bigfiles: Find the largest files in a directory and its sub-directories
In omegahat/RBigfiles: Find big files

Description Usage Arguments Value Author(s) See Also Examples

This is a function that is useful for identifying large files in a hierarchy of directories. This can recursively process directories and return a data frame with information about the num largest files. One can exclude certain files (including directories) by using pattern matching on the names

1	bigfiles(dir = ".", recursive = TRUE, num = 50, maxDepth = 10, excludePattern = character(), files = list.files(dir, full.names = TRUE))

`dir`	character, the top-level directory in which to find large files
`recursive`	a logical value indicating whether to process sub-directories or not.
`num`	the maximum number of files to return in the result.
`maxDepth`	a non-negative integer indicating how many sub-directories deep we should process. This is only used when `recursive` is `TRUE`.
`excludePattern`	a regular expression passed to `grep` to identify files by name that we should exclude. This applies to directories as well as files. Directories that are excluded will not be processed recursively.
`files`	a character vector naming the top-level files to process. This is typically not specified by the caller. However, one can specify a subset of the files in the top-level directory, e.g. to exclude certain directories (or even files).

A data frame similar to file.info with the largest files.

Duncan Temple Lang

file.info list.files

## Not run:   
  a = bigfiles("~/Projects/org/omegahat/R", maxDepth = 3, excludePattern = "(tar.gz|tu)$")

## End(Not run)

 big = bigfiles(.libPaths()[1])
 big = bigfiles(R.home())