batchr is an R package to batch process files using an R function.

The key design principle is that only files which were last modified before the directory was configured are processed. A hidden file stores the configuration time and function etc while successfully processed files are automatically touched to update their modification date.

As a result batch processing can be stopped and restarted and any files created (or modified or deleted) during processing are ignored.

To allow the user control over the reprocessing of problematic files, all processing attempts (SUCCESS or FAILURE) are recorded in a hidden log file.


You can install the released version of batchr from CRAN with:

And the development version from GitHub with:

# install.packages("remotes")


Consider a directory with two .csv files

path <- file.path(tempdir(), "example")
unlink(path, force = TRUE)

write.csv(data.frame(x = 1), file.path(path, "file1.csv"), row.names = FALSE)
write.csv(data.frame(x = 3), file.path(path, "file2.csv"), row.names = FALSE)

First define the function to process them.

fun <- function(file) {
  data <- read.csv(file)
  data$x <- data$x * 2
  write.csv(data, file, row.names = FALSE)

Then simply call batch_process() to apply the function to all the files.

batch_process(fun, path, ask = FALSE)
#> ✓ file1.csv [00:00:00.002]
#> ✓ file2.csv [00:00:00.005]
#> Success: 2
#> Failure: 0
#> Remaining: 0

The files have been updated as follows.

read.csv(file.path(path, "file1.csv"))
#>   x
#> 1 2
read.csv(file.path(path, "file2.csv"))
#>   x
#> 1 6

For a more realistic demonstration with finer control over the batch processing see the Batchr Demonstration vignette.

Parallel Chains

To process the files in parallel simply set



Please report any issues.

Pull requests are always welcome.

Code of Conduct

Please note that the batchr project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.