R appears, the horizontal positioning of the title or footnote is controlled by the center/nocenter option in effect at the time of the %htf macro call. The text file approach was selected as it can be populated with tools (Juneja, 2003) that harvest titles from spreadsheets or mock tables/shells and is platform independent. h1=first header for Acme study h2=second header for Acme study h3= progname=test t1=first title for Acme study t2=second title for Acme study t3l=third title for Acme study (left) t4c=fourth title for Acme study (center) t5r=fifth title for Acme study (right) t6= F1=first footnote for Acme study

2 F2=second footnote for Acme study progname=test2 t1=acme study test2 first title t2=acme study test2 second title t3= F1=Acme study test2 first footnote F2=Acme study test2 second footnote 3. EXAMPLE CALL AND OUTPUT TEST.SAS %include "setup.sas"; %let prgmname=test; %htf(progname=&prgmname); data any; input p a b c; cards; ; proc print; by p; pageby p; TEST.LST (multiple spaces removed) first header for Acme study second header for Acme study first title for Acme study second title for Acme study third title for Acme study (left) fourth title for Acme study (center) fifth title for Acme study (right) p=1 Obs a b c first footnote for Acme study second footnote for Acme study first header for Acme study second header for Acme study first title for Acme study second title for Acme study third title for Acme study (left) fourth title for Acme study (center) fifth title for Acme study (right) p=2

3 Obs a b c first footnote for Acme study second footnote for Acme study 4. THE HTF MACRO The HTF macro is shown below in its entirety. It is not particularly complex so its internal documentation will serve to suggest its workings. The two filenames at the beginning of the macro could alternatively be defined in a setup file. %macro htf(progname=); filename htf "title.txt"; filename htf_out "title_out_&progname..sas"; %let option_ls=%trim(%sysfunc(getoption(linesize))); data any; length line $800 ltype $1; format tae tae_lcr $char&option_ls..; infile htf missover length=reclen;* obs=15; input line $varying800. reclen; cline=compress(upcase(line),' LCR'); LCRline=compress(upcase(line),' HTF'); ** All lines must have an equal sign. **; if indexc(line,'=') GT 0; ** Categorize header, program, title, and footnote lines. **; if substr(left(upcase(line)),1,1)='h' then ltype='h'; else if substr(left(upcase(line)),1,1)='t' then ltype='t'; else if substr(left(upcase(line)),1,1)='f' then ltype='f'; else if substr(left(upcase(line)),1,1)='p' then ltype='p'; ** Determine the number before the equal sign. **; if ltype IN ('H' 'T' 'F') then nbe=input(substr(cline, indexc(cline,' '), indexc(cline,'=')-indexc(cline,' ')),best5.); ** Determine the horizontal position parameter before the equal sign. **; if ltype IN ('H' 'T' 'F') and substr(lcrline,1,1) IN ('L' 'C' 'R') then hbe=substr(lcrline,1,1); ** Determine the text after the equal sign. **; if ltype IN ('H' 'T' 'F' 'P') AND (indexc(cline,'=') NE length(cline)) then tae=substr(line, (indexc(line,'=')+1), length(line)-indexc(line,'=')); if ltype IN ('P') then tae=compress(tae); l_tae=length(tae); l_line=length(line); o_ls=&option_ls; space_lr=o_ls-l_tae; space_c=int(space_lr/2); if hbe NOT IN ('L' 'C' 'R') then tae_lcr=tae; else do; if hbe='l' then tae_lcr=trim(tae) repeat(' ',max(space_lr-1,0)); if hbe='c' then tae_lcr=repeat(' ',max(space_c-1,0)) trim(left(tae)) repeat(' ',max(space_c-1,0)); if hbe='r' then tae_lcr=repeat(' ',max(space_lr-2,0)) trim(left(tae)); end; *proc contents; *proc print width=min data= any(drop=cline LCRline line) noobs; * where ltype='t'; * ** Count number of headers. **; proc sql noprint;

4 select count(/*distinct*/ ltype) into :_h from any where ltype='h'; quit; ** Assign appropriate progname to each title and footnote. **; ** Add header count to titles. **; data any(drop=cline LCRline line nbe space: o_ls l_tae l_line); set any; length p $99; retain p; if ltype='p' then p=tae; if ltype IN ('T') then n=nbe+&_h; else n=nbe; data any_q; set any(where=(ltype='h' OR p="&progname")); ** Count number of headers. **; proc sql noprint; select count(ltype) into :_ht from any_q where ltype IN ('H' 'T'); select count(ltype) into :_f from any_q where ltype IN ('F'); quit; data _null_ ; set any_q(where=(ltype NE 'P')); file htf_out ; if ltype IN ('H' 'T') then "title" n '"' tae_lcr $char&option_ls.. +(-1) '";' ; if ltype IN ('F') then "footnote" n '"' tae_lcr $char&option_ls.. +(-1) '";' ; run ; quit ; %include "title_out_&progname..sas"; ** Cleaning operation - first intermediate file then data sets. **; data _null_; fname="interm"; rc=filename(fname,"title_out_&progname..sas"); if rc = 0 and fexist(fname) then rc=fdelete(fname); rc=filename(fname); proc datasets nolist; delete any_q any; %mend htf; 5. NEGATIVES, ENHANCEMENTS AND USAGE NOTES One negative to the htf macro / title.txt approach is that multiple programmers may need to access the title.txt file. This can be overcome with proper communication or by assigning a single person to be responsible for updates or perhaps some kind of version control. This negative may be outweighed by the gain in consistency a single file achieves. Another criticism of the title.txt approach is that a SAS program collecting all headers, titles, and footnotes could be easily designed, achieving the same results with less complexity. While this may be true, title.txt can be maintained by someone without programming experience which may be an advantage. A number of enhancements could be made to the htf macro. It could perform a consistency check of the title.txt file to ensure that everything is in its place. A check could also verify that no conflicting titles or footnotes exist in the SAS program calling the htf macro.

