![]() ![]() The wildcards work here the same as with any other command that filters file names. The sourceMask works as a filter to determine which files are renamed. The behavior of the wildcards changes slightly between source and target masks. Both the sourceMask and targetMask can contain * and/or ? wildcards. RENAME requires 2 parameters - a sourceMask, followed by a targetMask. No tests were done with unicode in file names. These rules were discovered after extensive testing on a Vista machine. I figure many others may be interested in what I discovered) I got tired of not knowing the rules and decided to experiment on my own. (Yes - this is a case where I am posting a paired question and answer. Of course knowing the rules would also benefit batch development. If I knew the rules for how wildcards are processed then I figure I could use the RENAME command more effectively without having to resort to batch as often. Frequently I've had to resort to writing a small batch script with a FOR loop that parses each name so that I can build each new name as needed. I haven't been able to anticipate what works and what doesn't. I've managed to successfully use wildcards in the filename2 parameter on some occasions, but it has always been trial and error. Not much help - there are many ways that statement can be interpretted. If you use wildcards in filename2, the characters represented by the wildcards will be identical to the corresponding characters in filename1." "You can use wildcards ( * and ?) in either file name parameter. Here is all it has to say regarding wildcards: The Microsoft technet XP online help isn't much better. The built in HELP facility is of no help - it doesn't address wildcards at all. How does the Windows RENAME (REN) command interpret wildcards? # "Carrie_test_mid_1.csv" "John_test_2.csv" "do_not_match.I originally posted this question and answer on StackExchange Now we can just use R's file.rename function, which is helpfully vectorized. Werth\\AppData\\Local\\Temp\\RtmpC4hJTv/Carrie_test_mid_1.csv" New_names <- sprintf("%s_%d.csv", no_file_ext, seq_along(no_file_ext)) No_file_ext <- tools::file_path_sans_ext(test_files) For now, just know that %s means "insert a string" and %d means "insert a whole number." # Create the new names It's a nice way to build strings with guaranteed formatting and doesn't require nested paste0 and format calls. This makes it easy to tack things onto the end of file names.Īlso, if you're not familiar with the sprintf, I'd recommend trying it out. Next, we can use a function from the tools package (which comes with every R installation) to remove file extensions from paths. ![]() I wish full.names = TRUE was the function's default, but oh well. Pattern = "test.*\\.csv$", # has "test", followed by 0 or more characters,įull.names = TRUE # include the directory in the result Path = tempdir(), # replace with the directory you want ![]() # Two that should be renamed, one that shouldn'tĬ("Carrie_test_mid.csv", "John_test.csv", "do_not_match.csv") Here's my suggestion for the full solution: # Creating files for the example Nirgrahamuk is right that R uses regex to match file names. ![]()
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