HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

SEUGI 1987 Papers - Index

53 papers. Source: SEUGI (SAS European Users Group International) conference proceedings.

Back to Conf
go 1988
go 1986
# Title
×		 Authors
×		 Abstract
×		 Keywords
×		 Extras Pages
1 A General Application for the Optimisation of Data Analysis Gerhard Hugues Facing a sharp increase concerning the variety and volume of data manipulated within a corporation, AR.R.I.S. has developped an overall strategy aimed to increase productiVIty while complying with the following objectives - creating a set of prOcessing tools independent from specific data - insuring data integrity - obtaining results of the utmost quality In order to realize these objectives, four major principles have been used - a unique universe (SYSTEM SAS) - the data dictionary (defining each item) - a specificity for each task (macro-language) - the logical integration of these tasks The concept developed by A.R.R.I.S., AS.S.E.T., is currently used within clinical trial analysis and has produced significant results in terms of productivity and workload scheduling. It will be explained and illustrated in detail, with examples extracted from clinical trial analysis, using the SYSTEM SAS clinical trial, data dictionary, quality control, dataset, data science source 5
2 A Macro for Weighted Moving Averages Leena Metso moving average, time series analysis, out= source 4
3 A Menu-Driven CPE Reporting Application (The CPE Starter Set) Allan Russell The reporting of Computer Performance has been extended in recent years from large detailed . reports which were mainly aimed at highly-skilled technical staff to encompass higher level reports which were directed at Data Centre and Corporate management. The use of Graphics has played an important role in this transformation. This paper describes an example system which can be used to provide managers with a method of producing Graphical and non-Graphical reports bar chart, macro variable, proc step source 11
4 A PROC TABULATE Tutorial Georg Morsing proc tabulate, proc step, proc format, class variable source 13
5 A Statistical Look at Risk Factors for Coronary Heart Disease David J. Shannon The overall aim of this presentation is to show how an applied statistician can explore a problem using the techniques available in SAS and SAS/GRAPH. The problem of considering an individual's risk of getting Coronary Heart Disease (CHD) as defined by a derived equation was followed through from theoretical considerations to an application to clinical trials. This application showed that one drug was likely to be more favourable than another from the viewpoint of reducing the risk of getting CHD clinical trial, proc step, binary variable, logistic distribution, regression analysis, data science source 15
6 An Introduction to SAS/DB2 and SAS/SQL-DS Software Emily P. Wallace proc step, where statement, proc sql source 5
7 An On-Line Performance Reporting System Using SAS/DMI Software Jim Thomason dataset, batch job source 6
8 Combining SAS Software and SYSTEM 2000 DMS in the DP Shop Catherine Lavery SYSTEM 2000 Data Management Software excels in the produc tion data processing world 01 entry, retrieval, integrated applica tions development, and data management. The SAS System oilers tremendous varsatility in data extraction, analysis, and pre sentation. The complementary nature 01 these two SAS Institute product lines is exemplified through day-to-day management activities 01 Garcia Truck Leasing Company officials. Some mar keting and accounting problems are addressed by company man agers with the aid 01 these software products. Gerry Garcia started Garcia Truck Leasing Company in t9n. He specializes in medium-sized truCks (10 to 22leet in length) that pull trailers. The home office is in New York. The business has grown Into a nationwide enterprise with qffices in five regions. The company grosses about $9.6 million annually and is working hard to anhance ~s return on a considerable investment in trucks and service centars proc step, dataset, proc freq, proc tabulate source 6
9 Communicative and Psychological Aspects of Graphics Peter Blitz bar chart, output delivery system source 34
10 Customisation of a SAS Application Danielle Grange From an existing large SAS application, we put forward a method of developing new similar but customized applications. This method would create a fully parametrized application which would then automatically generate SAS customized BATCH programs in addition to SAS/AF programs and screens. The method was applied to a stock management which has about 9000 SAS basic and macro statements and 30 SAS/AF screens if-then-else, macro definition source 12
