how to use a scripting front-end for GNU R (original) (raw)
Examples
We show and discuss a few of the files in the examples/
directory of littler to. In a few cases we remove comment lines to keep things more concise on this page.
Simple Command-line Use
littler can be used directly on the command-line just like, say, bc
:
echo 'cat(pi^2,"\n")' | r
9.869604
Equivalently, commands that are to be evaluated can be given on the command-line
r -e 'cat(pi^2, "\n")'
9.869604
But unlike bc(1), GNU R has a vast number of statistical functions. For example, we can quickly compute a summary()
and show a stem-and-leaf plot for file sizes in a given directory via
ls -l /boot | awk 'BEGIN {print "size"} !/^total/ {print $5}' | \
r -de "print(summary(X[,1])); stem(X[,1])"
which produces something like
Min. 1st Qu. Median Mean 3rd Qu. Max.
13 512 110100 486900 768400 4735000
The decimal point is 6 digit(s) to the right of the |
0 | 0000001122222279222
2 | 79444
4 | 71888
6 |
8 |
10 |
12 |
14 | 8
16 | 4
18 |
20 | 333
As we saw in the preceding example, the program can also be shortened like using the new -d
option which reads from stdin and assigns to a data.frame
named X
.
And, last but not least, this (somewhat unwieldy) expression can be stored in a helper script (where we now switch to using an explicit readLines()
on stdin
):
#!/usr/bin/env r
fsizes <- as.integer(readLines(file("stdin")))
print(summary(fsizes))
stem(fsizes)
(where calling #!/usr/bin/env
is a trick from Python which allows one to forget whether r is installed in /usr/bin/r
, /usr/local/bin/r
, ~/bin/r
, …
CRAN package installation
Direct Installation
This is one of my favourite littler scripts which I use frequently to install packages off CRAN.
#!/usr/bin/env r
if (is.null(argv) | length(argv)<1) {
cat("Usage: installr.r pkg1 [pkg2 pkg3 ...]\n")
q()
}
## adjust as necessary, see help('download.packages')
repos <- "http://cran.rstudio.com"
## this makes sense on Debian where no packages touch /usr/local
lib.loc <- "/usr/local/lib/R/site-library"
install.packages(argv, lib.loc, repos)
I invoke it all the time with one, two or more packages to install (or reinstall).
$ install.r digest RcppCNPy
It conveniently installs all dependencies, and uses the chosen target directory, all while keeping my R prompt (or prompts with multiple sessions) free to do other things.
With Command-Line Parsing
Thanks to the fabulous docopt package, we also have a variant with optional settings of repo and location. Below is the updated version from littler 0.2.1:
#!/usr/bin/env r
#
# A second example to install one or more packages, now with option parsing
#
# Copyright (C) 2011 - 2014 Dirk Eddelbuettel
# Copyright (C) 2014 Carl Boettiger and Dirk Eddelbuettel
#
# Released under GPL (>= 2)
## load docopt package from CRAN
suppressMessages(library(docopt)) # we need docopt (>= 0.3) as on CRAN
## configuration for docopt
doc <- "Usage: install.r [-r REPO] [-l LIBLOC] [-h] [-d DEPS] [--error] [PACKAGES ...]
-r --repos REPO repository to install from [default: http://cran.rstudio.com]
-l --libloc LIBLOC location in which to install [default: /usr/local/lib/R/site-library]
-d --deps DEPS Install suggested dependencies as well [default: NA]
-e --error Throw error and halt instead of a warning [default: FALSE]
-h --help show this help text"
## docopt parsing
opt <- docopt(doc)
if (opt$deps == "TRUE" || opt$deps == "FALSE") {
opt$deps <- as.logical(opt$deps)
} else if (opt$deps == "NA") {
opt$deps <- NA
}
## installation given selected options and arguments
if (opt$error) {
withCallingHandlers(
install.packages(pkgs = opt$PACKAGES,
lib = opt$libloc,
repos = opt$repos,
dependencies=opt$deps),
warning = stop)
} else {
install.packages(pkgs = opt$PACKAGES,
lib = opt$libloc,
repos = opt$repos,
dependencies=opt$deps)
}
Installing From Sources
Starting with version 0.2.2, install.r
and install2.r
now recognise installable source files. So one can also do this
$ install.r digest_0.6.8.tar.gz
and the local source file will the installed via a call to R CMD INSTALL
.