5 From the user s perspective, there is nothing keeping macro variables from being used with title.txt and a page numbering macro could be used to allow any number of page number styles (e.g., page x of y). A position-holding token could be placed in title.txt and a post-processing macro could be used to detect the page number with which to replace this token. And a dummy progname could be used to record a revision history or store a library of special characters for convenient use. Finally, it is wise to issue this macro immediately before the titles are needed to avoid conflict with titles or footnotes that may be left over from testing stages. REFERENCES Raj Juneja in 2003 (unpublished) developed a SAS macro which harvests into a SAS data set a project s entire set of titles and footnotes from MS Word document mock tables. Titles and footnotes can also be read from an MS Excel worksheet. Title.txt can easily be populated from a SAS data set. Having this flexibility reduces start-up time and improves options for checking consistency. Contact Mr. Juneja at raj_juneja@hotmail.com. ACKNOWLEDGMENTS The author wishes to thank Dr. Philip Doren, Dr. Indra Fernando, John Gorden, Doug Moore, Tony Salehi, and Kelley Weston for valuable review and suggestions. SAS is a registered trademark or trademark of SAS Institute Inc. in the USA and other countries. indicates USA registration. Other brand and product names are registered trademarks or trademarks of their respective companies. CONTACT INFORMATION Your comments and questions are valued and encouraged. Contact the author by phone at , by mail at Quintiles, Inc., P.O. Box 9708, Kansas City, MO , or by at John.Morrill@Quintiles.com. BIO INFORMATION John is an Analyst in Statistical Programming at Quintiles, Inc. in Kansas City. He first used SAS in 1985 and has used it fulltime in the pharmaceutical industry since KEYWORDS Title, Footnote, Header, Macro

HAVE YOU EVER WISHED THAT YOU DO NOT NEED TO TYPE OR CHANGE REPORT NUMBERS AND TITLES IN YOUR SAS PROGRAMS?

HAVE YOU EVER WISHED THAT YOU DO NOT NEED TO TYPE OR CHANGE REPORT NUMBERS AND TITLES IN YOUR SAS PROGRAMS? HAVE YOU EVER WISHED THAT YOU DO NOT NEED TO TYPE OR CHANGE REPORT NUMBERS AND TITLES IN YOUR SAS PROGRAMS? Aileen L. Yam, PharmaNet, Inc., Princeton, NJ ABSTRACT In clinical research, the table of contents

More information

A SAS Macro Utility to Modify and Validate RTF Outputs for Regional Analyses Jagan Mohan Achi, PPD, Austin, TX Joshua N. Winters, PPD, Rochester, NY

A SAS Macro Utility to Modify and Validate RTF Outputs for Regional Analyses Jagan Mohan Achi, PPD, Austin, TX Joshua N. Winters, PPD, Rochester, NY PharmaSUG 2014 - Paper BB14 A SAS Macro Utility to Modify and Validate RTF Outputs for Regional Analyses Jagan Mohan Achi, PPD, Austin, TX Joshua N. Winters, PPD, Rochester, NY ABSTRACT Clinical Study

More information

Using GSUBMIT command to customize the interface in SAS Xin Wang, Fountain Medical Technology Co., ltd, Nanjing, China

Using GSUBMIT command to customize the interface in SAS Xin Wang, Fountain Medical Technology Co., ltd, Nanjing, China PharmaSUG China 2015 - Paper PO71 Using GSUBMIT command to customize the interface in SAS Xin Wang, Fountain Medical Technology Co., ltd, Nanjing, China One of the reasons that SAS is widely used as the

More information

Run your reports through that last loop to standardize the presentation attributes

Run your reports through that last loop to standardize the presentation attributes PharmaSUG2011 - Paper TT14 Run your reports through that last loop to standardize the presentation attributes Niraj J. Pandya, Element Technologies Inc., NJ ABSTRACT Post Processing of the report could

More information

PharmaSUG 2013 CC26 Automating the Labeling of X- Axis Sanjiv Ramalingam, Vertex Pharmaceuticals, Inc., Cambridge, MA

PharmaSUG 2013 CC26 Automating the Labeling of X- Axis Sanjiv Ramalingam, Vertex Pharmaceuticals, Inc., Cambridge, MA PharmaSUG 2013 CC26 Automating the Labeling of X- Axis Sanjiv Ramalingam, Vertex Pharmaceuticals, Inc., Cambridge, MA ABSTRACT Labeling of the X-axis usually involves a tedious axis statement specifying

More information

So Much Data, So Little Time: Splitting Datasets For More Efficient Run Times and Meeting FDA Submission Guidelines

So Much Data, So Little Time: Splitting Datasets For More Efficient Run Times and Meeting FDA Submission Guidelines Paper TT13 So Much Data, So Little Time: Splitting Datasets For More Efficient Run Times and Meeting FDA Submission Guidelines Anthony Harris, PPD, Wilmington, NC Robby Diseker, PPD, Wilmington, NC ABSTRACT

More information

LST in Comparison Sanket Kale, Parexel International Inc., Durham, NC Sajin Johnny, Parexel International Inc., Durham, NC

LST in Comparison Sanket Kale, Parexel International Inc., Durham, NC Sajin Johnny, Parexel International Inc., Durham, NC ABSTRACT PharmaSUG 2013 - Paper PO01 LST in Comparison Sanket Kale, Parexel International Inc., Durham, NC Sajin Johnny, Parexel International Inc., Durham, NC The need for producing error free programming

More information

Let SAS Help You Easily Find and Access Your Folders and Files

Let SAS Help You Easily Find and Access Your Folders and Files Paper 11720-2016 Let SAS Help You Easily Find and Access Your Folders and Files ABSTRACT Ting Sa, Cincinnati Children s Hospital Medical Center In this paper, a SAS macro is introduced that can help users

More information

A Macro that can Search and Replace String in your SAS Programs

A Macro that can Search and Replace String in your SAS Programs ABSTRACT MWSUG 2016 - Paper BB27 A Macro that can Search and Replace String in your SAS Programs Ting Sa, Cincinnati Children s Hospital Medical Center, Cincinnati, OH In this paper, a SAS macro is introduced

