HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

MWSUG 1991 Papers - Index

67 papers. Source: MWSUG (Midwest SAS Users Group) conference proceedings.

Back to Conf
go 1992
go 1990
# Title
×		 Authors
×		 Abstract
×		 Keywords
×		 Extras Pages
1 A Comparison of PROC GREPLAY and the DATA Step Graphics Interface (DSGI) Lynn M. Thome-Polingo This paper will show the ability to surpass the realm of PROC GREPLAY and to end with the unexpected ability to create customized diagrams with DATA STEP Graphics Interface (DSGI) , to meet the standards of critical viewers. Still, GREPLAY is suited for quick and easy use through its windowing features. The objective of this paper is to explain and illustrate, the differences between these two tools. This way one knows the advantages and limitations to consider when selecting one versus the other as a tool for graphic development. IH'l'RODOC'l'ION: There exist two methods in SAS which allow the user to play back graphs stored in SAS graphics catalogs. These methods are PROC GREPLAY and the DATA STEP Graphics Interface (DSGI) tool. Both proc step, proc greplay 6
2 A Comparison of RS/I and SAS Software in Meeting Information System Development Needs Michael S. Lajiness data science, proc step 7
3 A Flexible System of Reporting Safety Data in Clinical Trials Gregory C. Steffens clinical trial, macro definition, time variable 6
4 A Goal-programming Macro David Sommer proc step, macro conditional 5
5 A Medical Research Management System Using SAS/ASSIST and SAS/FSP Roger Mueller,
Frank Cockerill,
Priscilla Van Grevenhof,
Robert Snyder		 data cleaning, sas base 4
6 A PostScript Macro Library Derek P. Morgan proc step, data step 6
7 A SAS-based System for Generating Complex Tabular Reports James Struthers macro variable, %if-%then-%else, macro definition, data step, sample 6
8 An Introduction to SAS Functions Ronald P. Cody character variable, sysdate9, sas function, numeric functions, date variable, verify, string functions, lag function, proc step 10
9 Are Your Manufacturing and Distribution Systems Optimal? Exploiting Networks to Solve Linear Programming Models Faster Mario G. Lupetin,
Trevor D. Kearney		 proc step, linear programming, network optimization, dataset 6
10 Boostrapping the Kaplan-Meier Difference Equation George W. Pasdirtz bootstrap, proc step, sample, proc calis, response variable, proc lifereg, regression analysis, likelihood function 6
11 Charts that Sizzle: SAS/WC PROC SHEWHART Donald A. Rowe 6
12 Classroom Presentation Techniques L. Jean Ussery The assignment of teaching others is both challenging and exciting. Thera are a number of subtle factors involved in presenting information that can significantly affect your success as an instructor. Obviously, students must pay attention during instruction in order to retam the information presented. The following proven techniques for establishing rapport, observing and interpreting students' reactions, using classroom aids, handling difficult students, dealing w1th various personalities, and fielding questions give you the tools you need to meet any teaching challenge. Whether you teach in a classroom environment or on a one-to-one basis, the tips offered here help you teach effectively and help your trainees assilmilate your information readily. The art of teaching IS not easy, but w1th practice and self-evaluation, you can develop your communication and presentation skills so that your students not only learn from you, but enjoy the experience and rate you a top instructor input statement, options statement 12
13 Comparing PROC SQL to Standard SAS Coding Techniques Howard Levine proc step, proc sql, proc sort, format statement, proc print, data step, proc format, create table 7
14 Comparison of SAS Training Alternatives Steven J. First 3
15 Computer Performance Evaluation for UNIX Robert K. Newman capacity planning, distributed processing, data science, network utilization, usage data 6
16 Consistency Checking of End-User Reponse Times Ronald Croll standard deviation, normal distribution 3
17 Consumer Demand Preference Patterns: Using PROC IML to Forecast Future Demand Daric Brummett,
Lawrence C. Marsh		 neural network, sample, proc iml, proc calis, proc step 5
18 Cut the Key Entry and Contain the Corrections: Automating SAS Systems with OUTPUT and MERGE Features in Macros David J. Ross response variable, predictor variable, proc calis, regression analysis, dataset, macro definition, macro loop, macro facility 4
