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https://github.com/r-hub/r-minimal
Minimal Docker images for R
https://github.com/r-hub/r-minimal
Last synced: 3 months ago
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Minimal Docker images for R
- Host: GitHub
- URL: https://github.com/r-hub/r-minimal
- Owner: r-hub
- Created: 2019-12-16T13:49:47.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2024-06-24T07:07:49.000Z (5 months ago)
- Last Synced: 2024-06-24T08:30:07.374Z (5 months ago)
- Language: Shell
- Homepage:
- Size: 269 KB
- Stars: 150
- Watchers: 8
- Forks: 32
- Open Issues: 3
-
Metadata Files:
- Readme: README.Rmd
Awesome Lists containing this project
- jimsghstars - r-hub/r-minimal - Minimal Docker images for R (Shell)
README
---
output: github_document
editor_options:
markdown:
wrap: 72
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
out.width = "100%"
)
```
# Minimal Docker images for R
## What is R?
R is a free software environment for statistical computing and graphics.
It compiles and runs on a wide variety of UNIX platforms, Windows and
MacOS. See more at
## Goals and features
The main goal of these images is to keep them minimal, so they can be used
as part of a bigger (web) application, or as a base image. Currently the
(R 4.1.0) `r-minimal` image is less than 21MB compressed, and 35.4MB
uncompressed.
All images use Alpine Linux.
The images include the `installr` tools that can install R packages from
CRAN or GitHub:
```
❯ installr -h
Usage: ./installr [ -c | -d ] [ -e ] [ -a pkgs ] [ -t pkgs ] [ -r ] [ -p ] REMOTES ...
Options:
-c install C and C++ compilers and keep them
-d install C and C++ compilers, temporarily
-a install Alpine packages and keep them
-t install Alpine packages, temporarily
-p do not remove pak after the installation (ignored if -r is given).
-e use renv to restore the renv.lock file if present.
REMOTES may be:
* package names from CRAN/Bioconductor, e.g. ggplot2
* slugs of GitHub repos, e.g. tidyverse/ggplot2
* GitHub branch, tag or commit, e.g tidyverse/[email protected]
* URLs to package .tar.gz files, e.g. url::https://x.com/pkg.tar.gz
* path to a local directory, e.g. local::.
```
Recent r-minimal containers use [pak](https://github.com/r-lib/pak) for R
packages installation. If you have problems with pak, or need to install
a package from a source that pak does not support, but the remotes package
does, then install the remotes package first.
## Limitations
To keep the images minimal, they do not include a number of parts and
features that most users would prefer to have for interactive R
development:
* Recommended R packages are not installed.
* Documentation is not included.
* No X11 support.
* No OpenMP support. (But you can configure it for a package, see [examples/data.table](examples/data.table).)
* No JPEG, PNG or TIFF support.
* No Cairo support.
* No Tcl/Tk support.
* No translations, only English.
* The image does not have C, C++ or Fortran compilers.
* Limited time zone data: `GMT`, `UTC` and `America/New_York`, see
below if you need better time zone data.
## Usage
Get the image from
[Docker Hub](https://hub.docker.com/repository/docker/rhub/r-minimal):
```
docker pull docker.io/rhub/r-minimal:latest
```
or from [GitHub Packages](https://github.com/r-hub/r-minimal/packages/92808?version=latest):
```
docker pull docker.pkg.github.com/r-hub/r-minimal/r-minimal:latest
```
## Platforms
All images are available on `linux/amd64` and `linux/arm64` platforms.
## Supported R versions
Currently we support the last patch version of the last five minor R
versions. The `latest` tag always uses the last R release.
```{r, include = FALSE}
source("tools/calculate_tags.R")
```
| image | R version | tags | note |
|-----------|-------------------|------------------------|-------------|
| R devel | `r rv("devel")` | `r rv_tags("devel")` | Built daily |
| R next | `r rv("next")` | `r rv_tags("next")` | Built daily |
| R release | `r rv("release")` | `r rv_tags("release")` | |
| R 4.3.x | `r rv("4.3")` | `r rv_tags("4.3")` | |
| R 4.2.x | `r rv("4.2")` | `r rv_tags("4.2")` | |
| R 4.1.x | `r rv("4.1")` | `r rv_tags("4.1")` | |
| R 4.0.x | `r rv("4.0")` | `r rv_tags("4.0")` | |
| R 3.6.x | `r rv("3.6")` | `r rv_tags("3.6")` | |
## Dockerfile examples
One of our main goals is to be able to use `rhub/r-minimal` as a base
image, and easily add R packages from CRAN or GitHub to it, to create a
new image. Run `installr` from a `Dockerfile` to add R packages to
the `r-minimal` image:
```dockerfile
FROM rhub/r-minimal
RUN installr praise
CMD [ "R", "--slave", "-e", "cat(praise::praise())" ]
```
Package with compiled code:
```dockerfile
FROM rhub/r-minimal
RUN installr -d glue
```
After the package(s) have been installed, `installr` removed the compilers,
as these are typically not needed on the final image. If you want to keep
them use `installr -c` instead of `installr -d`.