More information

Base and Advance SAS

Base and Advance SAS Base and Advance SAS BASE SAS INTRODUCTION An Overview of the SAS System SAS Tasks Output produced by the SAS System SAS Tools (SAS Program - Data step and Proc step) A sample SAS program Exploring SAS

More information

Program Validation: Logging the Log

Program Validation: Logging the Log Program Validation: Logging the Log Adel Fahmy, Symbiance Inc., Princeton, NJ ABSTRACT Program Validation includes checking both program Log and Logic. The program Log should be clear of any system Error/Warning

More information

Quick Data Definitions Using SQL, REPORT and PRINT Procedures Bradford J. Danner, PharmaNet/i3, Tennessee

Quick Data Definitions Using SQL, REPORT and PRINT Procedures Bradford J. Danner, PharmaNet/i3, Tennessee ABSTRACT PharmaSUG2012 Paper CC14 Quick Data Definitions Using SQL, REPORT and PRINT Procedures Bradford J. Danner, PharmaNet/i3, Tennessee Prior to undertaking analysis of clinical trial data, in addition

More information

Producing Summary Tables in SAS Enterprise Guide

Producing Summary Tables in SAS Enterprise Guide Producing Summary Tables in SAS Enterprise Guide Lora D. Delwiche, University of California, Davis, CA Susan J. Slaughter, Avocet Solutions, Davis, CA ABSTRACT This paper shows, step-by-step, how to use

More information

ABSTRACT INTRODUCTION TRICK 1: CHOOSE THE BEST METHOD TO CREATE MACRO VARIABLES

ABSTRACT INTRODUCTION TRICK 1: CHOOSE THE BEST METHOD TO CREATE MACRO VARIABLES An Efficient Method to Create a Large and Comprehensive Codebook Wen Song, ICF International, Calverton, MD Kamya Khanna, ICF International, Calverton, MD Baibai Chen, ICF International, Calverton, MD

More information

Hidden in plain sight: my top ten underpublicized enhancements in SAS Versions 9.2 and 9.3

Hidden in plain sight: my top ten underpublicized enhancements in SAS Versions 9.2 and 9.3 Hidden in plain sight: my top ten underpublicized enhancements in SAS Versions 9.2 and 9.3 Bruce Gilsen, Federal Reserve Board, Washington, DC ABSTRACT SAS Versions 9.2 and 9.3 contain many interesting

More information

SAS Macro Dynamics - From Simple Basics to Powerful Invocations Rick Andrews, Office of the Actuary, CMS, Baltimore, MD

SAS Macro Dynamics - From Simple Basics to Powerful Invocations Rick Andrews, Office of the Actuary, CMS, Baltimore, MD Paper BB-7 SAS Macro Dynamics - From Simple Basics to Powerful Invocations Rick Andrews, Office of the Actuary, CMS, Baltimore, MD ABSTRACT The SAS Macro Facility offers a mechanism for expanding and customizing

More information

A Format to Make the _TYPE_ Field of PROC MEANS Easier to Interpret Matt Pettis, Thomson West, Eagan, MN

A Format to Make the _TYPE_ Field of PROC MEANS Easier to Interpret Matt Pettis, Thomson West, Eagan, MN Paper 045-29 A Format to Make the _TYPE_ Field of PROC MEANS Easier to Interpret Matt Pettis, Thomson West, Eagan, MN ABSTRACT: PROC MEANS analyzes datasets according to the variables listed in its Class

More information

Missing Pages Report. David Gray, PPD, Austin, TX Zhuo Chen, PPD, Austin, TX

Missing Pages Report. David Gray, PPD, Austin, TX Zhuo Chen, PPD, Austin, TX PharmaSUG2010 - Paper DM05 Missing Pages Report David Gray, PPD, Austin, TX Zhuo Chen, PPD, Austin, TX ABSTRACT In a clinical study it is important for data management teams to receive CRF pages from investigative

More information

ODS/RTF Pagination Revisit

ODS/RTF Pagination Revisit PharmaSUG 2018 - Paper QT-01 ODS/RTF Pagination Revisit Ya Huang, Halozyme Therapeutics, Inc. Bryan Callahan, Halozyme Therapeutics, Inc. ABSTRACT ODS/RTF combined with PROC REPORT has been used to generate

More information

An Efficient Tool for Clinical Data Check

An Efficient Tool for Clinical Data Check PharmaSUG 2018 - Paper AD-16 An Efficient Tool for Clinical Data Check Chao Su, Merck & Co., Inc., Rahway, NJ Shunbing Zhao, Merck & Co., Inc., Rahway, NJ Cynthia He, Merck & Co., Inc., Rahway, NJ ABSTRACT

More information

The Path To Treatment Pathways Tracee Vinson-Sorrentino, IMS Health, Plymouth Meeting, PA

The Path To Treatment Pathways Tracee Vinson-Sorrentino, IMS Health, Plymouth Meeting, PA ABSTRACT PharmaSUG 2015 - Paper HA06 The Path To Treatment Pathways Tracee Vinson-Sorrentino, IMS Health, Plymouth Meeting, PA Refills, switches, restarts, and continuation are valuable and necessary metrics

More information

Regaining Some Control Over ODS RTF Pagination When Using Proc Report Gary E. Moore, Moore Computing Services, Inc., Little Rock, Arkansas

Regaining Some Control Over ODS RTF Pagination When Using Proc Report Gary E. Moore, Moore Computing Services, Inc., Little Rock, Arkansas PharmaSUG 2015 - Paper QT40 Regaining Some Control Over ODS RTF Pagination When Using Proc Report Gary E. Moore, Moore Computing Services, Inc., Little Rock, Arkansas ABSTRACT When creating RTF files using

More information

A Generalized Macro-Based Data Reporting System to Produce Both HTML and Text Files

A Generalized Macro-Based Data Reporting System to Produce Both HTML and Text Files A Generalized Macro-Based Data Reporting System to Produce Both HTML and Text Files Jeff F. Sun, Blue Cross Blue Shield of North Carolina, Durham, North Carolina Abstract This paper will address the inter-connection

