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Programming in R

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The R Software

Part of the book series: Statistics and Computing ((SCO,volume 40))

Abstract

The strength of the R system is that it includes a real programming language. We shall see that it offers very original programming concepts. The concept of objects is very present in R. Object-oriented programming as used in R is transparent for the user, in the sense that you do not need to understand the theory in order to use it. The same cannot be said for the developer who wishes to respect the spirit of R.

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Notes

  1. 1.

    See for example http://en.wikipedia.org/wiki/Ordinary_least_squares.

  2. 2.

    The function missing() is also very useful for this kind of programming.

  3. 3.

    It should be noted that many programming languages do not have this functionality.

  4. 4.

    In fact, this group of operators can be used by a user when developing a new class of objects. But this matter is too advanced for this book!

  5. 5.

    To see this, type in the command line apropos("<-").

  6. 6.

    The core of R is developed in the C language for obvious reasons of speed of execution, which makes it rather reactive when used in the command line.

  7. 7.

    To speed up execution, it is usually possible to convert an R function into C and then to call it from R via the C API.

  8. 8.

    In fact, for auto-printing base objects (vectors, matrices, lists, etc.) in the console, R does not use the print() function, but calls a C function named PrintValueEnv, which is not directly available to the user.

  9. 9.

    No further details are needed for now; we shall come back to this very original class of objects.

  10. 10.

    This kind of function is often called a constructor in object-oriented programming.

  11. 11.

    This section does not give details on handling linear models in R; this will be the focus of Chap. 14.

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Authors and Affiliations

  1. Department of Mathematics and Statistics, Université de Montréal, Montréal, QC, Canada

    Pierre Lafaye de Micheaux

  2. B.S.H.M, Grenoble, France

    Rémy Drouilhet

  3. School of Mathematics and Physics, The University of Queensland, Brisbane, Australia

    Benoit Liquet

Authors
  1. Pierre Lafaye de Micheaux
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  2. Rémy Drouilhet
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  3. Benoit Liquet
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de Micheaux, P.L., Drouilhet, R., Liquet, B. (2013). Programming in R . In: The R Software. Statistics and Computing, vol 40. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-9020-3_8

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