Package with system requirements:
```dockerfile
FROM rhub/r-minimal
RUN installr -d -t linux-headers pingr
CMD [ "R", "-q", "-e", "pingr::is_online() || stop('offline')" ]
```
Similarly to compilers, system packages are removed after the R packages
have been installed. If you want to keep (some of) them, use `installr -a`
instead of `installr -t`. (You can also mix the two.)
Using with renv:
To use `renv` to restore the `renv.lock` file, use the `-e` option:
```dockerfile
FROM rhub/r-minimal
COPY .Rprofile .Rprofile
COPY renv renv
COPY renv.lock .
RUN installr -d -e
```
If you copy the entire folder with renv, including the `activate.R` and `.Rprofile`, renv will bootstrap itself with the same version as the lock and restore the packages with the proper versions.
All the necessary compilers and libraries needed at runtime need to be installed with the `-a` and `-t` options.
Please refer to [examples/renv-shiny](examples/renv-shiny) for an example that install shiny and rmarkdown in a container.
## Popular packages:
Hints on installing some popular R packages:
| package | installr command | ~ image size |
|------------|--------------------------------------------------------------------|-----------------------------|
| data.table | See [examples/data.table](examples/data.table) for OpenMP support | 40.3 MB |
| dplyr | `installr -d dplyr` | 47.8 MB |
| ggplot2 | `installr -d -t gfortran ggplot2` | 82.1 MB |
| h2o | See [examples/h2o](examples/h2o). | 408.0 MB |
| knitr | `installr -d knitr` | 79.2 MB |
| shiny | See [examples/shiny](examples/shiny). | 84.1 MB |
| sf | See [examples/sf](examples/sf). | 184.5 MB |
| plumber | See [examples/plumber](examples/plumber). | 103.1 MB |
| rmarkdown | `installr -d rmarkdown` | 161.3 MB (including pandoc) |
| tidyverse | See [examples/tidyverse](examples/tidyverse). | 182.4 MB |
| rstan | See [examples/rstan](examples/rstan). | 344.4 MB |
| xgboost | `installr -d -t "gfortran libexecinfo-dev" -a libexecinfo xgboost` | 59.9 MB |
See also the `Dockerfile`s in the `examples` directory.
> Note that package and system dependencies change over time, so if any
> of these commands do not work any more, please
> [let us know](https://github.com/r-hub/r-minimal).
> See the [Dockerfile](examples/rmarkdown/Dockerfile) for installing pandoc.
## Time zones
The image uses R's internal time zone database, but most time zones are
removed from, to save space. The only supported ones are `GMT`, `UTC` and
`America/New_York`. If you need more time zones, then install Alpine's
time zone package and point R to it:
```
apk add --no-cache tzdata
export TZDIR=/usr/share/zoneinfo
```
See also the discussion at https://github.com/r-hub/r-minimal/issues/24
## Known failures and workarounds
* The ps package needs the `linux-headers` Alpine package at compile time.
Many tidyverse packages depend on ps, so they'll need it as well:
```
installr -d -t linux-headers ps
```
* The arrow package needs a `Makevars` file to add a link flag. See the
example `Dockerfile` in the [examples/arrow](examples/arrow) directory.
* The V8 packagees do not compile on aarch64 machines by default.
On x86_64 it installs fine:
```
installr -d -t curl-dev V8
```
This means that other packages that need V8 (e.g. rstan and prophet)
do not work on aarch64, either.
* To install the magick package, you need both the `imagemagick` and
`imagemagick-dev` Alpine packages, both at install time and run time:
```
installr -d -a "imagemagick imagemagick-dev" -t "curl-dev" magick
```
## License
See for the R licenses
These Dockerfiles are licensed under the MIT License.
© [R Consortium](https://github.com/rconsortium)