More information

Your Own SAS Macros Are as Powerful as You Are Ingenious

Your Own SAS Macros Are as Powerful as You Are Ingenious Paper CC166 Your Own SAS Macros Are as Powerful as You Are Ingenious Yinghua Shi, Department Of Treasury, Washington, DC ABSTRACT This article proposes, for user-written SAS macros, separate definitions

More information

Text Generational Data Sets (Text GDS)

Text Generational Data Sets (Text GDS) Paper 274-2017 Text Generational Data Sets (Text GDS) Dr. Kannan Deivasigamani HSBC ABSTRACT This paper offers a way to fill the void that SAS currently has with respect to the missing feature in the language,

More information

Clinical Data Visualization using TIBCO Spotfire and SAS

Clinical Data Visualization using TIBCO Spotfire and SAS ABSTRACT SESUG Paper RIV107-2017 Clinical Data Visualization using TIBCO Spotfire and SAS Ajay Gupta, PPD, Morrisville, USA In Pharmaceuticals/CRO industries, you may receive requests from stakeholders

More information

A Tool to Compare Different Data Transfers Jun Wang, FMD K&L, Inc., Nanjing, China

A Tool to Compare Different Data Transfers Jun Wang, FMD K&L, Inc., Nanjing, China PharmaSUG China 2018 Paper 64 A Tool to Compare Different Data Transfers Jun Wang, FMD K&L, Inc., Nanjing, China ABSTRACT For an ongoing study, especially for middle-large size studies, regular or irregular

More information

Developing Data-Driven SAS Programs Using Proc Contents

Developing Data-Driven SAS Programs Using Proc Contents Developing Data-Driven SAS Programs Using Proc Contents Robert W. Graebner, Quintiles, Inc., Kansas City, MO ABSTRACT It is often desirable to write SAS programs that adapt to different data set structures

More information

Implementing external file processing with no record delimiter via a metadata-driven approach

Implementing external file processing with no record delimiter via a metadata-driven approach Paper 2643-2018 Implementing external file processing with no record delimiter via a metadata-driven approach Princewill Benga, F&P Consulting, Saint-Maur, France ABSTRACT Most of the time, we process

More information

CC13 An Automatic Process to Compare Files. Simon Lin, Merck & Co., Inc., Rahway, NJ Huei-Ling Chen, Merck & Co., Inc., Rahway, NJ

CC13 An Automatic Process to Compare Files. Simon Lin, Merck & Co., Inc., Rahway, NJ Huei-Ling Chen, Merck & Co., Inc., Rahway, NJ CC13 An Automatic Process to Compare Files Simon Lin, Merck & Co., Inc., Rahway, NJ Huei-Ling Chen, Merck & Co., Inc., Rahway, NJ ABSTRACT Comparing different versions of output files is often performed

More information

Hypothesis Testing: An SQL Analogy

Hypothesis Testing: An SQL Analogy Hypothesis Testing: An SQL Analogy Leroy Bracken, Boulder Creek, CA Paul D Sherman, San Jose, CA ABSTRACT This paper is all about missing data. Do you ever know something about someone but don't know who

More information

A Macro to Create Program Inventory for Analysis Data Reviewer s Guide Xianhua (Allen) Zeng, PAREXEL International, Shanghai, China

A Macro to Create Program Inventory for Analysis Data Reviewer s Guide Xianhua (Allen) Zeng, PAREXEL International, Shanghai, China PharmaSUG 2018 - Paper QT-08 A Macro to Create Program Inventory for Analysis Data Reviewer s Guide Xianhua (Allen) Zeng, PAREXEL International, Shanghai, China ABSTRACT As per Analysis Data Reviewer s

More information

PharmaSUG Paper TT11

PharmaSUG Paper TT11 PharmaSUG 2014 - Paper TT11 What is the Definition of Global On-Demand Reporting within the Pharmaceutical Industry? Eric Kammer, Novartis Pharmaceuticals Corporation, East Hanover, NJ ABSTRACT It is not

More information

The Impossible An Organized Statistical Programmer Brian Spruell and Kevin Mcgowan, SRA Inc., Durham, NC

The Impossible An Organized Statistical Programmer Brian Spruell and Kevin Mcgowan, SRA Inc., Durham, NC Paper CS-061 The Impossible An Organized Statistical Programmer Brian Spruell and Kevin Mcgowan, SRA Inc., Durham, NC ABSTRACT Organization is the key to every project. It provides a detailed history of

More information

Cover the Basics, Tool for structuring data checking with SAS Ole Zester, Novo Nordisk, Denmark

Cover the Basics, Tool for structuring data checking with SAS Ole Zester, Novo Nordisk, Denmark ABSTRACT PharmaSUG 2014 - Paper IB04 Cover the Basics, Tool for structuring data checking with SAS Ole Zester, Novo Nordisk, Denmark Data Cleaning and checking are essential parts of the Stat programmer

More information

ODS DOCUMENT, a practical example. Ruurd Bennink, OCS Consulting B.V., s-hertogenbosch, the Netherlands

ODS DOCUMENT, a practical example. Ruurd Bennink, OCS Consulting B.V., s-hertogenbosch, the Netherlands Paper CC01 ODS DOCUMENT, a practical example Ruurd Bennink, OCS Consulting B.V., s-hertogenbosch, the Netherlands ABSTRACT The ODS DOCUMENT destination (in short ODS DOCUMENT) is perhaps the most underutilized

More information

Arthur L. Carpenter California Occidental Consultants, Oceanside, California

Arthur L. Carpenter California Occidental Consultants, Oceanside, California Paper 028-30 Storing and Using a List of Values in a Macro Variable Arthur L. Carpenter California Occidental Consultants, Oceanside, California ABSTRACT When using the macro language it is not at all

More information

TLF Management Tools: SAS programs to help in managing large number of TLFs. Eduard Joseph Siquioco, PPD, Manila, Philippines

TLF Management Tools: SAS programs to help in managing large number of TLFs. Eduard Joseph Siquioco, PPD, Manila, Philippines PharmaSUG China 2018 Paper AD-58 TLF Management Tools: SAS programs to help in managing large number of TLFs ABSTRACT Eduard Joseph Siquioco, PPD, Manila, Philippines Managing countless Tables, Listings,

