RStudio Package Manager 1.0.8 – System Requirements

April 17, 2019
By

(This article was first published on RStudio Blog, and kindly contributed to R-bloggers)

Installing R packages on Linux systems has always been a risky affair. In RStudio
Package Manager 1.0.8, we’re giving administrators and R users the information
they need to make installing packages easier. We’ve also made it
easier to use Package Manager offline and improved search performance.

New to RStudio Package Manager?

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today to see how RStudio Package Manager can help you, your team, and your
entire organization access and organize R packages. Learn more with our online
demo server
or latest webinar.

System prerequisites for R packages

Updates

Introducing System Prerequisites

R packages can depend on one another, but they can also depend on software
external to the R ecosystem. On Ubuntu 18.04, for example, in order to install the curl R package, you must have previously run apt-get install libcurl. R
packages often note these dependencies inside their DESCRIPTION files, but this
information is free-form text that varies by package. In the past, system
administrators would need to manually parse these files. In order to install
ggplot2, you’d need to look at the system requirements for ggplot2 and all
its dependencies. This labor-intensive process rarely goes smoothly. Frequently,
system dependencies are not be uncovered until a package failed to install,
often with a cryptic error message that can leave R users and administrators frantically
searching StackOverflow.

To address this problem, we’ve begun cataloging and testing
system
prerequisites
.
The result is a list of install commands available for administrators and R
users. We’ve tested this list by installing all 14,024 CRAN packages across six
Linux distributions.

For any package, Package Manager shows you if there are system pre-requisites
and the commands you can use to install them. Today this support is limited to
Linux, but we plan to support Windows and Mac requirements in the future.
Package Manager automatically rolls up prerequisites for dependent R packages.
As an example, the httr R package depends on the curl package which depends
on libcurl. Package Manager will show the libcurl prerequisite for the
httr package–and for all of httr’s reverse dependencies!

New Offline and Air-Gapped Downloader

In most cases, RStudio Package Manager provides the checks and governance
controls needed by IT to bridge the gap between offline production systems and
RStudio’s public CRAN service. However, in certain cases it may be necessary to
run RStudio Package Manager offline. Version 1.0.8 introduces a new
tool
to help offline
customers. A new utility has been created to make cloning packages into an
air-gapped environment safe and fast.

Other Improvements

In addition to these major changes, the new release includes the following updates:

  • Support for using Amazon S3 for storage is out of beta and ready for production systems.
  • Logs for Git sources have been improved, making it easier to track down cases where a repository fails to build.
  • Package search and listing performance has been significantly improved.
  • The support for README files introduced in version 1.0.6 has been expanded to better support READMEs with links, badges, and images.

Even more README support

Please review the full release notes.

Upgrade Planning

Upgrading to 1.0.8 from 1.0.6 will take less than five minutes. If you are
upgrading from an earlier version, be sure to consult the release notes for the
intermediate releases, as well.

Don’t see that perfect feature? Wondering why you should be worried about
package management? Want to talk about other package-management strategies?
Email us, our product team is happy to help!

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