Getting started
Apart from installing roxyPackage
and having written
some R code, no further requirements for building your first R package
need to be fulfilled. I tried to keep the dependencies for
roxyPackage
to a minimum, and basically they come down to
roxygen2
(used to generate the documentation) and
XiMpLe
(used to generate the HTML and RSS files of
the repository).
To demonstrate this, we will start with an extremely simple one:
Let’s assume you would like to have an R package called “examplePackage”
and have just written a first function for it, called “simpleExample”,
which does nothing but return NULL
:
simpleExample <- function(){NULL}
To transform this code into a package, save it as a file called
"examplePackage/R/simpleExample.R"
, that is, create a
directory with the package name and in it another one named
"R"
. If you were to create the package manually, you would
now at least write a DESCRIPTION
file with meta information
like the license, version number and release date, a
NAMESPSACE
file to export the function so it can acually be
seen and used after the package was loaded, and a
*-package.Rd
file, which has the meta information in Rd
format so it’s accessible via the R help system. In a minute, all of
this will be done automatically by roxyPackage
.
Before this, we need to add at least one roxygen2
command to the function code, which will make sure that the function is
exported and user accessible:
#' @export
simpleExample <- function(){NULL}
This must be done for every function, class etc. you would like to
export. But that’s about it – we can now call
roxy.package()
to create a valid R package. You only have
to tell the function a few things:
- where is the source directory of the package (e.g.,
"~/myRcode/examplePackage"
)?
- where is the R library the package can be installed to (e.g.,
"~/R"
)?
- in which directory should the repository be created (e.g.,
"~/myRcode/repo"
)?
- what is the package version number, description, author, its
dependencies etc.?
This is what such a call could look like:
roxy.package(
pck.source.dir="~/myRcode/examplePackage",
pck.version="0.01-1",
R.libs="~/R",
repo.root="~/myRcode/repo",
pck.description=package_description(
Package="examplePackage",
Type="Package",
Title="An R Example Package",
AuthorsR="c(person(given=\"Ernst\", family=\"Dölle\",
email=\"[email protected]\",
role=c(\"aut\", \"cre\")))",
Depends="R (>= 3.0.0)",
Description="Provides a great function to produce NULL results.",
License="GPL (>= 3)",
Encoding="UTF-8",
LazyLoad="yes",
URL="https://example.com/doelleInnovations"
)
)
We’re using a function called package_description()
to
set pck.description
. It returns a simple
data.frame
which is used for the DESCRIPTION
file. You can alternative use any ordinary data.frame
as
long as it only includes valid DESCRIPTION
fields except
“Version:” and “Date:”, as these have their own parameters
(pck.version
and pck.date
, which defaults to
Sys.Date()
), and Authors@R
was simplified to
AuthorsR
.
At a first glance this maybe look like a lot. But as you can see,
except for of course the version number and release date, most of this
information will probably remain the same over time, so you can write
all of this in a script and then run the script to generate/update your
package.
If you run the above call to roxy.package()
, the R
console will display verbose status information:
R environment
R.home: /usr/lib/R
R.libs: ~/R
repo: created ~/myRcode/repo/pckg/examplePackage.
Updating collate directive in /home/user/myRcode/examplePackage/DESCRIPTION
Updating namespace directives
Writing examplePackage-package.Rd
repo: created ~/myRcode/repo/src/contrib.
repo: examplePackage_0.01-1.tar.gz copied to src/contrib.
* installing *source* package ‘examplePackage’ ...
** R
** preparing package for lazy loading
** help
*** installing help indices
** building package indices ...
** testing if installed package can be loaded
* DONE (examplePackage)
build: package built and installed.
Processing packages:
/home/user/myRcode/repo/src/contrib/examplePackage_0.01-1.tar.gz
done
repo: src/contrib/PACKAGES (unix) updated.
Now, if you inspect the project directory, you will see that the new
files DESCRIPTION
, NAMESPACE
,
R/examplePackage-package.R
and
man/examplePackage-package.Rd
have been added, and you will
also find a directory structure in the specified repository
location.
Why the local repository?
If you build a package of your R code you probably want to share your
work with others. Of course you can upload your package to CRAN. But
there might be reasons to have your own repository, for example, if your
release pace is considerably higher than the volunteers running CRAN are
able to cope with.