More information

PharmaSUG China 2018 Paper AD-62

PharmaSUG China 2018 Paper AD-62 PharmaSUG China 2018 Paper AD-62 Decomposition and Reconstruction of TLF Shells - A Simple, Fast and Accurate Shell Designer Chengeng Tian, dmed Biopharmaceutical Co., Ltd., Shanghai, China ABSTRACT Table/graph

More information

MISSING VALUES: Everything You Ever Wanted to Know

MISSING VALUES: Everything You Ever Wanted to Know Paper CS-060 MISSING VALUES: Everything You Ever Wanted to Know Malachy J. Foley, Chapel Hill, NC ABSTRACT Many people know about the 28 different missing values for SAS numerical data. However, few people

More information

So, Your Data are in Excel! Ed Heaton, Westat

So, Your Data are in Excel! Ed Heaton, Westat Paper AD02_05 So, Your Data are in Excel! Ed Heaton, Westat Abstract You say your customer sent you the data in an Excel workbook. Well then, I guess you'll have to work with it. This paper will discuss

More information

Greenspace: A Macro to Improve a SAS Data Set Footprint

Greenspace: A Macro to Improve a SAS Data Set Footprint Paper AD-150 Greenspace: A Macro to Improve a SAS Data Set Footprint Brian Varney, Experis Business Intelligence and Analytics Practice ABSTRACT SAS programs can be very I/O intensive. SAS data sets with

More information

What Do You Mean My CSV Doesn t Match My SAS Dataset?

What Do You Mean My CSV Doesn t Match My SAS Dataset? SESUG 2016 Paper CC-132 What Do You Mean My CSV Doesn t Match My SAS Dataset? Patricia Guldin, Merck & Co., Inc; Young Zhuge, Merck & Co., Inc. ABSTRACT Statistical programmers are responsible for delivering

More information

Using Templates Created by the SAS/STAT Procedures

Using Templates Created by the SAS/STAT Procedures Paper 081-29 Using Templates Created by the SAS/STAT Procedures Yanhong Huang, Ph.D. UMDNJ, Newark, NJ Jianming He, Solucient, LLC., Berkeley Heights, NJ ABSTRACT SAS procedures provide a large quantity

More information

Consistency Check: QC Across Outputs for Inconsistencies

Consistency Check: QC Across Outputs for Inconsistencies ABSTRACT Paper TT14 Consistency Check: QC Across Outputs for Inconsistencies John Morrill, Quintiles, Inc., Kansas City, MO David J. Austin, PRA International, Charlottesville, VA Executing a SAS program

More information

Ranking Between the Lines

Ranking Between the Lines Ranking Between the Lines A %MACRO for Interpolated Medians By Joe Lorenz SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in

More information

One SAS To Rule Them All

One SAS To Rule Them All SAS Global Forum 2017 ABSTRACT Paper 1042 One SAS To Rule Them All William Gui Zupko II, Federal Law Enforcement Training Centers In order to display data visually, our audience preferred Excel s compared

More information

How to use UNIX commands in SAS code to read SAS logs

How to use UNIX commands in SAS code to read SAS logs SESUG Paper 030-2017 How to use UNIX commands in SAS code to read SAS logs James Willis, OptumInsight ABSTRACT Reading multiple logs at the end of a processing stream is tedious when the process runs on

More information

ET01. LIBNAME libref <engine-name> <physical-file-name> <libname-options>; <SAS Code> LIBNAME libref CLEAR;

ET01. LIBNAME libref <engine-name> <physical-file-name> <libname-options>; <SAS Code> LIBNAME libref CLEAR; ET01 Demystifying the SAS Excel LIBNAME Engine - A Practical Guide Paul A. Choate, California State Developmental Services Carol A. Martell, UNC Highway Safety Research Center ABSTRACT This paper is a

More information

SAS Certification Handout #7: Ch

SAS Certification Handout #7: Ch SAS Certification Handout #7: Ch. 19-21 /************ Ch. 19 ********************/ /* Consider a mailing list example, partial from http://mlb.mlb.com/team/ 1---+----10---+----20---+ Kansas City Royals

More information

Extending the Scope of Custom Transformations

Extending the Scope of Custom Transformations Paper 3306-2015 Extending the Scope of Custom Transformations Emre G. SARICICEK, The University of North Carolina at Chapel Hill. ABSTRACT Building and maintaining a data warehouse can require complex

More information

Making an RTF file Out of a Text File, With SAS Paper CC13

Making an RTF file Out of a Text File, With SAS Paper CC13 Making an RTF file Out of a Text File, With SAS Paper CC13 David Franklin Independent SAS Consultant While you are waiting, some trivia. Q is the only letter in the alphabet that does not appear in the

More information

SAS Macro Dynamics: from Simple Basics to Powerful Invocations Rick Andrews, Office of Research, Development, and Information, Baltimore, MD

SAS Macro Dynamics: from Simple Basics to Powerful Invocations Rick Andrews, Office of Research, Development, and Information, Baltimore, MD ABSTRACT CODERS CORNER SAS Macro Dynamics: from Simple Basics to Powerful Invocations Rick Andrews, Office of Research, Development, and Information, Baltimore, MD The SAS Macro Facility offers a mechanism

More information

Paper S Data Presentation 101: An Analyst s Perspective

Paper S Data Presentation 101: An Analyst s Perspective Paper S1-12-2013 Data Presentation 101: An Analyst s Perspective Deanna Chyn, University of Michigan, Ann Arbor, MI Anca Tilea, University of Michigan, Ann Arbor, MI ABSTRACT You are done with the tedious

More information

PharmaSUG Paper PO12

PharmaSUG Paper PO12 PharmaSUG 2015 - Paper PO12 ABSTRACT Utilizing SAS for Cross-Report Verification in a Clinical Trials Setting Daniel Szydlo, Fred Hutchinson Cancer Research Center, Seattle, WA Iraj Mohebalian, Fred Hutchinson

More information

A Macro for Systematic Treatment of Special Values in Weight of Evidence Variable Transformation Chaoxian Cai, Automated Financial Systems, Exton, PA

