If you want to routinely apply an R analysis to a lot of separate data files, or provide a repeatable analysis method to other people, an executable R script is a user-friendly way to do so. Instead of you or your user having to call
R and execute your script inside R via
source(.) or a function call, your user may simply call the script itself as if it was a program.
To represent the standard input-/output channels, use the functions
file("stdin") (input from terminal or other program via pipe),
stdout() (standard output) and
stderr() (standard error). Note that while there is the function
stdin(), it can not be used when supplying a ready-made script to R, because it will read the next lines of that script instead of user input.
Standalone R scripts are not executed by the program
R.exe under Windows), but by a program called
Rscript.exe), which is included in your
R installation by default.
To hint at this fact, standalone R scripts start with a special line called Shebang line, which holds the following content:
#!/usr/bin/env Rscript. Under Windows, an additional measure is needed, which is detailled later.
The following simple standalone R script saves a histogram under the file name "hist.png" from numbers it receives as input:
#!/usr/bin/env Rscript # User message (\n = end the line) cat("Input numbers, separated by space:\n") # Read user input as one string (n=1 -> Read only one line) input <- readLines(file('stdin'), n=1) # Split the string at each space (\\s == any space) input <- strsplit(input, "\\s")[] # convert the obtained vector of strings to numbers input <- as.numeric(input) # Open the output picture file png("hist.png",width=400, height=300) # Draw the histogram hist(input) # Close the output file dev.off()
You can see several key elements of a standalone R script. In the first line, you see the Shebang line. Followed by that,
cat("....\n") is used to print a message to the user. Use
file("stdin") whenever you want to specify "User input on console" as a data origin. This can be used instead of a file name in several data reading functions (
read.csv,...). After the user input is converted from strings to numbers, the plotting begins. There, it can be seen, that plotting commands which are meant to be written to a file must be enclosed in two commands. These are in this case
dev.off(). The first function depends on the desired output file format (other common choices being
pdf(.)). The second function,
dev.off() is always required. It writes the plot to the file and ends the plotting process.
The standalone script's file must first be made executable. This can happen by right-clicking the file, opening "Properties" in the opening menu and checking the "Executable" checkbox in the "Permissions" tab. Alternatively, the command
chmod +x PATH/TO/SCRIPT/SCRIPTNAME.R
can be called in a Terminal.
For each standalone script, a batch file must be written with the following contents:
"C:\Program Files\R-XXXXXXX\bin\Rscript.exe" "%~dp0\XXXXXXX.R" %*
A batch file is a normal text file, but which has a
*.bat extension except a
*.txt extension. Create it using a text editor like
Word) or similar and put the file name into quotation marks
"FILENAME.bat") in the save dialog. To edit an existing batch file, right-click on it and select "Edit".
You have to adapt the code shown above everywhere
XXX... is written:
Explanation of the elements in the code: The first part
"C:\...\Rscript.exe" tells Windows where to find the
Rscript.exe program. The second part
Rscript to execute the R script you've written which resides in the same folder as the batch file (
%~dp0 stands for the batch file folder). Finally,
%* forwards any command line arguments you give to the batch file to the R script.
If you double-click on the batch file, the R script is executed. If you drag files on the batch file, the corresponding file names are given to the R script as command line arguments.
littler (pronounced little r) (cran) provides, besides other features, two possibilities to run R scripts from the command line with littler's
r command (when one works with Linux or MacOS).
The path of
r is printed in the terminal, like
You could link to the 'r' binary installed in '/home/*USER*/R/x86_64-pc-linux-gnu-library/3.4/littler/bin/r' from '/usr/local/bin' in order to use 'r' for scripting.
To be able to call
r from the system's command line, a symlink is needed:
ln -s /home/*USER*/R/x86_64-pc-linux-gnu-library/3.4/littler/bin/r /usr/local/bin/r
sudo apt-get install littler
littler it is possible to execute standalone R scripts without any changes to the script.
# User message (\n = end the line) cat("Input numbers, separated by space:\n") # Read user input as one string (n=1 -> Read only one line) input <- readLines(file('stdin'), n=1) # Split the string at each space (\\s == any space) input <- strsplit(input, "\\s")[] # convert the obtained vector of strings to numbers input <- as.numeric(input) # Open the output picture file png("hist.png",width=400, height=300) # Draw the histogram hist(input) # Close the output file dev.off()
Note that no shebang is at the top of the scripts. When saved as for example
hist.r, it is directly callable from the system command:
It is also possible to create executable R scripts with littler, with the use of the shebang
at the top of the script. The corresponding R script has to be made executable with
chmod +X /path/to/script.r and is directly callable from the system terminal.