Since roxyPackage
needed to save its packages somewhere
anyway, i chose to organize this place like a proper R package
repository. So effectively, you can simply copy the generated repository
directory to your webserver, and you’re done. Packages in that
repository can then easily be installed from an R session:
install.packages("examplePackage", repos="https://myRepoURL.example.com")
If you’re running a Debian GNU/Linux based system,
roxyPackage
can also “debianize” your package, build
Debian source and binary packages, and add an additional Debian package
repository hosting your R packages (see "deb"
action
below).
More actions
The tasks performed at each call of roxy.package()
are
called “actions”. The default is to run the actions "roxy"
and "package"
, i.e., roxygenize the code documentation and
build/install the source package.
There are a number of additional actions, and most of them run out of
the box without the need to provide more information:
"cite"
: Use the data from pck.description
to write a proper CITATION file.
"license"
: Try to detect the software license of this
package from the “License” info in pck.description
, and add
a copy as the LICENSE file; will let you know if it doesn’t know the
license you specified.
"doc"
: Update pdf documentation, including vignettes if
found in inst/doc
.
"buildVignettes"
: If you’ve added vignettes in
RMarkdown format and want the vignette index to be updated, use this
action. Have a look at rnw2rmd()
if you want to translate
older SWeave vignettes into RMarkdown.
"cleanRd"
: If some lines in the generated
*.Rd
files torn out to be too long, this action reformats
the file properly.
"readme"
: Generate initial README.md
file
(optionally including a GitHub URL).
"log"
: Generate initial ChangeLog
or
update a present ChangeLog
file.
"cl2news"
: Look for a ChangeLog
file in
the package root directory, and translate it into an
inst/NEWS.Rd
file.
"news2rss"
: Look for an inst/NEWS.Rd
file
and translate it into an RSS feed for the repository; you need to
provide a value for the URL
parameter for this to work,
where the URL should point to the root location where your repository is
available.
"html"
: Generate updated HTML index files throughout the
repository, very similar to the HTML pages CRAN provides for its
packages; will also include links to the RSS feed and provide HTML
versions of the citation info and news/changelog.
"win"
: Build a Windows binary package (only works for
pure R packages).
"macosx"
: Build a macOS binary package (only works for
pure R packages).
"deb"
: Build Debian source and/or binary packages (only
works on Debian based operating systems); this will also set up a Debian
package repository inside the defined repository directory and generate
the documentation on how to use it, and also needs the
URL
parameter to work, as well as probably additional
configuration via the deb.options
parameter.
"check"
: Run R CMD check
on the
package.
"binonly"
: (Re-)build & install the package,
binaries only. Useful if you need to repackage your Windows, macOS or
Debian packages but don’t want to touch the sources.
So, let’s re-run roxy.package()
, to get a copy of the
GPL into our sources, HTML index files for the repository and
information on how to cite the package properly:
roxy.package(
pck.source.dir="~/myRcode/examplePackage",
pck.version="0.01-1",
R.libs="~/R",
repo.root="~/myRcode/repo",
pck.description=package_description(
Package="examplePackage",
Type="Package",
Title="An R Example Package",
AuthorsR="c(person(given=\"Ernst\", family=\"Dölle\",
email=\"[email protected]\",
role=c(\"aut\", \"cre\")))",
Depends="R (>= 3.0.0)",
Description="Provides a great function to produce NULL results.",
License="GPL (>= 3)",
Encoding="UTF-8",
LazyLoad="yes",
URL="https://example.com/doelleInnovations"
),
actions=c(
"roxy",
"cite",
"html",
"license",
"package"
))
This is what we’re told:
R environment
R.home: /usr/lib/R
R.libs: ~/R
license: saved a copy of the GNU General Public License (GPL) as LICENSE
Updating collate directive in /home/user/myRcode/examplePackage/DESCRIPTION
cite: updated ~/myRcode/examplePackage/inst/CITATION.
cite: updated ~/myRcode/repo/pckg/examplePackage/citation.html.
repo: examplePackage_0.01-1.tar.gz copied to src/contrib.
* installing *source* package ‘examplePackage’ ...
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
** building package indices ...
** testing if installed package can be loaded
* DONE (examplePackage)
build: package built and installed.
Processing packages:
/home/user/myRcode/repo/src/contrib/examplePackage_0.01-1.tar.gz
done
repo: src/contrib/PACKAGES (unix) updated.
html: created CSS file ~/myRcode/repo/pckg/web.css
html: copied RSS image to ~/myRcode/repo/pckg/feed-icon-14x14.png
html: updated ~/myRcode/repo/pckg/examplePackage/index.html
html: updated pckg index ~/myRcode/repo/pckg/index.html
html: updated global index ~/myRcode/repo/index.html
Handling ChangeLogs
roxyPackage
will try its best to be of help when it
comes to handling the ChangeLog
of your package. The
"log"
action can generate an initial log file in a valid
format that the other actions can parse (see ChangeLog format). It can also update log
entries and add new ones (see Maintaining a ChangeLog).
