• The Korean Journal of Applied Statistics
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• v.6 no.1
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• pp.13-22
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• 1993

SAS/GRAPH is a part of the SAS System which generates information and presentation color graphics. It is able to import any SAS dataset from other statistical data analysis procedures and produce sophisticated graphics output. It also supports most output devices on the market and offers various tools enhancing graphics output. In this regard SAS/GRAPH outclasses its compertitors. However, it does not support an interactive tool for data visualization and graphical data analysis. As far as interactive statistical graphics is concerned, SAS/GRAPH is behind in features and functions, compared to newly emerged statsitical graphics software such as S-Plus.

• The Korean Journal of Applied Statistics
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• v.6 no.1
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• pp.1-11
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• 1993

Statistical graphics have been important new tools for data analysis and many statistical softwares are exploiting graphical methods. Among these softwares available in personal computer at low cost, we intriduce S-PLUS(version 2.0). S-PLUS is an interactive graphical data analysis system and object-oriented programming language. SAS/GRAPH is another popular graphical system for displaying data in the form of color plots, charts, maps, and slides on screen and hardcopy devices. S-PLUS is compared to SAS/GRAPH(version 6.04) in viewpoints of statistical graphics.

• Communications for Statistical Applications and Methods
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• v.8 no.2
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• pp.507-514
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• 2001

In recent years, the development and the embodiment of information analysis system has been sprightly carried out in several fields of study. In this study, as and extension of these studies, we develop a system for multivariate analysis which might be widely used in social and natural sciences. This multivariate analysis system is developed by using multivariate analysis procedures in SAS/STAT software. Also, the system supply users with he environment of GUI(Graphical User Interface), which is constructed with AF(application frame) and SCL(screen control language) of SAS software, in order to help users to use the system with easy.

• Journal of the Korean Data and Information Science Society
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• v.15 no.2
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• pp.317-329
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• 2004

The Web log has caught much attraction for tracing of customer activity. So many researches have been carried on it. As a result, Web log analysis solutions has been developed and launched lately. It has been in the spotlight to the website administrators and people in practical marketing business. In this paper, we made an analysis on the various behavior patterns of customers in cooperation with SAS/AF and SCL modules, based on development of GUI from SAS package for disposal of statistical data.

• The Korean Journal of Applied Statistics
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• v.13 no.2
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• pp.297-306
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• 2000

Many users have made the most often use of the SAS system in statistical data analysis all over the world. But it is difficult to use the grand procedures and language of the SAS system. Therefore the side of program development has changed in the graphic-oriented and menu-centered way like SASj ASSIST, SASjINSICHT after a version 6.08 turned into the Window environment. A biplots is a multivariate data analysis technique that graphically describes both relationships among the multidimensional observations and relationships among the variables. But there were not the procedure and graphic interface for a biplots algorithm in the SAS system. In this paper, there are two objects. First, we supply users with the convenience of the environment of CLI, which is constructed with SASj AF and SCL, to solve the problem that we have programed a biplots algorithm with the SASjIML one by one. Second, we reflect the current of the Information Age which means the spread of various kinds of system construction to extract useful information from data with the help of the development of hardware and software.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.989-998
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• 2005

The internet survey is more time and cost efficient than the off-line survey. We design and implement a web-based questionnaire generating system for the internet survey. The system guides users to make up a questionnaire step by step. It also generates data code for the statistical packages such as SPSS and SAS when the internet survey has been done.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.139-145
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• 1996

A forecast on the past output data sets of small bar steels is very important information to make a decision on the future production quantities. In many cases, however, it has been mainly determined by experience (or rule of thumb). In this paper, past basic data sets of each small bar steels are statistically analyzed by some graphical and statistical forecasting methods. This work is mainly done by SAS. Among various quantitative forecasting methods in SAS, STEPAR forecasting method was best performed to the above data sets. By the method, the future production quantities of each small bar steels are forecasted. As a result of this statistical analysis, 95% confidence intervals for future forecast quantities are very wide. To improve this problem, a suitable systematic database system, integrated management system of demand-production-inventory and integrated computer system should be required.

• Proceedings of the Korea Concrete Institute Conference
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• 1998.04b
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• pp.719-724
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• 1998

It is proposed in this paper to develop the rational mix design system of High-strength concrete which is adjusted in the domestic circumstances. 1) Collect a lots of data in order to introduce the optimum mix design which has relation among material variables which compose High-strength concrete and run by using SAS (Statistical analysis system) which is one of multivariate statistical analysis method. 2) Select the important material variables for mix design of High-strength concrete by major component analysis and propose the standard range of each material variable along the target strengths. From the results of this study, it was proposed the range of proper material variables in domestic circumstance, which are W/C, S/A, air and admixture amounts, etc, at the target strengths for concrete kind. Also it was developed the optimum mix design program of High-strength concrete according to target strength and size of aggregate and made mix design ease in domestic construction site.

• IE interfaces
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• v.15 no.2
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• pp.209-217
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• 2002

Quality of Service(QoS) in the telecommunications can be evaluated by analyzing the opinion data which result from the surveyed opinions of respondents and quantify subjective satisfaction on the QoS from the customers' viewpoints. For analyzing the opinion data, MOS(mean opinion score) method and Cumulative Probability Curve method are often used. The methods are based on the scoring method, and therefore, have the intrinsic deficiency due to the assignment of arbitrary scores. In this paper, we propose an analysis method of the opinion data using logit models which can be used to analyze the ordinal categorical data without assigning arbitrary scores to customers' opinion, and develop an analysis procedure considering the usage of procedures provided by SAS(Statistical Analysis System) statistical package. By the proposed method, we can estimate the relationship between customer satisfaction and network performance parameters, and provide guidelines for network planning. In addition, the proposed method is compared with Cumulative Probability Curve method with respect to prediction errors.

• Applied Biological Chemistry
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• v.47 no.1
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• pp.96-106
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• 2004

Response surface methodology (RSM) was applied in roasting processes of perilla leaves to develop a high quality perilla leaf tea. The Hunter color parameters and electron donating ability were monitored to optimize organoleptic properties of perilla leaf tea. The roasting processes were based on the central composite design with primary variables-roasting temperature $(140{\sim}220^{\circ}C)$, time $(5{\sim}25)$, and reaction variables-sensory test, electron donating ability. From the variables, the roasting condition was optimized using statistical analysis system (SAS) program as developing the functional tea using perilla leaf. Hunter color L and b values of the powdered samples increased with the roasting processes, but Hunter color a value decreased. Electron donating ability was influenced by roasting temperature (p<0.01) and time (p<0.01), and optimum condition selected was at $220^{\circ}C$ for 15 min with coefficient of determinations $(R^2)$ above 0.98. After preference test of perilla leaf tea using parameter of taste, color, and flavor, we can estimate that the optimal roasting condition of preilla leaf for function tea manufacturing are $210{\sim}220^{\circ}C$ for $10{\sim}20$ min by response surface methodology (RSM). Tyrosinase, xanthine oxidase and electron donating ability were 10.14, 14.37 and 59.19% of perilla leaf tea.