We show and discuss a few of the files included in the inst/examples/ source directory of littler (which becomes the examples/ directory once installed). In a few cases we remove comment lines to keep things more concise on this page. We use $ to denote a shell (i.e. terminal) prompt.
littler can be used directly on the command-line just like, say, bc:
$ echo 'cat(pi^2,"\n")' | r
9.869604Equivalently, commands that are to be evaluated can be given on the command-line
$ r -e 'cat(pi^2, "\n")'
9.869604But 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, …).
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 RcppCNPyIt 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.
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 - 2015 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)
}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.gzand the local source file will the installed via a call to R CMD INSTALL.
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.
Installation directly from GitHub is also popular. Here is an example:
$ installGithub.r RcppCore/RcppEigen Installing from github is supported via the following helper script:
#!/usr/bin/env r
#
# A simple example to install one or more packages from GitHub
#
# Copyright (C) 2014 - 2015 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 [-h] [-d DEPS] REPOS...
-d --deps DEPS Install suggested dependencies as well? [default: NA]
-h --help show this help text
where REPOS... is one or more GitHub repositories.
Examples:
installGithub.r RcppCore/RcppEigen
installGithub.r is part of littler which brings 'r' to the command-line.
See http://dirk.eddelbuettel.com/code/littler.html for more information.
"
## 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
}
invisible(sapply(opt$REPOS, function(r) install_github(r, dependencies = opt$deps)))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.
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)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)$is.dir, argv)
## loop over all argument, with fallback of the current directory, and
## call compileAttributes() on the given directory
sapply(ifelse(length(argv) > 0, argv, "."), FUN=roxygenize, roclets="rd")The next script can be used with Rcpp, and particularly is powerful Attributes feature, in order to auto-generate helper code. It is similar to the preceding script, but invokes compileAttributes() instead.
#!/usr/bin/r
#
# Simple helper script for compileAttributes()
#
# Dirk Eddelbuettel, July 2014
#
# GPL-2 or later
## load Rcpp
suppressMessages(library(Rcpp))
## check all command-line arguments (if any are given) for directory status
argv <- Filter(function(x) file.info(x)$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)