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R.cache

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 (19)

00Index

Documentation for package ‘R.cache’ version 0.15.0

Non-documented_objects

Non-documented objects

Options_used_by_R.cache

Options used by R.cache

R.cache-package

Package R.cache

addMemoization

Creates a copy of an existing function such that its results are memoized

clearCache

Removes all files in a cache file directory

evalWithMemoization

Evaluates an R expression with memoization

findCache

Locates a cache file

generateCache

Generates a cache pathname from a key object

getCachePath

Gets the path to the file cache directory

getCacheRootPath

Gets the root path to the file cache directory

getChecksum

Generates a deterministic checksum for an R object

loadCache

Loads data from file cache

memoizedCall

Calls a function with memoization

readCacheHeader

Loads data from file cache

saveCache

Saves data to file cache

setCachePath

Sets the path to the file cache directory

setCacheRootPath

Sets the root path to the file cache directory

setupCacheRootPath

Interactively offers the user to set up the default root path

R.cache

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

v0.15.0
LGPL (>= 2.1)
Authors
Henrik Bengtsson [aut, cre, cph]
Initial release

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