A Macro for Systematic Treatment of Special Values in Weight of Evidence Variable Transformation Chaoxian Cai, Automated Financial Systems, Exton, PA Paper RF10-2015 A Macro for Systematic Treatment of Special Values in Weight of Evidence Variable Transformation Chaoxian Cai, Automated Financial Systems, Exton, PA ABSTRACT Weight of evidence (WOE) recoding

More information

%MAKE_IT_COUNT: An Example Macro for Dynamic Table Programming Britney Gilbert, Juniper Tree Consulting, Porter, Oklahoma

%MAKE_IT_COUNT: An Example Macro for Dynamic Table Programming Britney Gilbert, Juniper Tree Consulting, Porter, Oklahoma Britney Gilbert, Juniper Tree Consulting, Porter, Oklahoma ABSTRACT Today there is more pressure on programmers to deliver summary outputs faster without sacrificing quality. By using just a few programming

More information

Taming a Spreadsheet Importation Monster

Taming a Spreadsheet Importation Monster SESUG 2013 Paper BtB-10 Taming a Spreadsheet Importation Monster Nat Wooding, J. Sargeant Reynolds Community College ABSTRACT As many programmers have learned to their chagrin, it can be easy to read Excel

More information

Write SAS Code to Generate Another SAS Program A Dynamic Way to Get Your Data into SAS

Write SAS Code to Generate Another SAS Program A Dynamic Way to Get Your Data into SAS Paper 175-29 Write SAS Code to Generate Another SAS Program A Dynamic Way to Get Your Data into SAS Linda Gau, Pro Unlimited @ Genentech, Inc., South San Francisco, CA ABSTRACT In this paper we introduce

More information

Data Edit-checks Integration using ODS Tagset Niraj J. Pandya, Element Technologies Inc., NJ Vinodh Paida, Impressive Systems Inc.

Data Edit-checks Integration using ODS Tagset Niraj J. Pandya, Element Technologies Inc., NJ Vinodh Paida, Impressive Systems Inc. PharmaSUG2011 - Paper DM03 Data Edit-checks Integration using ODS Tagset Niraj J. Pandya, Element Technologies Inc., NJ Vinodh Paida, Impressive Systems Inc., TX ABSTRACT In the Clinical trials data analysis

More information

Matt Downs and Heidi Christ-Schmidt Statistics Collaborative, Inc., Washington, D.C.

Matt Downs and Heidi Christ-Schmidt Statistics Collaborative, Inc., Washington, D.C. Paper 82-25 Dynamic data set selection and project management using SAS 6.12 and the Windows NT 4.0 file system Matt Downs and Heidi Christ-Schmidt Statistics Collaborative, Inc., Washington, D.C. ABSTRACT

More information

Paper CC16. William E Benjamin Jr, Owl Computer Consultancy LLC, Phoenix, AZ

Paper CC16. William E Benjamin Jr, Owl Computer Consultancy LLC, Phoenix, AZ Paper CC16 Smoke and Mirrors!!! Come See How the _INFILE_ Automatic Variable and SHAREBUFFERS Infile Option Can Speed Up Your Flat File Text-Processing Throughput Speed William E Benjamin Jr, Owl Computer

More information

Programming Tips and Examples for Your Toolkit, III John Morrill, Pharmion Corporation, Overland Park, KS

Programming Tips and Examples for Your Toolkit, III John Morrill, Pharmion Corporation, Overland Park, KS Paper TT15 Programming Tips and Examples for Your Toolkit, III John Morrill, Pharmion Corporation, Overland Park, KS ABSTRACT This paper is a continuation of a series of PharmaSUG papers containing several

More information

Reading in Data Directly from Microsoft Word Questionnaire Forms

Reading in Data Directly from Microsoft Word Questionnaire Forms Paper 1401-2014 Reading in Data Directly from Microsoft Word Questionnaire Forms Sijian Zhang, VA Pittsburgh Healthcare System ABSTRACT If someone comes to you with hundreds of questionnaire forms in Microsoft

More information

Paper ###-YYYY. SAS Enterprise Guide: A Revolutionary Tool! Jennifer First, Systems Seminar Consultants, Madison, WI

Paper ###-YYYY. SAS Enterprise Guide: A Revolutionary Tool! Jennifer First, Systems Seminar Consultants, Madison, WI Paper ###-YYYY SAS Enterprise Guide: A Revolutionary Tool! Jennifer First, Systems Seminar Consultants, Madison, WI ABSTRACT Whether you are a novice or a pro with SAS, Enterprise Guide has something for

More information

Cleaning Duplicate Observations on a Chessboard of Missing Values Mayrita Vitvitska, ClinOps, LLC, San Francisco, CA

Cleaning Duplicate Observations on a Chessboard of Missing Values Mayrita Vitvitska, ClinOps, LLC, San Francisco, CA Cleaning Duplicate Observations on a Chessboard of Missing Values Mayrita Vitvitska, ClinOps, LLC, San Francisco, CA ABSTRACT Removing duplicate observations from a data set is not as easy as it might

More information

Automated Checking Of Multiple Files Kathyayini Tappeta, Percept Pharma Services, Bridgewater, NJ

Automated Checking Of Multiple Files Kathyayini Tappeta, Percept Pharma Services, Bridgewater, NJ PharmaSUG 2015 - Paper QT41 Automated Checking Of Multiple Files Kathyayini Tappeta, Percept Pharma Services, Bridgewater, NJ ABSTRACT Most often clinical trial data analysis has tight deadlines with very

More information

Out of Control! A SAS Macro to Recalculate QC Statistics

Out of Control! A SAS Macro to Recalculate QC Statistics Paper 3296-2015 Out of Control! A SAS Macro to Recalculate QC Statistics Jesse Pratt, Colleen Mangeot, Kelly Olano, Cincinnati Children s Hospital Medical Center, Cincinnati, OH, USA ABSTRACT SAS/QC provides

