The Software Environment R for Official Statistics and Survey Methodology

The open-source programming language and software environment R is currently one of the most widely used and popular software tools for statistics and data analysis. This contribution provides an overview of important R packages used in official statistics and survey methodology and discusses the u...

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Main Authors: Matthias Templ, Valentin Todorov
Format: Article
Language:English
Published: Austrian Statistical Society 2016-02-01
Series:Austrian Journal of Statistics
Online Access:http://www.ajs.or.at/index.php/ajs/article/view/100
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spelling doaj-2d5e450766344133b3f7cd8d053f92872021-04-22T12:34:24ZengAustrian Statistical SocietyAustrian Journal of Statistics1026-597X2016-02-0145110.17713/ajs.v45i1.100The Software Environment R for Official Statistics and Survey MethodologyMatthias Templ0Valentin Todorov1Vienna University of Technology, Statistics Austria, data-analysis OG, Palacky University of OlomoucUNIDO The open-source programming language and software environment R is currently one of the most widely used and popular software tools for statistics and data analysis. This contribution provides an overview of important R packages used in official statistics and survey methodology and discusses the usefulness of R in the daily work of a statistical office. Examples of activities and developments in R related projects in several national and international statistical offices are given. The focus is not only on the internal infrastructure that national and international statistical offices provide for using R but also on some interesting R related projects carried out in those institutes. Two particular packages (laeken and sdcMicro) and one data set (Statistics on Earnings Survey) are used to illustrate the usefulness (and the user-friendliness) of R and to present methods available in R. In addition, the access to international statistical databases like WDI of World Bank and UN COMTRADE with R is illustrated. http://www.ajs.or.at/index.php/ajs/article/view/100
collection DOAJ
language English
format Article
sources DOAJ
author Matthias Templ
Valentin Todorov
spellingShingle Matthias Templ
Valentin Todorov
The Software Environment R for Official Statistics and Survey Methodology
Austrian Journal of Statistics
author_facet Matthias Templ
Valentin Todorov
author_sort Matthias Templ
title The Software Environment R for Official Statistics and Survey Methodology
title_short The Software Environment R for Official Statistics and Survey Methodology
title_full The Software Environment R for Official Statistics and Survey Methodology
title_fullStr The Software Environment R for Official Statistics and Survey Methodology
title_full_unstemmed The Software Environment R for Official Statistics and Survey Methodology
title_sort software environment r for official statistics and survey methodology
publisher Austrian Statistical Society
series Austrian Journal of Statistics
issn 1026-597X
publishDate 2016-02-01
description The open-source programming language and software environment R is currently one of the most widely used and popular software tools for statistics and data analysis. This contribution provides an overview of important R packages used in official statistics and survey methodology and discusses the usefulness of R in the daily work of a statistical office. Examples of activities and developments in R related projects in several national and international statistical offices are given. The focus is not only on the internal infrastructure that national and international statistical offices provide for using R but also on some interesting R related projects carried out in those institutes. Two particular packages (laeken and sdcMicro) and one data set (Statistics on Earnings Survey) are used to illustrate the usefulness (and the user-friendliness) of R and to present methods available in R. In addition, the access to international statistical databases like WDI of World Bank and UN COMTRADE with R is illustrated.
url http://www.ajs.or.at/index.php/ajs/article/view/100
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