SEUGI 1984 Papers - Index

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

#	Title ×	Authors ×	Abstract ×	Keywords ×	Extras	Pages
1	A Procedure for Creating Table Look-Up Functions from SAS Data Sets	A. D. Forbes		dataset, proc step, missing value, sas function, proc format, format statement	source	5
2	A Statistical Analysis of CPU Overhead Factors	Alan J. Knight, Richard Alexander		cpu time, data science	source	24
3	A Workload Analysis and Forecasting Study	Carlo Grandi		data science, regression analysis	source	25
4	An ISPF Interface for CMS/SAS	Simon Holmgaard		proc print, proc step	source	6
5	Basing an Economic Information System on SAS	Martin Harnqvist		time series analysis, time series data, date variable, macro facility	source	7
6	Being a SAS End-User	Carl Wells	A description of some of the achievements and problems that this end-user has faced in an attempt to get "Sufficieht understanding of SAS to produce results that satisfy his needs. This paper sets out to explain some of the difficulties that face the end-user in the quest for an end result achieved in an acceptable time scale. Whilst these are the experiences of one person we think that they are sufficiently general to be of constructive use in other situations. 1. EDUCATION "If I was going there I wouldn't be starting from here' from Ireland Mr. Gerry Weinberg, a computer consultant from Nebraska, wrote an article entitled "The 'right' answer may not solve your problem". He explained for analysts the many pitfalls in communications with end-users. Effective analysis is limited by the amount of useful information that can be extracted from the end-user. There is a tendency for the analyst to be given information that the end-user considers important rather than the whole story		source	4
7	Education of Non-Experienced End-Users	Peter Arklint		proc step, proc print	source	8
8	Effective Use of SAS	Mogens Weinreich		proc step, proc freq, character variable, proc print, big data, elapsed time	source	11
9	Implementing Shift Rosters	Dick te Winkel, Erik W. Tilanus		proc step, proc transpose	source	4
10	Interfacing SASGRAPH with Graphics Hardware Part A & B	Philip J. Winters, Steve Morton		batch job, sample	source	13
11	Macro and Principal Component Analysis	Gerard Hatabian		%if-%then-%else, proc step, proc freq, proc princomp, macro loop, macro definition	source	34
12	Macros for Clustering Large Data Sets when the Number of Clusters is Unknown	B. Gerardin, J. L. Molliere		proc step, proc fastclus, proc cluster	source	22
13	New SAS/GRAPH Features	Alan Russell		sample, proc step, dataset, missing value	source	11
14	New Statistical Features in SAS	Gerhard Held	The purpose of this paper is to introduce the new procedures and enhancements in the statistical domain of SAS. We will concentrate on the major items, state the availability of the features dis cussed, and will give examples if feasible. Major new features we want to discuss are new statistical macros, enhancements for analysis of repeated measurement models, two new procedures for survival analysis, and several enhancements in the `SAS/ETS` product. 1. Statistical Macros The %PRINQUAL macro performs principal components analysis of data that contain qualitative and/or quantitative variables. Each variable may be at one of three measurement levels: nominal (cate gorical), ordinal, or interval. There are no restrictions on the mixture of levels; any variable may be at any level. %PRINQUAL transforms each variable so that the percentage of variance accounted for by a user-stated number of principal components (of the transformed variables) is maximized	anova, repeated measures, proc step, response variable, repeated measures anova, time series analysis, dataset, regression analysis, confidence interval, predictor variable, likelihood function, proc glm, missing value, moving average, estimate, rank test, survival analysis, correlation, conjoint analysis, residual, hazard function, maximum likelihood estimation, proc model, univariate analysis, proc genmod, sample, numeric variable, data science, monte carlo, proc princomp, nominal variable, proc freq	source	13
15	Optimization of the Energy Resources at Ciba-Geigy	D. Randazzo			source	9
