SEUGI 1983 Papers - Index

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

go 1984

#	Title ×	Authors ×	Abstract ×	Keywords ×	Pages
1	A User's Experience of SAS/FSP	Bill Dew		dataset, data step	10
2	A Very Friendly Front-End to SAS	Robert Marcus		sas library, macro definition	9
3	Analysis of Survey Data from a Soda Ash Lake	Gordon Thackray		sample, standard deviation, proc step, regression analysis	6
4	Archival Storage of SAS Files	Karsten Boye Rasmussen	This paper describes the standards used by the Danish Data Archives in establishing a social science data bank containing data files (e.g. questionnaire/survey data files) and how SAS is used as a tool in the processing of the files. When it comes to meeting the standards, SAS is shown insufficient and the paper describes how this problem is presently solved (by SAS) and how it may be solved by new SAS procedures. Karsten Boye Rasmussen, Danish Data Archives Odense University, Niels Bohrs Alle 25 DK-5230 Odense M. + 45 9 15 79 20 213 ------------------ --------------_._	dataset, data wrangling, proc step, numeric variable, missing value	8
5	Capacity Planning using Capture/MVS, Best/1 and SAS	Robert Ashton		capacity planning, model validation	4
6	Capacity Planning Using SAS	Brian Long		capacity planning, put statement	15
7	Cluster Analysis - Procedures in SAS and other Statistical Packages	Detlef Steinhausen	In this paper tasks and aims of cluster analysis are described. A survey of the steps to be carried out,of the distance mea sures and often used cluster analysis algorithms is given. Cluster analysis procedures in SAS and other packages are dis cussed. (Status 1983) 1. Cluster Analysis Problems Cluster analysis is a generic term for several approaches in multivariated data analysis, the aim of which is to classify large sets of objects (cases, persons . ) into classes (groups, subsets . ) of similar objects. The similarities (distances) between the objects will be calculated from information given by the variables. There are many applications in various dis ciplines and therefore the publications to this topic, which are just increasing, are wide spread. A summary is found in /3, 8, 9, 1, 5/, where the mathematical and statistical pro blems are described in detail	cluster analysis, proc cluster, distance measure	9
8	CMS/SAS VS. VMAP at General Accident	Robert Davidson	General Accident had been using VMAP for just over a year when SAS 79.6 was announced. VMAP had proved adequate when used for "passive" monitor ing, but in August, 1982 we tried to use it to do some forecasts, and found its limitations. The CPE code distributed with eMS/SAS 79.6 allowed us to replace VMAP with little trouble, and we justified acquiring C~S/SAS on that basis alone (we already had SAS under MVS, and used the Merrill code for SMF analysis) Since switching to SAS, we have made few changes to the basic code supplied but add-ons to produce trends, forecasts etc., are now easy. Hardware/Software Configuration 3033 (N8) under MVS/SP 1.3 3031 (8Mb) under VM/SP. 8100 distributed network VM/SP Configuration OVer 200 USERIDs Around 110 logged-on users: Edit and submit for Programming. Data dictionary for Applications and Data Analysis. Ramis for end-users. APL for Stats Secti.on. * DCF for human report generators	raw data, dataset	3
9	Computer Performance of the Corporation of Lloyds	Alan Stockey		capacity planning, proc step	8
10	GLMOUT - A SAS Program to Read PROC GLM Output	A. Eastwood, D. A. Budgett		least squares mean, degrees of freedom, anova, proc glm, class variable, proc genmod, proc step, response variable, standard deviation	7
11	Graphical Methods and Regression Diagnostics	Thore Langeland	A data set analysed by several oil companies is reviewed by applying recently developed regression diagnostics. Due to differing opinions among the oil companies concerning the choice of regression line, this problem is addressed first. The linearity assumption of the response and the independent variable is checked by smoothing the scatterplot using robust locally weighted regression. After removing some data points, the remaining data set is discussed in greater detail using a wide variety of diagnostic techniques, such as plots of leverage points, studentized residuals, partial regression, partial residuals etc. In this study we have found the SAS'program package to be an extremely convenient tool and the complete analysis is performed simply by use of the procedures `PROC` ~1ATRIX and `PROC GPLOT`. I Introduction Simple and multiple regression analysis are commonly used by oil companies in the evaluation of the reservoirs	regression analysis, predictor variable, proc step	21
12	Implementation of Graphics at Statoil	Halvor Fottland			6
