R.utils-package
Package R.utils
Utility functions useful when programming and developing R packages.
Warning: The Application Programming Interface (API) of the classes and methods in this package may change. Classes and methods are considered either to be stable, or to be in beta or alpha (pre-beta) stage. See list below for details.
The main reason for publishing this package on CRAN although it lacks a stable API, is that its methods and classes are used internally by other packages on CRAN that the author has published.
For package history, see showHistory(R.utils)
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- Keywords
- package
Requirements
This package requires the
Installation and updates
To install this package do:
install.packages("R.utils")
To get started
{[alpha] Methods for common argument processing.}How to cite this package
Whenever using this package, please cite [1] as
Bengtsson, H. The R.oo package - Object-Oriented Programming with References Using Standard R Code, Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC 2003), ISSN 1609-395X, Hornik, K.; Leisch, F. & Zeileis, A. (ed.), 2003
Wishlist
Here is a list of features that would be useful, but which I have too little time to add myself. Contributions are appreciated.
- Write a TclTkProgressBar class.
- Improve/stabilize the GString class.
- Mature the SmartComments classes. Also add AComments and PComments for assertion and progress/status comments.
If you consider implement some of the above, make sure it is not already implemented by downloading the latest "devel" version!
License
The releases of this package is licensed under LGPL version 2.1 or newer.
The development code of the packages is under a private licence (where applicable) and patches sent to the author fall under the latter license, but will be, if incorporated, released under the "release" license above.
References
[1] H. Bengtsson, The R.oo package - Object-Oriented Programming with References Using Standard R Code, In Kurt Hornik, Friedrich Leisch and Achim Zeileis, editors, Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC 2003), March 20-22, Vienna, Austria.