More information

Using Dynamic Data Exchange

Using Dynamic Data Exchange 145 CHAPTER 8 Using Dynamic Data Exchange Overview of Dynamic Data Exchange 145 DDE Syntax within SAS 145 Referencing the DDE External File 146 Determining the DDE Triplet 146 Controlling Another Application

More information

A Hands-On Introduction to SAS Visual Analytics Reporting

A Hands-On Introduction to SAS Visual Analytics Reporting MWSUG 2016 - Paper HW01 A Hands-On Introduction to SAS Visual Analytics Reporting David Foster, Pinnacle Solutions Inc, Indianapolis, IN ABSTRACT This Hands-On work shop will walk through SAS Visual Analytics

More information

Different Methods for Accessing Non-SAS Data to Build and Incrementally Update That Data Warehouse

Different Methods for Accessing Non-SAS Data to Build and Incrementally Update That Data Warehouse Different Methods for Accessing Non-SAS Data to Build and Incrementally Update That Data Warehouse Ben Cochran, The Bedford Group, Raleigh, NC Abstract Often SAS users need to access data from non- SAS

More information

ABSTRACT INTRODUCTION MACRO. Paper RF

ABSTRACT INTRODUCTION MACRO. Paper RF Paper RF-08-2014 Burst Reporting With the Help of PROC SQL Dan Sturgeon, Priority Health, Grand Rapids, Michigan Erica Goodrich, Priority Health, Grand Rapids, Michigan ABSTRACT Many SAS programmers need

More information

PROC MEANS for Disaggregating Statistics in SAS : One Input Data Set and One Output Data Set with Everything You Need

PROC MEANS for Disaggregating Statistics in SAS : One Input Data Set and One Output Data Set with Everything You Need ABSTRACT Paper PO 133 PROC MEANS for Disaggregating Statistics in SAS : One Input Data Set and One Output Data Set with Everything You Need Imelda C. Go, South Carolina Department of Education, Columbia,

More information

Submitting SAS Code On The Side

Submitting SAS Code On The Side ABSTRACT PharmaSUG 2013 - Paper AD24-SAS Submitting SAS Code On The Side Rick Langston, SAS Institute Inc., Cary NC This paper explains the new DOSUBL function and how it can submit SAS code to run "on

More information

How Managers and Executives Can Leverage SAS Enterprise Guide

How Managers and Executives Can Leverage SAS Enterprise Guide Paper 8820-2016 How Managers and Executives Can Leverage SAS Enterprise Guide ABSTRACT Steven First and Jennifer First-Kluge, Systems Seminar Consultants, Inc. SAS Enterprise Guide is an extremely valuable

More information

Essential ODS Techniques for Creating Reports in PDF Patrick Thornton, SRI International, Menlo Park, CA

Essential ODS Techniques for Creating Reports in PDF Patrick Thornton, SRI International, Menlo Park, CA Thornton, S. P. (2006). Essential ODS techniques for creating reports in PDF. Paper presented at the Fourteenth Annual Western Users of the SAS Software Conference, Irvine, CA. Essential ODS Techniques

More information

Using SAS 9.4M5 and the Varchar Data Type to Manage Text Strings Exceeding 32kb

Using SAS 9.4M5 and the Varchar Data Type to Manage Text Strings Exceeding 32kb ABSTRACT Paper 2690-2018 Using SAS 9.4M5 and the Varchar Data Type to Manage Text Strings Exceeding 32kb John Schmitz, Luminare Data LLC Database systems support text fields much longer than the 32kb limit

More information

Top Coding Tips. Neil Merchant Technical Specialist - SAS

Top Coding Tips. Neil Merchant Technical Specialist - SAS Top Coding Tips Neil Merchant Technical Specialist - SAS Bio Work in the ANSWERS team at SAS o Analytics as a Service and Visual Analytics Try before you buy SAS user for 12 years obase SAS and O/S integration

More information

Using PROC REPORT to Cross-Tabulate Multiple Response Items Patrick Thornton, SRI International, Menlo Park, CA

Using PROC REPORT to Cross-Tabulate Multiple Response Items Patrick Thornton, SRI International, Menlo Park, CA Using PROC REPORT to Cross-Tabulate Multiple Response Items Patrick Thornton, SRI International, Menlo Park, CA ABSTRACT This paper describes for an intermediate SAS user the use of PROC REPORT to create

More information

Create Metadata Documentation using ExcelXP

Create Metadata Documentation using ExcelXP Paper AD13 Create Metadata Documentation using ExcelXP Christine Teng, Merck Research Labs, Merck & Co., Inc., Rahway, NJ ABSTRACT The purpose of the metadata documentation is two-fold. First, it facilitates

More information

Statistics, Data Analysis & Econometrics

Statistics, Data Analysis & Econometrics ST009 PROC MI as the Basis for a Macro for the Study of Patterns of Missing Data Carl E. Pierchala, National Highway Traffic Safety Administration, Washington ABSTRACT The study of missing data patterns

More information

Easing into Data Exploration, Reporting, and Analytics Using SAS Enterprise Guide

Easing into Data Exploration, Reporting, and Analytics Using SAS Enterprise Guide Paper 809-2017 Easing into Data Exploration, Reporting, and Analytics Using SAS Enterprise Guide ABSTRACT Marje Fecht, Prowerk Consulting Whether you have been programming in SAS for years, are new to

More information

A Breeze through SAS options to Enter a Zero-filled row Kajal Tahiliani, ICON Clinical Research, Warrington, PA

A Breeze through SAS options to Enter a Zero-filled row Kajal Tahiliani, ICON Clinical Research, Warrington, PA ABSTRACT: A Breeze through SAS options to Enter a Zero-filled row Kajal Tahiliani, ICON Clinical Research, Warrington, PA Programmers often need to summarize data into tables as per template. But study

More information

The Dataset Diet How to transform short and fat into long and thin

The Dataset Diet How to transform short and fat into long and thin Paper TU06 The Dataset Diet How to transform short and fat into long and thin Kathryn Wright, Oxford Pharmaceutical Sciences, UK ABSTRACT What do you do when you are given a dataset with one observation