16	Personal Computing - SAS or the Micro	Gordon Walker	This paper reflects a personal view of the decision process with regard to software choice for personal computing at our installation. Historically personal computing at Legal & General was restricted to APL and its related products ADRS and ADI and a report writing utility CULPRIT. This situation existed for about 3 years prior to the introduction of SASe Growth in the use of SAS was phenomenal - from 3 users in machine statistics 2 years ago to 100 plus users currently. SAS is now even used by our professional programmers as an easy to use, quick to develop software tool. In this space of time SAS had become the personal computing user tool and had established a reputation for its ease of use and range of available facilities. APL retained only a few particularly numerate users	data governance, production run	source	3
17	Progression of Chronic Renal Failure	M. Strauch, N. Gretz	Gretz,N. and Strauch, M. Clinic of Nephrology, Klinikum Mannheim, University of Heidelberg, Mannheim, FRG. Various kidney diseases lead to terminal renal failure. Some of these diseases seem to have a specific progression rate. Enormous difficulties, however, exist in analyzing progression rates. This is due to different starting points of the observation periods of the individual patients: some patients were seen early in the course of the disease, some late. Another problem results from the number of measurements of renal function per patient and unit of time. An approach is presented for calculating the median course of a disease after redefining the starting point of the observation period. Our macro plots the original data set, the overlaid individual courses after redefining their zeropoint and their median course. Furthermore the data of the median course are printed. The following SAS procedures were employed: GU·'!, `GPLOT`, GPRINT, PRINT, PRINTTO, REG, UNIVARIATE	proc step, raw data, macro definition, regression analysis	source	8
18	Report-Quality Tables with SAS	E. Placa, G. Stein, P. Smith		variable, proc means, title statement, format statement, proc step, proc format, proc freq	source	11
19	SAS Contribution to an Inventory Management System Based on COPICS/DL1	Bernard S. Wuillaume		phase i, phase ii	source	3
20	SAS Macro Tutorial	P. Winters, Steve Morton		macro variable, macro facility, macro put, macro definition, proc step, &variable, macro loop, macro quoting function, keyword parameter, macro call, macro parameter, %macro parameters, dataset, macro conditional, sas log, symbol table, automatic variable, options statement	source	27
21	SAS Macros to Test Validity Conditions in the ANOVA of Repeated Measures Designs	M. Hucher		covariance, anova, degrees of freedom, proc step, sample	source	8
22	SAS Usage Under ROSCOE-ETSO	M. Lange		proc step, error message	source	5
23	Saving Time with The Display Manager	James H. Goodnight			source	1
24	Simulating Magazine Subscriptions with SAS	Aale Roos		proc step, proc freq	source	4
25	Solving Statistical Problems Using SAS and TPL Together	Manuel Angel Santos, Teofilo Valdes		time series analysis, regression analysis	source	7
26	Solving the Graphics Problem on IBM	Bill Manos			source	16
27	SYSPAD French Methods of Data Analysis	Bernard Piot, J. M. Bouroche, Stephane Corre		proc step, proc princomp, proc corresp, dataset, proc freq, data science	source	7
28	The CPM Procedure in the SASOR Product	Gerhard Held		proc step, bar chart	source	31
29	The Use of ISPF in an Information Centre	Alan Rawlings		data cleaning, error message	source	7
30	Using SAS for Interactive Logistical Support	Lionel P. Lecoq		moving average, dataset	source	14
31	Using SAS to Analyse VM Performance Data	Alan Rawlings	This poster should persuade the unconvinced that SAS is preferable to IBM's VMAP for CPE on the grounds of flexibility, quality of graphics and cost. For a full description of the SAS system see· the technical report 'Evaluating the Performance of VM/SP systems with SAS' by Peter L. Jobusch (29 August, 1983) which is available from the SAS Institute	bar chart, sample, trend analysis	source	6
32	Using SAS to Monitor Account Code Usage	Stephen D. Smith		proc step, proc format	source	8
33	VM Performance Using SAS	Daniel Delorge		proc gplot, proc step	source	10
34	Working with SAS in a Biometrical Department for End-Users	Peter Herbertz		proc step, dataset, sas output, proc contents, proc print, sas log, variable, data science	source	12

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