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An Introduction to R for Quality Control

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Quality Control with R

Part of the book series: Use R! ((USE R))

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Abstract

This chapter introduces R as statistical software and programming language for quality control. The chapter is organized as a kind of tutorial with lots of examples ready to be run by the reader. Moreover, the code is available at the book’s companion website. Even though the RStudio interface is also introduced in the chapter, any other user interface can be used, including the R default GUI and code editor.

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Notes

  1. 1.

    http://www.r-project.org.

  2. 2.

    http://www.rstudio.com.

  3. 3.

    Please note that sometimes what you paste could not be exactly what you see in the book and some modifications could be needed.

  4. 4.

    http://www.qualitycontrolwithr.com.

  5. 5.

    http://www.rstudio.com.

  6. 6.

    http://www.ess.r-project.org.

  7. 7.

    http://www.walware.de/goto/statet.

  8. 8.

    Esca** means to provide a character string with special characters. For example, ∖n is for the special character new line.

  9. 9.

    http://www.java.com.

  10. 10.

    The version used while writing this book was 0.99.xxx.

  11. 11.

    It can be changed through the Tools > Global options menu.

  12. 12.

    This means that only the first letters of the argument name can be provided. We do not recommend that, though.

  13. 13.

    This function returns the structure of any R object.

  14. 14.

    Pressing the F1 key when the cursor is in a function name also works.

  15. 15.

    In this case not all the code is shown because seq is a built-in, compiled function.

  16. 16.

    The scan function also accepts arguments to scan data from files and text, check the function documentation.

  17. 17.

    Note that the output might have more elements if further objects were created beforehand.

  18. 18.

    The sum function will be explained later.

  19. 19.

    We use the paste function to get a sequence of character strings, see Appendix C to see more functions to work with strings.

  20. 20.

    We first fix the seed in order to make the example reproducible.

  21. 21.

    We use a different URL within the download.file function as it fails in redirecting URLs.

  22. 22.

    There are more packages able to deal with Excel files, check http://www.thertrader.com/2014/02/11/a-million-ways-to-connect-r-and-excel/.

  23. 23.

    http://www.iso.org/iso/home/store/catalogue_tc/catalogue_tc_browse.htm?commid=45342.

  24. 24.

    http://www.jtc1bigdatasg.nist.gov.

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Authors and Affiliations

  1. Department of Computer Science and Statistics, Rey Juan Carlos University, Madrid, Spain

    Emilio L. Cano & Javier M. Moguerza

  2. Statistics Area, DHEP, The University of Castilla-La Mancha, Ciudad Real, Spain

    Emilio L. Cano

  3. ENUSA Industrias Avanzadas, Madrid, Spain

    Mariano Prieto Corcoba

Authors
  1. Emilio L. Cano
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  2. Javier M. Moguerza
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  3. Mariano Prieto Corcoba
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Cano, E.L., Moguerza, J.M., Corcoba, M.P. (2015). An Introduction to R for Quality Control. In: Quality Control with R. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-319-24046-6_2

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