More information

The Output Bundle: A Solution for a Fully Documented Program Run

The Output Bundle: A Solution for a Fully Documented Program Run Paper AD05 The Output Bundle: A Solution for a Fully Documented Program Run Carl Herremans, MSD (Europe), Inc., Brussels, Belgium ABSTRACT Within a biostatistics department, it is required that each statistical

More information

%Addval: A SAS Macro Which Completes the Cartesian Product of Dataset Observations for All Values of a Selected Set of Variables

%Addval: A SAS Macro Which Completes the Cartesian Product of Dataset Observations for All Values of a Selected Set of Variables %Addval: A SAS Macro Which Completes the Cartesian Product of Dataset Observations for All Values of a Selected Set of Variables Rich Schiefelbein, PRA International, Lenexa, KS ABSTRACT It is often useful

More information

A SAS Macro for Producing Benchmarks for Interpreting School Effect Sizes

A SAS Macro for Producing Benchmarks for Interpreting School Effect Sizes A SAS Macro for Producing Benchmarks for Interpreting School Effect Sizes Brian E. Lawton Curriculum Research & Development Group University of Hawaii at Manoa Honolulu, HI December 2012 Copyright 2012

More information

Useful Tips When Deploying SAS Code in a Production Environment

Useful Tips When Deploying SAS Code in a Production Environment Paper SAS258-2014 Useful Tips When Deploying SAS Code in a Production Environment ABSTRACT Elena Shtern, SAS Institute Inc., Arlington, VA When deploying SAS code into a production environment, a programmer

More information

Using DDE with Microsoft Excel and SAS to Collect Data from Hundreds of Users

Using DDE with Microsoft Excel and SAS to Collect Data from Hundreds of Users Using DDE with Microsoft Excel and SAS to Collect Data from Hundreds of Users Russell Denslow and Yan Li Sodexho Marriott Services, Orlando, FL ABSTRACT A process is demonstrated in this paper to automatically

More information

Survey Design, Distribution & Analysis Software. professional quest. Whitepaper Extracting Data into Microsoft Excel

Survey Design, Distribution & Analysis Software. professional quest. Whitepaper Extracting Data into Microsoft Excel Survey Design, Distribution & Analysis Software professional quest Whitepaper Extracting Data into Microsoft Excel WHITEPAPER Extracting Scoring Data into Microsoft Excel INTRODUCTION... 1 KEY FEATURES

More information

Importing CSV Data to All Character Variables Arthur L. Carpenter California Occidental Consultants, Anchorage, AK

Importing CSV Data to All Character Variables Arthur L. Carpenter California Occidental Consultants, Anchorage, AK PharmaSUG 2017 QT02 Importing CSV Data to All Character Variables Arthur L. Carpenter California Occidental Consultants, Anchorage, AK ABSTRACT Have you ever needed to import data from a CSV file and found

More information

Advanced Visualization using TIBCO Spotfire and SAS

Advanced Visualization using TIBCO Spotfire and SAS PharmaSUG 2018 - Paper DV-04 ABSTRACT Advanced Visualization using TIBCO Spotfire and SAS Ajay Gupta, PPD, Morrisville, USA In Pharmaceuticals/CRO industries, you may receive requests from stakeholders

More information

PDF Multi-Level Bookmarks via SAS

PDF Multi-Level Bookmarks via SAS Paper TS04 PDF Multi-Level Bookmarks via SAS Steve Griffiths, GlaxoSmithKline, Stockley Park, UK ABSTRACT Within the GlaxoSmithKline Oncology team we recently experienced an issue within our patient profile

More information

Macros for Two-Sample Hypothesis Tests Jinson J. Erinjeri, D.K. Shifflet and Associates Ltd., McLean, VA

Macros for Two-Sample Hypothesis Tests Jinson J. Erinjeri, D.K. Shifflet and Associates Ltd., McLean, VA Paper CC-20 Macros for Two-Sample Hypothesis Tests Jinson J. Erinjeri, D.K. Shifflet and Associates Ltd., McLean, VA ABSTRACT Statistical Hypothesis Testing is performed to determine whether enough statistical

More information

Using SAS/SCL to Create Flexible Programs... A Super-Sized Macro Ellen Michaliszyn, College of American Pathologists, Northfield, IL

Using SAS/SCL to Create Flexible Programs... A Super-Sized Macro Ellen Michaliszyn, College of American Pathologists, Northfield, IL Using SAS/SCL to Create Flexible Programs... A Super-Sized Macro Ellen Michaliszyn, College of American Pathologists, Northfield, IL ABSTRACT SAS is a powerful programming language. When you find yourself

More information

MAILMERGE WORD MESSAGES

MAILMERGE WORD MESSAGES MAILMERGE WORD 2007 It is recommended that Excel spreadsheets are used as source files and created with separate columns for each field, e.g. FirstName, LastName, Title, Address1, Address2, City, State,

More information

Accessing Data and Creating Data Structures. SAS Global Certification Webinar Series

Accessing Data and Creating Data Structures. SAS Global Certification Webinar Series Accessing Data and Creating Data Structures SAS Global Certification Webinar Series Accessing Data and Creating Data Structures Becky Gray Certification Exam Developer SAS Global Certification Michele

More information

Dictionary.coumns is your friend while appending or moving data

Dictionary.coumns is your friend while appending or moving data ABSTRACT SESUG Paper CC-41-2017 Dictionary.coumns is your friend while appending or moving data Kiran Venna, Dataspace Inc. Dictionary.columns is a dictionary table, which gives metadata information of

More information

Step through Your DATA Step: Introducing the DATA Step Debugger in SAS Enterprise Guide

Step through Your DATA Step: Introducing the DATA Step Debugger in SAS Enterprise Guide SAS447-2017 Step through Your DATA Step: Introducing the DATA Step Debugger in SAS Enterprise Guide ABSTRACT Joe Flynn, SAS Institute Inc. Have you ever run SAS code with a DATA step and the results are

More information

Demystifying Inherited Programs

Demystifying Inherited Programs Demystifying Inherited Programs Have you ever inherited a program that leaves you scratching your head trying to figure it out? If you have not, chances are that some time in the future you will. While

More information