Temporary Files And Directories in R Programming Language

# Throughout program execution, we often want to create
# data that isn't needed after the program exits.
# Temporary files and directories are useful for this
# purpose since they don't pollute the file system over
# time.

library(fs)

# The easiest way to create a temporary file is by
# using the `tempfile()` function. It creates a file name
# in the default location for our OS.

f <- tempfile(pattern = "sample")
cat("Temp file name:", f, "\n")

# Clean up the file after we're done. The OS is
# likely to clean up temporary files by itself after
# some time, but it's good practice to do this
# explicitly.

on.exit(file_delete(f))

# We can write some data to the file.

writeBin(as.raw(c(1, 2, 3, 4)), f)

# If we intend to write many temporary files, we may
# prefer to create a temporary directory.
# `tempdir()` returns the path of the session's temporary directory.

dname <- tempdir()
cat("Temp dir name:", dname, "\n")

# Now we can synthesize temporary file names by
# prefixing them with our temporary directory.

fname <- file.path(dname, "file1")
writeBin(as.raw(c(1, 2)), fname)

# Note: In R, there's no need to explicitly remove the temporary directory
# as it's automatically cleaned up at the end of the R session.

In R, temporary file and directory management is somewhat different from Go:

  1. R has built-in functions for creating temporary files and directories.

  2. The tempfile() function creates a name for a temporary file, but doesn’t actually create the file. You need to write to it to create it.

  3. R uses a session-wide temporary directory, which can be accessed with tempdir(). This directory is automatically cleaned up when the R session ends.

  4. File operations in R often use functions from the base package or additional packages like fs for more advanced operations.

  5. R doesn’t have a direct equivalent to Go’s defer keyword. Instead, we use on.exit() to ensure cleanup operations are performed when the function exits.

  6. Error handling in R is typically done using tryCatch() or by checking return values, rather than explicit error checks as in the Go code.

This R code demonstrates creating temporary files and directories, writing to them, and ensuring proper cleanup. It maintains the spirit of the original Go example while adapting to R’s conventions and standard library.