11 Designing a Menudriven Application in the PC SAS SYSTEM Inger Krogstadt macro variable, class variable source 6
12 Economically Active Population Estimates and Projections, 1950-2025 B. Binesh Aghevli,
C. Gerlier		 In 1985 the ILO Bureau of Statistics published for the third time estimations and projections of the economically active population (labour force) for all countries, regions and continents. The estimations covered the period"" 1950-1980 and consisted of data on population, labour force and economic activity rates by sex. and age group, and on labour force and economic activity (participation) rates in agriculture, industry and services by sex. The projections covered the period 1985-2025 and consisted of data on population, labour force and economic activity rates by sex and age group. This new edition covered a longer time period and incorporated more detailed age groups. For its implementation a computerised system based on SAS was developed. The purpose of this paper is to describe and document the SAS system that was used macro definition, moving average, regression analysis, libname statement, macro facility, imputation, macro loop source 16
13 Effective Use of SAS Software In a Large-Scale Sample Survey Risto Lehtonen sample, proc step, data science, proc freq, statistical software, data governance source 15
14 Efficiency and Performance Considerations for the SAS System under PC DOS Gordon W. Davis,
Scott S. Sweetland		 This paper is designed as a tutorial for programmers who desire to imyrove the performance of their PC SAS app11cations on ~h~rer;';-J'ere~laJis~~~~oc~~frt"a\sd· th~~e a'!.t~ti~~~ facing the decision of upgrading their current machines or buy inK new ones. A variety or microcomputer configurations and hardware enhancements w1ll be explored that greatly decrease execution times of the SAS system. Tips will be provided for maintaining the microcomputers, with ~articular attention given to fixed disks. We w1ll then look at the PC SAS system environment: how to customize the system for ease of. use and how to manage mlcrocomputer resources such as memory and disk space. Finally, we will discuss some efficiency considerations for SAS statements used in the DATA STEP. Efficiency will be judged in terms of both execution time and- economy of disk space by group processing, if-then-else, numeric variable, proc freq, dataset, decimal, libname statement, proc step, sas log, input statement source 9
15 Enhancements to Micro-Host Link Daniel Delorge The micro-to-host link, part of the base SAS(i)System under PC DOS, can be used for remote SAS processing and for transferrin, files be tween a microcomputer and a host computer. This paper focuses on recent enhancements to the SAS link facility, includinc external file and catalog transfer, new simple scripts, addition.1 script commands, and an asynchronous terminal emulator. Support for new communications CARDS and foreign keyboards is also mentioned briefly. Finally, II ref erences section is included that describes .U available documentation on the link proc step, catalog, libname statement, proc download, proc upload, sas log, sas base, standard deviation, sample, elapsed time source 8
16 Enhancements to SAS/AF Software for the PC Deva Kuma SASI AF software for personal computers combines a powerful programming language with the ability to easily create customized menu driven applications for end users. This paper introduces the new concepts in Version 6 SASI AF software, including new options in the BUILD procedure statement, the panels that make up an entry, the program screen language, and conversion of applications developed with Version 5 SAS/AF software to Version 6 format dataset, proc step source 5
17 Enhancements to the SAS Text Editor and SAS/FSP Software on the PC Allan Russell source 4
18 F-G Diagonalisation Using PROC MATRIX and Macro Language Marco Vaccari covariance, proc step, macro definition, correlation, sample, proc princomp, macro facility, macro variable, dataset, %if-%then-%else source 14
19 Factor Analysis An Annotated Example Marcus Schmidt This paper deals with some of those problems and tries to show some ways to evaluate the sensitivity of the factor structure. The authors show the effect of a replication study, the use of Catells Scree Test, Bart lett's spherity Test and the Jackknife Technique. Implications for marketers are discussed sample, factor analysis, scree plot, sample size, correlation, degrees of freedom source 23
