• Title/Summary/Keyword: statistical package

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Applications of R for Inferential Statistics in the Elementary Statistics Course (기초통계학 추측통계영역 교육시 R의 활용에 대한 연구)

  • Jang, Dae-Heung
    • The Korean Journal of Applied Statistics
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    • v.22 no.5
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    • pp.893-910
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    • 2009
  • Abstract We can use R package as a statistical package on the statistical education for college students. R is an interactive mode package and graphical presentation tools are powerful in R. The greatest advantage is that R is a general public license package. We need to consider R package as a standard statistical package on the statistical education for college students. We can consider the applications of R for inferential statistics in elementary statistics course.

Applications of R package for statistical engineering (통계공학을 위한 R 패키지 응용)

  • Jang, Dae-Heung
    • The Korean Journal of Applied Statistics
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    • v.33 no.1
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    • pp.87-105
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    • 2020
  • Statistical engineering contains the design of experiments, quality control/management, and reliability engineering. R is a free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. R package has many functions and libraries for statistical engineering. We can use R package as a useful tool for statistical engineering. This paper shows the applications of R package for statistical engineering and suggests a R Task View for statistical engineering.

Applications of python package for statistical engineering (통계공학을 위한 Python 패키지 응용)

  • Jang, Dae-Heung
    • The Korean Journal of Applied Statistics
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    • v.34 no.4
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    • pp.633-658
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    • 2021
  • Statistical engineering contains design of experiments, quality control/ management, and reliability engineering. Python is a free software environment for machine learning, data science, and graphics. Python package has many functions and libraries for statistical engineering. We can use Python package as a useful tool for statistical engineering. This paper shows applications of Python package for statistical engineering and suggests a total Python projects for statistical engineering.

Applications of R statistical package on Probability and Statistics Education in Elementary, Middle and High School(I) (초.중.고등학교 확률 및 통계영역 교육에서의 R 통계패키지의 활용(I))

  • Jang, Dae-Heung
    • Communications of Mathematical Education
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    • v.21 no.2 s.30
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    • pp.199-225
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    • 2007
  • We can use R package as a statistical package on the education of probability and statistics in elementary, middle and high school mathematics. R is an interactive mode package and graphical presentation tools in R are powerful. The greatest advantage is that R is a general public license package. We need to consider R package as a standard statistical package on the education of probability and statistics in elementary, middle and high school mathematics.

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trunmnt: An R package for calculating moments in a truncated multivariate normal distribution

  • Lee, Seung-Chun
    • Communications for Statistical Applications and Methods
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    • v.28 no.6
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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.

Development of Web Contents for Statistical Analysis Using Statistical Package and Active Server Page (통계패키지와 Active Server Page를 이용한 통계 분석 웹 컨텐츠 개발)

  • Kang, Tae-Gu;Lee, Jae-Kwan;Kim, Mi-Ah;Park, Chan-Keun;Heo, Tae-Young
    • Journal of Korea Society of Industrial Information Systems
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    • v.15 no.1
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    • pp.109-114
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    • 2010
  • In this paper, we developed the web content of statistical analysis using statistical package and Active Server Page (ASP). A statistical package is very difficult to learn and use for non-statisticians, however, non-statisticians want to do analyze the data without learning statistical packages such as SAS, S-plus, and R. Therefore, we developed the web based statistical analysis contents using S-plus which is the popular statistical package and ASP. In real application, we developed the web content for various statistical analyses such as exploratory data analysis, analysis of variance, and time series on the web using water quality data. The developed statistical analysis web content is very useful for non-statisticians such as public service person and researcher. Consequently, combining a web based contents with a statistical package, the users can access the site quickly and analyze data easily.

Statistical Package fo Sample Size and Power Determination (표본의 수와 검정력 분석을 위한 통계팩키지)

  • Lee, Kwan-Jeh
    • Journal of Korean Society for Quality Management
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    • v.28 no.2
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    • pp.17-38
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    • 2000
  • In application, sample size determination is one of the important problems in designing an experiment. A large amount of literature has been published on the problem of determining sample size and power for various statistical models. In practice, however, it is not easy to calculate sample size and/or power because the formula and other results derived from statistical model are scattered in various textbooks and journal articles. This paper describes some previously published theories that have practical relevance for sample size and power determination in various statistical problems, including life-testing problems with censored cases and introduces a statistical package which calculates sample size and power according to the results described. The screens and numerical results made by the package are demonstrated.

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Developing a Korean statistical package (한국형 통계패키지 개발 연구)

  • 이정진;강근석
    • The Korean Journal of Applied Statistics
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    • v.7 no.2
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    • pp.279-288
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    • 1994
  • Most of the statistical packages being used in Korea, such as SAS or SPSS, are imported from foreign countries. Since these package are written in English, it is not easy for Korean to learn the statistical packages. Also, most of the users except statistician use these expensive packages only to draw pictures and to make tables. We introduce a Korean statistical package which can be used easily for general public.

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Applications of R statistical package on Probability and Statistics Education in Elementary, Middle and High School(II) (초.중.고등학교 확률 및 통계영역 교육에서의 R 통계패키지의 활용(II))

  • Jang, Dae-Heung
    • Communications of Mathematical Education
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    • v.21 no.2 s.30
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    • pp.227-270
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    • 2007
  • We described the overall explanation about R statistical package in Jang(2007). With referring the contents of the 7th national mathematics curriculum, we suggest the plan for applications of R package on probability and statistics education in elementary, middle and high school mathematics.

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