• 한국수학교육학회지시리즈E:수학교육논문집
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• 제21권2호
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• pp.199-225
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• 2007

초 중 고등학교 확률 및 통계교육 시 우리는 통계패키지로서 R을 사용할 수 있다. R은 대화식 처리방식을 따르기 때문에 배우기가 쉽다. 또한 R에서의 그래픽스는 아주 강력하다. 가장 큰 장점은 R의 사용이 무료라는 것이다. 이러한 많은 장점을 갖고 있는 R을 초 중 고등학교 확률 및 통계교육 현장에서 사용하는 표준 통계패키지로서 고려할 필요가 있다.

• 응용통계연구
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• 제22권5호
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• pp.893-910
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• 2009

대학교 기초통계학 교육 시 우리는 통계패키지로서 R을 사용할 수 있다. R은 대화식 처리방식을 따르기 때문에 실행결과를 즉시 볼 수 있다. 또한 R에서의 그래픽스는 아주 강력하다. 그리고 가장 큰 장점은 R의 사용이 무료라는 것이다. 이러한 많은 장점을 갖고 있는 R을 대학교 기초통계교육 현장에서 사용하는 표준 통계패키지로서 고려할 필요가 있다 본 논문은 기초통계학 내용 중 추측통계 영역을 대상으로 R의 활용에 대하여 기술하고자 한다.

• 한국재료학회:학술대회논문집
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• 한국재료학회 1998년도 IUMRS-ICEM ABSTRACT BOOK
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• pp.98.3-98
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• 1998

• 응용통계연구
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• 제33권1호
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• pp.87-105
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• 2020

통계공학은 실험계획법, 품질관리/품질경영, 신뢰성공학으로 구성된다. R은 무료로 개방되어 있는 통계패키지로서 통계모형, 통계 계산 및 통계 그래픽 관련 패키지가 방대하다. 우리는 이러한 R 패키지를 통계공학을 위한 기본 통계패키지로 유용하게 사용할 수 있다. 본 논문에서는 통계공학을 위한 R 패키지 응용을 살펴보고 통계공학 관련 CRAN Task Views가 필요함을 제안하였다.

• 한국정보시스템학회지:정보시스템연구
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• 제25권4호
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• pp.121-139
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• 2016

Purpose In this study, we propose the special purposed R package named ""new_Noun()" to process nonstandard texts appeared in various social networks. As the Big data is getting interested, R - analysis tool and open source software is also getting more attention in many fields. Design/methodology/approach With more than 9,000 R packages, R provides a user-friendly functions of a variety of data mining, social network analysis and simulation functions such as statistical analysis, classification, prediction, clustering and association analysis. Especially, "KoNLP" - natural language processing package for Korean language - has reduced the time and effort of many researchers. However, as the social data increases, the informal expressions of Hangeul (Korean character) such as emoticons, informal terms and symbols make the difficulties increase in natural language processing. Findings In this study, to solve the these difficulties, special algorithms that upgrade existing open source natural language processing package have been researched. By utilizing the "KoNLP" package and analyzing the main functions in noun extracting command, we developed a new integrated noun processing package "new_Noun()" function to extract nouns which improves more than 29.1% compared with existing package.

• 한국수학교육학회지시리즈E:수학교육논문집
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• 제21권2호
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• pp.227-270
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• 2007

장대홍(2007)에서는 R 패키지에 대한 전반적인 설명을 행하였다. 본 연구에서는 제 7차 수학과 교육과정 내의 확률 및 통계영역 목표와 내용을 중심으로 하고 제 7차 수학과 교육과정에 따라 집필된 중.고등학교 수학교과서들의 확률 및 통계단원을 참고로 하여 R 패키지를 구체적으로 수업에 어떻게 적용할 수 있는 지를 제안하여 보고자 한다.

• 한국마이크로전자및패키징학회:학술대회논문집
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• 한국마이크로전자및패키징학회 2006년도 ISMP 2006
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• pp.67-73
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• 2006

A system in package (SiP) generally contains a variety of systems such as analog, digital, optical and micro-electro-mechanical systems, integrated in a system-level package connected through a substrate. However, there are many electrical and mechanical reliability issues including the reliability issue for embedded structures. A mismatch of thermal coefficients of expansion among packaging materials and devices can lead to warping or delamination in the package. In this study, the effect of material properties of underfill, such as Young's modulus and CTE, are investigated through FEM simulation. Experimental investigation on the warpage of the package is also carried out to verify the simulation results. The results show that the reliability of the system in package is closely related to the material properties of underfill. The results of this study provide a good guidance for the material selection when designing the system in package.

• 한국자동차공학회논문집
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• 제22권3호
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• pp.157-165
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• 2014

To develop a compact vehicle for women, the most important areas are 'behavioral characteristics, life style and driving posture'. Static AM95%ile manikin is used for package guideline. Since women's characteristics and sitting position are different from men, however, the guideline cannot satisfy women drivers. Therefore, the goal of this study is to make the database with dynamic women's driving posture and behavioral characteristics at compact vehicle. Research process will be made as follows. Firstly, through the online/offline survey and statistic analysis, lifestyle and behavioral characteristics (discomfort elements) of women are extracted. Secondly, the author performs scenario test to acquire the discomfort value of driving situation and life style. 3D models of women's manikin and driving posture were created by CATIA HUMAN. The 3D models are used for the purpose of analyzing women's driving posture. Finally, with the ANOVA result and comparison between real driving posture and package guidelines, the author is able to suggest the main issue for women drivers.

• Communications for Statistical Applications and Methods
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• 제28권4호
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• pp.369-391
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• 2021

The vlda is an R (R Development Core team et al., 2011) package which provides functions for visualization of multidimensional longitudinal data. In particular, the R package vlda was developed to assist in producing a plot that more effectively expresses changes over time for two different types (long format and wide format) and uses a consistent calling scheme for longitudinal data. The main features of this package allow us to identify the relationship between categories and objects using an indicator matrix with object information, as well as to cluster objects. The R package vlda can be used to understand trends in observations over time in addition to identifying relative relationships at a simple visualization level. It also offers a new interactive implementation to perform additional interpretation, therefore it is useful for longitudinal data visual analysis. Due to the synergistic relationship between the existing VLDA plot and interactive features, the user is empowered by a refined observe the visual aspects of the VLDA plot layout. Furthermore, it allows the projection of supplementary information (supplementary objects and variables) that often occurs in longitudinal data of graphs. In this study, practical examples are provided to highlight the implemented methods of real applications.

• Communications for Statistical Applications and Methods
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• 제28권6호
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• pp.673-679
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• 2021

The moment calculation in a truncated multivariate normal distribution is a long-standing problem in statistical computation. Recently, Kan and Robotti (2017) developed an algorithm able to calculate all orders of moment under different types of truncation. This result was implemented in an R package MomTrunc by Galarza et al. (2021); however, it is difficult to use the package in practical statistical problems because the computational burden increases exponentially as the order of the moment or the dimension of the random vector increases. Meanwhile, Lee (2021) presented an efficient numerical method in both accuracy and computational burden using Gauss-Hermit quadrature. This article introduces trunmnt implementation of Lee's work as an R package. The Package is believed to be useful for moment calculations in most practical statistical problems.