20 From Information Retrieval to Knowledge Based System A. Utlsch Information retrieval systems are used to search for specific infor mation out of a great number of stored items. Such systems are usually designed for many users. With the advent of powerful workstations however, it is feasible to realize personal systems. A personal information retrieval system, that alows only online retrie val of documents, is unlikely to be used, since the effort to store the documents exceeds the benefit of having rapid access to one's own document collection. Scientists working in particular areas get insights, they find worth wile to keep track of. Some of these insights is knowlede about the objects of the working domain and can be represented as facts and rules that descibe the object's properties. Knowledge based systems claim to be able to represent such knowledge and to draw conclu sions from it In this paper the concepts of a knowledge based information retrieval system are presented hash table, lookup source 10
21 Host/Mainframe Integration Using the SAS System Phil Lucas dataset, proc step, missing value, libname statement, proc upload source 12
22 How to Hot Rod Your PC Steve Morton source 6
23 How to Transfer Your Mainframe-SAS Dataset into Your Lotus 1-2-3 Spreadsheet or dBASE III-Database D. H. Dewitz proc step, dataset source 7
24 Improvements in SAS System Performance Under VMS Steve Morton proc step, sample source 4
25 Introduction to SAS/DMI Software Georg Morsing sysrc, variable, sample, proc step, macro variable source 5
26 Matrix Generation Using SAS Software Gerhard Held macro variable, linear programming, proc step, dataset source 9
27 Multipurpose Analysis of Your Global I/O Configurations (MAGIC) Tonny Dierckx source 13
28 New CBT Features in SAS/AF Software for the PC Georg Morsing proc freq, macro variable source 5
29 New Measurement Data Sources for MVS/XA and Its Subsystems H. W. Barry Merrill New Measurement Data Sources For MVS X/A and Its Subsystems H. W. Barry Merrill, PhD President-Programmer Merrill Consultants Dallas, Texas 75229 Since MVS/XA 2.1.0 became available in 1984, IBM has made significant changes in MVS/XA software and hardware architecture. New data exist to measure and manage these enhancements. SMF/RMF measurement of the vector processor, extended storage and the 3090 I/O processing enhancements will be discussed Additional enhancements and the incompatible changes that have been announced in MVS/XA 2.2.1 will be described. This paper is extracted from Merrill's Expanded Guide Supplement, published by SAS Institute in 1987, and examples use the names of SAS System variables and data sets as built by the MXG Software cpu time, capacity planning, group by, sample source 28
30 Numeric Precision Considerations When Using the SAS System Carlo Grandi decimal, missing value, length statement, pdv, proc step source 6
31 OS SAS Installation Performance Tuning Considerations Eric C. Brinsfield When you Install the SAS. System under OS. you must set many system options and choose saveral installation options. This paper discusses the Implications of the8a choioes and suggests some tuning techniques that ooutd be used at your site. The paper also addresses some oommon problems enoounterad by Installation raprasentatlves over the past yaar options statement, cpu time, proc step, macro facility source 6
32 Peep - An On-Line Monitoring Tool Using the SAS System Jorgen Lund source 11
33 Replacing an Old Minicomputer System with a Micro-Mainframe Solutiong Using the SAS System Aale Roos data cleaning, data wrangling source 4
34 Rocheford Research on Creating a Human Environment for On-Line Research Tools L.K. J. van Romunde ROCHEFORT is a research project with the aim to develop an integrated and intelligent information system with the following topics: 1] a genera.. interface between relational database management systems (RDBMSs) and statistical packages 2] exploiting the strength of both by allowing - the RDBMS to manipulate the data - the statistical package for statistical analyses 3] with features for transformation on data structures, calculations and aggregation of data 4] and easy automatic syntax generation (statistical command file and job control language) 5] offering an unified user front end 6] storing all relevant information and knowledge in a database. This concept will offer expert system capabilities in the future. The first prototype is developed by means of the Structured Query Language (SQL) based RDBMS ORACLE and will interface to the SAS package. Initial implementation has been on a Digital VAX under VMS, but portability is foreseen. 527 relational database, proc sql, data integrity, select, proc freq source 15