Checking Packages
A related use case is to check packages via check.r
. This script run R CMD check
, but also installs package dependencies first as tests may have dependencies not yet satisfied on the test machine.
GitHub package installation
Installation directly from GitHub is also popular, and now supported via a new helper script:
#!/usr/bin/env r
#
# A simple example to install one or more packages from GitHub
#
# Copyright (C) 2014 Carl Boettiger and Dirk Eddelbuettel
#
# Released under GPL (>= 2)
## load docopt and devtools from CRAN
suppressMessages(library(docopt)) # we need docopt (>= 0.3) as on CRAN
suppressMessages(library(devtools))
## configuration for docopt
doc <- "Usage: installGithub.r [-r REPO] [-l LIBLOC] [-h] [-d DEPS] [PACKAGES ...]
-r --repos REPO repository to install from [default: http://cran.rstudio.com]
-l --libloc LIBLOC location in which to install [default: /usr/local/lib/R/site-library]
-d --deps DEPS Install suggested dependencies as well? [default: NA]
-h --help show this help text"
## docopt parsing
opt <- docopt(doc)
if(opt$deps == "TRUE" || opt$deps == "FALSE")
opt$deps <- as.logical(opt$deps)
if(opt$deps == "NA")
opt$deps <- NA
## installation given selected options and arguments
options(repos = opt$repos)
install_github(repo = opt$PACKAGES,
paste("-l =", opt$libloc),
dependencies = opt$deps)
CRAN package update
One of the scripts I use the most (interactively) updates installed packages:
#!/usr/bin/env r
#
# a simple example to update packages in /usr/local/lib/R/site-library
# parameters are easily adjustable
## adjust as necessary, see help('download.packages')
repos <- "http://cran.rstudio.com"
## this makes sense on Debian where no package touch /usr/local
lib.loc <- "/usr/local/lib/R/site-library"
## r use requires non-interactive use
update.packages(repos=repos, ask=FALSE, lib.loc=lib.loc)
As above, it has my preferred mirror and library location hard-wired.
Calling knitr
Here is another convenience script which knits a given file after testing the file actually exists.
#!/usr/bin/r
#
# Simple helper script for knitr
#
# Dirk Eddelbuettel, May 2013
#
# GPL-2 or later
if (is.null(argv)) {
cat("Need an argument FILE.Rnw\n")
q(status=-1)
}
file <- argv[1]
if (!file.exists(file)) {
cat("File not found: ", file, "\n")
q(status=-1)
}
require(knitr)
knit2pdf(file)
Running roxygen
Similar to the previous example, this one uses roxygen to extract documentation from R files – either in the current directory, or in the given directory or directories.
#!/usr/bin/r
#
# Simple helper script for roxygen2::roxygenize()
#
# Dirk Eddelbuettel, August 2013
#
# GPL-2 or later
## load roxygen
library(roxygen2)
## check all command-line arguments (if any are given) for directory status
argv <- Filter(function(x) file.info(x)$is.dir, argv)
## loop over all argument, with fallback of the current directory, and
## call compileAttributes() on the given directory
sapply(ifelse(length(argv) > 0, argv, "."), FUN=roxygenize, roclets="rd")
Compiling Attributes
The next script can be used with Rcpp, and particularly is powerful Attributes feature, in order to auto-generate helper code. It is similar to the preceding script, but invokes compileAttributes()
instead.
#!/usr/bin/r
#
# Simple helper script for compileAttributes()
#
# Dirk Eddelbuettel, July 2014
#
# GPL-2 or later
## load Rcpp
suppressMessages(library(Rcpp))
## check all command-line arguments (if any are given) for directory status
argv <- Filter(function(x) file.info(x)$is.dir, argv)
## loop over all argument, with fallback of the current directory, and
## call compileAttributes() on the given directory
sapply(ifelse(length(argv) > 0, argv, "."), compileAttributes)
Initially created: Wed Aug 27 20:17:20 CDT 2014
Last modified: Sat May 30 08:26:28 CDT 2020