19 Designing Data Analysis Systems by Integrating PC SAS, Windows 3.0, and Toolbook Kathy Shelley,
Mack Shelley		 regression analysis, proc step 6
20 Effective and Efficient Use of SAS/Graph LeRoy Bessler bar chart, proc step 10
21 Effectively Using the SAS System for Survey Research Kim L. Kolbe proc step, sample, select, dataset, user-defined format, proc freq 5
22 Efficient Programming Revisited: A Review of Performance-enhancing Features in Version 6.06 Frank C. DiIorio,
Paul Dalberth		 cpu time, proc step, numeric variable, where statement, compress=yes, character variable 9
23 Efficient Use of SAS Institute's Technical Support Sally Painter,
Mason B. Nichols		 In order to support tl'le SAS' System etlectiYely 111 your Site. you must be familiar willl tl'le support services ptOYided by SAS Institute. This PIIPII' discusses botl'l types of support IIYaiallle: lalephone support tl'le Onlne Cus- Support Facllty. Utilizing t11ese seMc:es to tl'leir best advarltage wil make on-site support more efllclent. In adclliOn, lnslilute-suppled tOOls and Sll'· vices, sucn as tl'le SAS Notes elate set and the sample library, are disalssed sample, macro facility 3
24 Enhancing the Multipl Match-Merge Solution Bill Horman data step, merge statement 5
25 Everything You Can Do with Strings Rhena Seidman character variable, data step 5
26 FALSEPOS: A Macro for Sensitivity, Specificity, Postive and Negative Predictive Values and Receiver Operating Characteristic (ROC) Curves Alfred J. Anderson interval variable, negative predictive value 6
27 Forecasting Exogenous Variables Using SAS PROC NLIN Galip Feyzioglu,
David L. Wang		 time series analysis, proc nlin 6
28 Generating Thematic Maps with Proportional Shading and Graphical Annotation Larry Hoyle data step, proc step 6
29 Getting More SAS for Your Money Thomas J. Scott 6
30 Getting Started with TIGER: A Tutorial Gary F. Plazyk dataset, set statement 10
31 Home Value - Location, Location, Location: An Application in Real Property Gloval Response Surface Technology Lawrence C. Marsh,
Anthony B. Sindone		 proc reg, nominal variable, regression analysis, proc step 5
32 Installing PC SAS - One on One Bud J. Meador sample 5
33 Introduction to PC SAS Susan Korsman options statement, sas library, sas output 4
34 Library Accounting Applications Using SAS/AF Custom Menus Mark Feddersen sas base, sas output 6
35 Macros for User-Friendly Systems Bob Virgile proc step, dataset, macro facility, proc contents, macro variable, sample, macro loop, macro definition, macro conditional 8
36 Macros Made Simple Eric Webster macro variable, proc step, macro put, macro facility, macro loop, macro definition 6
37 Monte Carlo Analysis of Change Scores David J. Mangen correlation, sample, main effect, regression analysis, parameter, response variable, monte carlo, longitudinal data, proc step 6
38 Post-processing of the SAS Log William E. Adams sas log, missing value, dataset 5
39 PROC PMENU and SCL: Forging the Missing Link for Pull-down Menus in Applications Kernon M. Gibes dataset, proc step 5
40 PROC REPORT: An Introduction to the Batch Language Ray Pass proc report, proc step, proc print, proc means, class variable, sample 10
41 Providing Relatively Simple Access to Complex Public Data Files John G. Blodgett dataset, input statement 4
42 Relational Database Design Theory: An Overview Faith Reneé Sloan relational database, output delivery system 6
43 SAS Efficiency Techniques Steven J. First,
Kim L. Kolbe		 proc step, dataset, proc print, missing value, proc contents, proc sort, sas log, sample, cpu time, elapsed time, flat file, options statement 10
44 SAS Graphics & More - "Black Magic" David M. Wheat proc sql, proc freq 6
45 SAS V6.06 PROC FORMAT: Stored Statically or Dynamically Bill Parman proc format, proc step, dataset, sas library, select, proc print 10
46 SAS-L: An Electronic SAS Discussion Group Nancy Hill macro definition, statistical software 6
47 SAS/ACCESS Software: Something Old, Something New Emily P. Wallace proc step, proc sql 4
48 SAS/GRAPH Techniques for Mapping Points, Lines and Small Areas Mitchell S. Nussbaum proc step, proc gmap 6
49 Starting a Capacity Plan Vickie Custer capacity planning, batch processing 6