35 SAS Prototype Applications Bringing Power to the End User Jost Dorken proc step, sas base source 3
36 SAS System Interfaces to Data Base Management Systems Catherine Lavery proc step, dataset source 4
37 SAS System to IDMS/R Interface Emily P. Wallace This paper is designed to provide an overview of the current development being done on an interface between the SAS" Sys tem and IDMS/R!" The paper is geared to experienced SAS users who understand the concept of a data base and are familiar with IDMS/R. IDMS/R is Cullinet Software, Inc.'s data base management sys tem (DBMS). It runs under OS, DOSfVSE and CMS operating sys tems. IDMS/R has both network and ralational capabilities. The date bases are controlled by IDD:" the Integrated Data Dictionary. The interface between IDMS/R and the SAS System is being developed because of the interest exprassed by both SAS and IDMS/R users. We have raceived numerous letters, phone calls, and verbal requests from customers. The interface was a very highly requested item on our SASware Ballo~ Let's teke a look first at the network capabilities of IDMS/R. To begin with,let's define a set. A set is a relationship esteblished between two or more record types dataset, format statement source 2
38 SAS/SHARE Software Overview and Features Jack Wallace proc step, sas library, dataset, proc copy, sas programmer, sas log, by group processing source 6
39 Si Movit, SAS it (If it Moves, SAS it) Bruce Bovill proc step, cpu time source 15
40 Some Methods in Multivariate Exploratory Data Analysis Warren F. Kuhfeld SAS Institute is funding a software research and development project at UNC~ wh i ch has deve I c.ped : PROC I DPLOT , version 5, released; the PRINQUAL macro (principal components of qualitative data), version 5, released; PROC's PRINQUAL and CORRESP (correspondence analysis), versic.n 6.02. released for preliminary testing; and VISUALS (dynamic hyperdimensional graphics), a stand-alone program available for testing. An additional experimental version 6 procedure, TRANSREG (transformation regression), will be available for testing soon. Two more procedures PROC's PROXSCAL (multidimensional scaling) and COSAN (covariance structure analysis) are in the initial stages of dev~lopment. This paper focuses on the design and function of PROC's TRANSREG, PRINQUAL and CORRESP proc cancorr, correlation source 11
41 Techniques for Using SAS/AF Software More Efficiently Annette T. Harris System _s and eoItwalll.,. just a '-of ilia f8ctIn tIIat Impact dllcilions regarding ~ of new appIIoaIIaIlI. You IIhOuId taka * cIoaar lOok at ilia apacItIcI of SAS/AP aoft ware In ordIIr 110 anIIcIpa\II and plan for boIh ,... and problems thaI may ...... In a new~. You lhould coneId8r awry CIat8II, _ ilia harIIwaIII tIIat will be used. How much doH SAS/AF aoftware ~ IIIOUt lllalllnni nelS thaI .,. uaad? The configuration of ilia _ II atDnId ·wIth ilia _, /MII1Ing tIIat I _ crNIMI on a 3D X ,. configuration could not currantly be dilfllaYad ona 24 x 10 c0nfig uration. AIIIo, H you want 110 taka advlln18g1 of colora and other hlghliglltlng attributes, ilia IIImIInII and a.1IOmIzatIon of your controller .,. Important. If your lIImIinal Is capable of using ilia extended hlglIlIghting attributes but Is not using IhIIm you may want 110 cIIeck Item Number 110 In ilia cua1IOmIzation of your control unit proc step, macro variable source 4
42 The PC SAS System in a Laboratory Environment Jan Ruud Hansen,
Tore Kaasen		 A tool for data management, analysis and reporting was needed in a laboratory for chemical analyses of soil and plants. The aim was to instruments to design. build a complete system r,eporting and invoicing. from It the automatic logging of was decided to go for a LAN Initially we intended to use SAS only for the analysis part. However, the tool originally tested in the administrative part of the system did not fulfill its promises in the network, and SAS was used instead. By having the common SAS datasets on the server, an acceptable solution was found. A drawback in this kind of system is the lack of a fully implemented macro language on the PC (or SAS/AF for that matter). The use of standard windows and the possibility of creating special purpose windows can solve some of the problems. We hope to see these shortcomings disappear in future relea~es. Also, the ability to read data directly from ~he instruments would be appreciated sample, adam dataset, macro facility source 7
