Devtools 1.6 is now available on CRAN. Devtools makes it so easy to build a package that it becomes your default way to organise code, data and documentation. Learn more at http://r-pkgs.had.co.nz/. You can get the latest version with:
We’ve made a lot of improvements to the install and release process:
Installation functions now default to
build_vignettes = FALSE, and only install required dependencies (not suggested). They also store a lot of useful metadata.
install_github() got a lot of love.
install_github("user/repo") is now the preferred way to install a package from github (older forms with explicit username parameter are now deprecated). You can supply the
host argument to install packages from a local github enterprise installation. You can get the latest release with
session_info() uses package installation metdata to show you exactly how every package was installed (locally, from CRAN, from github, …)
release() uses new webform-based submission process for CRAN, as implemented in
You can add arbitrary extra questions to
release() by defining a function
release_questions() in your package. It should return a character vector of questions to ask.
We’ve also added a number of functions to make it easy to get started with various aspects of the package development:
use_data() adds data to a package, either in
data/ (external data) or in
R/sysdata.rda (internal data).
use_data_raw() sets up
data-raw/ for your reproducible data generation scripts.
use_package() sets dependencies and reminds you how to use them.
use_rcpp() gets you ready to use Rcpp.
use_testthat() sets up testing infrastructure with testthat.
use_travis() adds a
.travis.yml file and tells you how to get started with travis ci.
use_vignette() creates a draft vignette using Rmarkdown.
There were many other minor improvements and bug fixes. See the release notes for complete list of changes.
In this series, we walk through lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This third post focuses on features that save you time and trouble.
The RStudio IDE includes a visual markdown editor that displays changes in real-time and provides support for technical writing. This post walks through several features of visual editing mode.