Maintaining a ChangeLog
It’s OK to maintain your ChangeLog manually with an editor of your
choice, as long as you stick to a valid format. To make this even
easier, roxyPackage
has some dedicated functions and
methods to deal with ChangeLogs . Typically, you want to add entries to the
package version you are currently working on, to document what has been
changed, added or fixed. You can do this directly within a
roxy.package()
call, using the "log"
action in
combination with a list of items given to the ChangeLog
argument:
roxy.package(
pck.source.dir="~/myRcode/examplePackage",
pck.version="0.01-1",
R.libs="~/R",
repo.root="~/myRcode/repo",
pck.description=package_description(
Package="examplePackage",
Type="Package",
Title="An R Example Package",
AuthorsR="c(person(given=\"Ernst\", family=\"Dölle\",
email=\"[email protected]\",
role=c(\"aut\", \"cre\")))",
Depends="R (>= 3.0.0)",
Description="Provides a great function to produce NULL results.",
License="GPL (>= 3)",
Encoding="UTF-8",
LazyLoad="yes",
URL="https://example.com/doelleInnovations"
),
actions=c(
"roxy",
"cite",
"html",
"license",
"log",
"package"
),
ChangeLog=list(
added=c("new extra NULL feature", "new oblivion matrix"),
fixed=c("finally resolved the reandom results bug")
)
)
This would generate a new log entry for version 0.01-1 if none is
present, otherwise the entries in the named ChangeLog
list
would be appended to the existing entry and its date stamp updated. In
the list, the element names are treated as the names of log sections,
and each character string as a log entry item of that section. Duplicate
items will be ignored automatically, so you can simply append new ones
to the list as you see fit. However, it wouldn’t hurt to check the log
from time to time, to convince yourself it’s still in shape.
Archiving packages
At some point, you might want to move old packages to an archive
location. This can also be done automatically with this package, by
calling archive.packages()
. If you do that and only include
your local repository location as an argument, this function will do
nothing but print what it would actually do if you want it to. You can
then tweak its parameters to your liking, and if you would like to go
for it, set reallyDoIt=TRUE
.
No more excuses: Generating template files
Imagine you just wrote a new function or two and would like to share
your work with others. But when you try to remember how to write
sufficient roxygen2
documentation, your motivation
disappears. Well, roxyPackage
comes to the rescue: It can
write template files for you, prefilled with some usefull tags and hints
which should leave you with no more excuses. Depending on the arguments
given to templateFile()
, you can see the script code on
screen or write it directly to a file:
# you can re-use the package description here, but only a
# subset of it's data is needed for templates
pckg.dscrptn <- data.frame(
Package="examplePackage",
Author="Ernst A. Dölle <[email protected]>",
License="GPL (>= 3)",
stringsAsFactors=FALSE
)
cat(
templateFile(
name="exampleFunction",
pck.description=pckg.dscrptn
)
)
# Copyright (C) 2017 Ernst A. Dölle <[email protected]>
#
# This file is part of the R package examplePackage.
#
# examplePackage is free software: You can redistribute it and/or modify
# it under the terms of the GNU General Public License (GPL) as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# examplePackage is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# licence terms for more details.
#
# You should have received a copy of the license with the source
# package as the file COPYING or LICENSE. If not, see
# <http://www.gnu.org/licenses/>.
#' Function exampleFunction
#'
#' \code{\link[:]{}}
#'
#' @section <section>:
#' \describe{
#' \item{\code{}:} {}
#' }
#'
#' itemize{
#' \item{\code{}} {:}
#' }
#'
#' @note
#'
#' @param obj An object of class someClass.
#' @param ... Additional arguments passed through to \code{\link[somepackage]{somefunction}}.
#' @return An object of class \code{\link[aPackage]{aFunction-class}}.
#' @references <ref>
#' @seealso \code{\link[aPackage]{aFunction}}.
#' @keywords functions
#' @rdname exampleFunction
#' @export
#' @examples
#' \dontrun{
#' exampleFunction()
#' }
exampleFunction <- function(
obj=someClass(),
...
){
}
In addition tu documenting R functions, templateFile()
can also produce useful templates for S4 classes and methods.