13	Multivariate Data Analysis Library: "French Methods" SYSPAD	Jean-Michel Gautier		proc step, dendrogram, proc princomp, proc corresp, data science	6
14	MVS SMF: SE2 and Onwards	David R. Boast, John M. McCann	One of the more popular uses of SAS in recent years has been the processing of SMF based information for performance management and capacity planning. However, the format and content of Sf.1F' data has been continually changing. Thi s paper attempts to identify those changes that have occurred from MVS/SE2 through t-1VS/SP1.3 with ,respect to processing considerations and information interpretation. 1:ntroduction The content of MVS SMF data has heen continually changing with various rele~ses of MVS, associated Program Products, and APARs and PTFs. This paper attempts to identify those changes for the people who are writing programs to process the Sf'.1F records. Even though a program may be wri tten for the particular level of Sr-~F that is currently being produced in an installation, a common requirement of long term planning is the processing of extensive amounts of histo rical information, usually data that \-"as produced under previous levels of SHF	audit trail, transaction data	14
15	Repertory Grid Analysis using SAS	Henry Wynn, Mark Elliott, Sema Cemal		sample, proc step, proc princomp, correlation, anova	17
16	SAS Analysis of RSCS Accounting	A. P. J. Logley	Extra VM accounting records were cut by the RSCS spool file manager when a spool file was opened as well as when it was closed. VM accounting records were also cut when a task started and ended. The information provided by these was analysed by PL/1 to produce standard VMAP ACUM files. Both the print files and the files of VM accounting records were analysed using SAS to produce workload and timing statistics for the RSCS workstations. 144	dataset, sample	19
17	SAS Applied to Statistical Databanks via a Command Language	Inger Nilsson	This paper describes how a command language, DC-TIME Series Management S~stem, Is used as an Interface to SAS, the aim being to give eas~ access to time series In a large databank to a great varlet~ of users ranging from those Just In need for the data to the ones requiring an anal~sis tool like SASe	time series analysis, dataset, macro definition, data science, proc step, histogram	6
18	SAS as a User Friendly End User System	Tonny Dierckx		bar chart, horizontal bar chart	13
19	SAS as part of a Marketing Information System	Peter Buete		time series analysis, data wrangling, regression analysis	16
20	SAS Without Knowing You Are Using It	Alan Oliver, Martin F. Michael		proc step, dataset	18
21	Social Science Research and Statistical Packages	Mogens Weinreich		data science, proc step, dataset, proc freq	18
22	Systlog Analysis Using SAS	A. J. Bright, J. A. Iles	The MVS System Log - SYSLOG - is a relatively untapped source of potentially useful data. As part of a Project to study computer operationsJ SySLOG was analysed using SAS with a view to quantifying the console message traffic, and possibly reducing the number of 'unnecessary' messages sent to the master console. Some results of this investigation will be presented. 119 i l"	batch job, dataset	11
23	The GUEST System	Nahum Ben-Porath		dataset, proc step	13
24	The Information Centre in Rolls Royce	Alan Kirkby		data science, format statement	4
25	The Value of SAS to an Information Centre	Richard Brown	V A L U E o F S A S T 0 AN I N FOR MAT ION C E N T R E Richard Brawn, Legal & General This talk will cancentrate an the key rale that SAS can play in the successful aperatian af a data processing Infarmatian Centre. Aspects cavered will ,include: The classic 'praductivity triangle' in system develapment The advantages af SAS fram an Informatian Centre standpaint Introducing new users to. SAS Ideal 'starter' applicatians Hand-halding training an pilat applicatians The beneficial 'rub an' effect af a highly praductive taal The pivatal impartance af the Full Screen Product Using SAS to. unravel DL/l hierarchies and ather such related tapics. Reference thraughaut will be made to. the types af applicatians currently being develaped under SAS by user department persannel at Legal and General Assurance	natural key, management reporting	5
26	Two Macros for non-parametric tests on related samples using PROC MATRIX	John Church		sample, parametric test	4
27	Use of SAS Regression Techniques for Capacity Planning	E. M. McCall		proc step, correlation, proc reg, capacity planning, dataset, out=, regression analysis	9
28	Using SAS to Perform Discounted Cash Flow Analysis	Alan J. Knight		data wrangling, interest rate	11
29	VM Accounting	Peter Bailey		dataset, batch job	6

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