50 Support for SAS User Groups: What's Available from SAS Institute Sally A. Roberson For lhe pest lhree years, SAS Institute ha had a formlll pragram for users group davelcpmant and support. We ICtively support groups at lha 10<:111. regional, and illtemattonllllevlf. While lhe lnsti IUta supportS SAS' u-. groups wortdwlde, lhis presentation wil look at our ~am for groups In Norlh Amelfca group by, sas consultant 3
51 Supporting SAS in an Academic Environment Nancy Hill sas consultant, sas library, proc step 5
52 Survival Analysis of Highway Pavements in Illinois James P. Hall survival analysis 4
53 Systems Managed Storage - Getting There is Half the Fun Henry Steinhauer temporary dataset, parallel processing 5
54 The SAS System Configuration Options: Understanding Your CONFIG.SAS File Melody Lichty,
Randy Van Beek		 dataset, error message 6
55 The Stars of TABULATE (Also Commas and Spaces) Pamela J. Plyler proc tabulate, proc step 10
56 The Use of SAS for Developing a Common and Clonable Environment in Support of Research Applications Priscilla Van Grevenhof,
Christopher Chute,
David Ballard		 clinical data, sample 5
57 The View Review: PROC SQL Views, SAS/ACCESS Views, and DATA Step Views Andrew A. Norton proc sql, where statement, proc step, dataset, view, by group processing 6
58 Using "Fabricated" History to Plan Inventory in a Volatile Environment Michael Gilliland,
John LaBella		 batch job, cpu time 5
59 Using Analysis of Variance to Analyze Toxicology Data Peggy T. Konopacki,
George W. Pasdirtz		 sample, response variable, anova, proc glm, proc step, proc genmod, normal distribution, dose, sample size 6
60 Using PC SAS/ASSIST for Statistical Analysis Margaret A. Nemeth correlation, confidence interval, regression analysis 6
61 Using SAS Arrays Eric Webster variable list, data step, proc step 6
62 Using SAS Macros to Produce Customized Reports Jim Plaxco macro definition, macro variable, macro loop, %if-%then-%else 6
63 Using SAS to Process TIGER Line Files John G. Blodgett proc step, dataset, sample 6
64 Using the Annotate Facility with Maps: A Tutorial Gary F. Plazyk dataset, sample 9
65 Using the GOPTIONS Statements for PC SAS Graphic Devices Randy Van Beek title statement, options statement 5
66 Using the SAS BMDP and SPSS Interface Engines under VMS Barbara B. Okerson This tutorial discusses the function and usaqe of the BMDP and SPSS enqines under version 6. 0 6 of SAS usinq the VMS operating system. The paper beqins with an overview of the SAS Multiple Engine Architecture and the differences between interface and native engines. This is followed by detailed looks at the SPSS and BHDP enqines with examples for read-only access to SPSS and BMDP system files, and conversion to permanent SAS data sets. All code used is included dataset, character variable 4
67 Warmware to Go along with the SAS System: The SAS Users Groups Donalee Wanna,
Susan Korsman		 SAS Institute has supported the formation of SAS Users Groups at many different levels -- Special Interest Groups, In-House Groups, Local Groups, and Regional Groups. This is what we will be calling the warmware that goes with the SAS System. This paper will highlight the following: 1 . Purpose And Types Of Users Groups; 2. Starting Users Groups- A Step By Step Process: 3. Keeping The Group Going; 4. The Benefits; and 5. Support from SAS Institute 9

Back to Conf go 1992 go 1990

This site serves as a convenient hosting location and does not work as a publisher. All copyrights belong to their respective owners.

The information on this site is provided for general reference purposes only. Whilst every effort is made to ensure that the site is up to date and accurate, no warrant, nor any responsibility or liability for, the accuracy or completeness of the content or for any loss which may arise from reliance on information contained in this site is provided. Links to other sites are provided for your convenience but no responsibility or liability for the content of those sites or of any external site which links to this site is accepted. References to any specific commercial product, process, service, or corporation are also for information only, and do not constitute endorsement, recommendation or favoring.

SAS is a registered trademark of SAS Institute Inc. SAS, Statistical Analysis System, and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration.