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Bringing New Opportunities to Develop Statistical Software and Data Analysis Tools in Romania

Author

Listed:
  • Caragea, Nicoleta
  • Alexandru, Ciprian Antoniade
  • Dobre, Ana Maria

Abstract

In the last decade, open source programming technology is widely used among statisticians for developing a new statistical software and data analysis. This is R software environment and the main objective of this paper is to underline the importance of R for statistical computations, data analysis, visualization and applications in various fields. Regarding to this, the paper is primarily intended for people already familiar with common statistical concepts. Thus the statistical methods used to illustrate the R performance are not explained in detail. The main intention is to offer an overview to get started, to motivate beginners by illustrating the flexibility of R, and to show how simply it enables the user to carry out statistical computations.

Suggested Citation

  • Caragea, Nicoleta & Alexandru, Ciprian Antoniade & Dobre, Ana Maria, 2012. "Bringing New Opportunities to Develop Statistical Software and Data Analysis Tools in Romania," MPRA Paper 48772, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:48772
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    File URL: https://mpra.ub.uni-muenchen.de/48772/1/MPRA_paper_48772.pdf
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    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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    Cited by:

    1. Gibescu, Octavia, 2010. "Does the gross fixed capital formation represent a factor for supporting the economic growth?," MPRA Paper 50135, University Library of Munich, Germany.
    2. Nicoleta Caragea & Antoniade-Ciprian Alexandru & Ana Maria Dobre, 2014. "R – a Global Sensation in Data Science," Romanian Statistical Review, Romanian Statistical Review, vol. 62(2), pages 7-16, June.
    3. Voineagu, Vergil & Caragea, Nicoleta & Pisica, Silvia, 2013. "Estimating International Migration on the Base of Small Area Techniques," MPRA Paper 48775, University Library of Munich, Germany.
    4. Antoniade Ciprian ALEXANDRU, 2013. "Studying The Volatility Of The Romanian Investment Funds With The Arch And Garch Models Using The "R" Software," Working papers 03, Ecological University of Bucharest, Department of Economics.
    5. repec:cmj:journl:y:2013:i:27:alexandruc,caragean,dobream is not listed on IDEAS
    6. Ana Maria Dobre & Cecilia Roxana Adam, 2014. "The Progress of R in Romanian Official Statistics," Romanian Statistical Review, Romanian Statistical Review, vol. 62(2), pages 45-54, June.
    7. repec:eub:ecoenr:eer2015v1a01 is not listed on IDEAS
    8. Stefan Cristian Ciucu, 2014. "Statistical Data Analysis via R and PHP: A Case Study Of the Relationship Between GDP and Foreign Direct Investments for the Republic Of Moldova," Romanian Statistical Review, Romanian Statistical Review, vol. 62(2), pages 17-30, June.
    9. Ciprian Alexandru & Nicoleta Caragea & Ana - Maria Dobre, 2014. "R-evolution in Time Series Analysis Software Applied on R-omanian Capital Market," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 2(1), pages 28-34, June.
    10. Nicoleta Caragea & Ana Maria Dobre & Antoniade Ciprian Alexandru, 2013. "Profile Of Migrants In Romania – A Statistical Analysis Using "R"," Working papers 04, Ecological University of Bucharest, Department of Economics.
    11. Nicoleta CARAGEA & Antoniade Ciprian ALEXANDRU & Ana Maria DOBRE, 2014. "Pattern Of Financial Savings In A Romanian Bank – A Statistical Analysis," Post-Crisis Trends - Working papers 02, Ecological University of Bucharest, Department of Economics.
    12. Ana Maria DOBRE & Nicoleta CARAGEA, 2015. "Producing small area estimation using R in the Romanian official statistics," Romanian Journal of Economics, Institute of National Economy, vol. 40(1(49)), pages 115-125, june.
    13. Ciprian ALEXANDRU & Nicoleta CARAGEA & Ana Maria DOBRE, 2013. "Vector Autoregressive Models Using “R”," SEA - Practical Application of Science, Romanian Foundation for Business Intelligence, Editorial Department, issue 1, pages 59-67, June.
    14. Ana Maria Dobre & Andreea Gagiu, 2013. "Manipulation Of Large Databases With "R"," Working papers 05, Ecological University of Bucharest, Department of Economics.
    15. repec:ine:journl:v:40:y:2015:i:49:p:89-99 is not listed on IDEAS
    16. repec:ntu:ntugeo:vol2-iss1-14-028 is not listed on IDEAS
    17. Diana Ioana POPA, 2016. "Influence Factors of the Economic Development Level Across European Countries," Romanian Statistical Review, Romanian Statistical Review, vol. 64(2), pages 3-16, June.
    18. Dobre, Ana Maria, 2013. "Statistical Analysis of International Migration Using R Software," MPRA Paper 48804, University Library of Munich, Germany.
    19. Antoniade Ciprian ALEXANDRU & Nicoleta CARAGEA, 2015. "The Capital Markets Research Based on the Financial Quantitative Models," Eco-Economics Review, Ecological University of Bucharest, Economics Faculty and Ecology and Environmental Protection Faculty, vol. 1(1), pages 3-16, June.

    More about this item

    Keywords

    R packages; programming language; statistics; data analysis; regression models; data visualization;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

    Statistics

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