batch_process: Batch File Processing
In batchr: Batch Process Files

Description Usage Arguments Value See Also Examples

Performs batch processing of files in a directory using the batch_config(), batch_run() and batch_cleanup() functions. For more control the user should call these three functions instead.

batch_process(
  fun,
  path,
  regexp = ".*",
  recurse = FALSE,
  progress = FALSE,
  force = TRUE,
  report = TRUE,
  seeds = NULL,
  options = furrr::furrr_options(),
  ask = getOption("batchr.ask", TRUE),
  ...
)

`fun`	A function to process each of the files. `fun`'s first argument should be a string of the path to a single file. If processing is unsuccessful `fun` should return FALSE or throw an error (error messages are caught and automatically logged). If fun deletes or modifies the file then it is no longer considered for processing.
`path`	A string of the path to the directory with the files for processing.
`regexp`	A string of a regular expression. Only non-hidden file names which match the regular expression will be batch processed.
`recurse`	A flag specifying whether to recurse into path's subdirectories.
`progress`	A flag specifying whether to print a progress bar.
`force`	A flag specifying whether to delete configuration and log files even if there are files remaining to be processed.
`report`	A flag specifying whether to outputs a report of the status of individual files to the console.
`seeds`	A named list of the L'Ecuyer-CMRG seed to use for each file. If `NULL` then `seeds` is `batch_seeds(files)`.
`options`	The future specific options to use with the workers. seed must be `FALSE`.
`ask`	A flag specifying whether to ask before starting to process the files.
`...`	Additional arguments passed to `fun`.

An invisible flag indicating whether all the files where successfully processed.

batch_config(), batch_run() and batch_cleanup()

path <- tempdir()
write.csv(mtcars, file.path(path, "file1.csv"))
batch_process(function(x) TRUE, path, regexp = "[.]csv$", ask = FALSE)
unlink(file.path(path, "file1.csv"))