R and Quantitative Data Analysis.

The article focuses on the application of R in getting into grips with having expended effort rewarded by its power and ability to work in a seamless manner. It has been considered a powerful and free statistical environment in the language programming. The author has noted that though the R learnin...

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Detalles Bibliográficos
Publicado en:Social Research Update no. 55; pp. 1 - 5
Autor principal: Webb, Paul
Formato: Artículo
Publicado: University of Surrey Spring2009
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        Learning
        Quantitative research
        Experience curve
        Time study
        Work measurement
        Sampling (Process)
        Statistical bias
        Linear statistical models
        Statistics
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          Learning
          Quantitative research
          Experience curve
          Time study
          Work measurement
          Sampling (Process)
          Statistical bias
          Linear statistical models
          Statistics
      ab: The article focuses on the application of R in getting into grips with having expended effort rewarded by its power and ability to work in a seamless manner. It has been considered a powerful and free statistical environment in the language programming. The author has noted that though the R learning curve might be steep due to R driven from console, there is a possibility to work with it through the use of R commander. This interface is expected to be more intuitive for users even without the experience driven applications of command line.
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    language: English
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