# R.cache v0.13.0

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## Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations

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).

## Functions in R.cache

 Name Description setupCacheRootPath Interactively offers the user to set up the default root path .baseLoad Loads an object from a file connection Non-documented objects Non-documented objects setCachePath Sets the path to the file cache directory setCacheRootPath Sets the root path to the file cache directory Options used by R.cache Options used by R.cache R.cache-package Package R.cache readCacheHeader Loads data from file cache saveCache Saves data to file cache generateCache Generates a cache pathname from a key object getCachePath Gets the path to the file cache directory loadCache Loads data from file cache memoizedCall Calls a function with memoization evalWithMemoization Evaluates an R expression with memoization findCache Locates a cache file addMemoization Creates a copy of an existing function such that its results are memoized clearCache Removes all files in a cache file directory getCacheRootPath Gets the root path to the file cache directory getChecksum Generates a deterministic checksum for an R object No Results!