43 The SAS System for Decision Support Mogens Weinreich dataset, integer programming, mixed integer programming, linear programming source 31
44 The Wild Side of ANNOTATE Facility Bernie Ruane proc step, missing value source 16
45 Tuning the SAS System under CMS Daniel Delorge production run, options statement source 9
46 Tuning Tools for SYSTEM 2000 DMS Multi-User Software Catherine Lavery This paper presents some of the tools that the SYSTEH 2000 Technical Support Department in Austin, Texas uses when analyzing SYSTEM 2000 performance problems reported by their customers. These tools were developed from other software products that they had available, primarily from SAS software, with the twin goals of ease of use and convenient reporting formats. Often in looking at a customer's performance problem the question arose' Is this event happe' .. '"'c (,ustomer's site?' These tools help ans~.er that type of question. The process of tuning " SYSTEH 2000 system, particularly one that includes Hulti-User software, usua.lly has three phases: Collection, AnalysiS, and Modification. ~Iost of the tools discussed here will address the Analysis phase. In this phase the goal is to find the limiting factor in running a SYSTEM 2000 transaction. This is determined by studying how the transaction uses the resources available source 28
47 Tutorial on MACRO Internals Processing Bernie Ruane Once the basic concepts have been .astered. understanding the internals is the next logical step to enhancing your knowledge of the SASII lIacro Facility. This tutorial addresses the internals by identifying the components of the .. acro processor. illustrating their relationships with each other and their interactions with the SAS supervisor. and examining how a macro program is processed. lIajor components include the input stack, wordscanner, word queue, macro compiler, macro executer, symbolic substituter and open code handler. Special topics in .. acro procE'ssing include the performing of symbolic substitution, resolution, evaluation, quoting and unquoting. and autocall processing proc step, macro facility source 6
48 Tutorial on PROC REG Gerhard Held proc reg, regression analysis, proc step, estimate, anova, outlier, response variable, multicollinearity, binary variable, predictor variable, condition index source 39
49 Using New Features of Release 11.5 of SYSTEM 2000 DMS Catherine Lavery This paper briefly discusses Release 11.5 c' SYSTEM 20001' DBMS for IBM mainframes operating under OS and CMS environments. The topics covered include user- requested enhancements that were implemented in part due to recent SASware Ballot results, Genius enhancements that affect the interactive report generator, and operating system specific enhancements source 3
50 Using SAS/GRAPH Software with a Protocol Converter Allan Russell batch job, proc step source 6
51 Using SAS/IML and SAS/ETS Software to Analyse Econometric Input/Output Tables Colin Murray proc step, dataset source 15
52 Using the SAS/GRAPH Software Interface to GDDM Daniel Delorge This tutDrlal is for thoee .... ra who .... the SAS/GRAPH" 110ft were Int8rface to IBM's GOOM (ar.phiCal Data Display Manager) product. BAS/GRAPH software provides a lilt of device drMrs that UN GOOM routines to display grephlca on IIIrmInaIs and to produce hardcopy graphlca output on printers and plotters. This tutDrlal covers the following 18CIIons error message, cpu time source 6
53 Visual Explanatory Data Analysis Forrest W. Young PROC VISUALS is designed to help you visually discover and formulate hypotheses about structure in multivariate data. PROC VISUALS does this by constructing a window into your multivariate data. Through the window you see a three-dimensional (3D) cloud of objects which represent your multivariate observa tions. You can smoothly spin this cloud in order to better understand its 3D structure. You can also move the window throughout the high-dimensional (hD) space, giving you insight into your data's hD 'struc ture. You do not use numbers, equations, or programming statements to control PROC VISUALS. Rather, you use single key-stroke, highly interactive commands. In addition to introducing PROC VISUALS, we review previous visual exploratory data analysis techniques, and we suggest future directions proc step, proc princomp, exploratory data analysis, data science, data analyst source 11

Back to Conf go 1988 go 1986

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.