R.cache-package: Package R.cache

In R.cache: Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations

Package R.cache

Description

Memoization can be used to speed up repetitive and computational expensive function calls. The first time a function that implements memoization is called the results are stored in a cache memory. The next time the function is called with the same set of parameters, the results are momentarily retrieved from the cache avoiding repeating the calculations. With this package, any R object can be cached in a key-value storage where the key can be an arbitrary set of R objects. The cache memory is persistent (on the file system).

Installation and updates

To install this package and all of its dependent packages, do: install.packages("R.cache")

To get started

• loadCache, saveCache Methods for loading and saving objects from and to the cache.

• getCacheRootPath, setCacheRootPath Methods for getting and setting the directory where cache files are stored.

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.

• Add a functionality to identify cache files that are no longer of use. For now, there is an extra header field for arbitrary comments which can be used, but maybe more formal fields are useful, e.g. keywords, user, etc?

If you consider implement some of the above, make sure it is not already implemented by downloading the latest "devel" version!

Related work

See also the filehash package, and the cache() function in the Biobase package of Bioconductor.

License

The releases of this package is licensed under LGPL version 2.1 or newer.

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. https://www.r-project.org/conferences/DSC-2003/Proceedings/

Author(s)

Henrik Bengtsson

R.cache documentation built on July 21, 2022, 5:11 p.m.