pjt222/agent-almanac

create-r-dockerfile

Create a Dockerfile for R projects using rocker base images. Covers system dependency installation, R package installation, renv integration, and optimized layer ordering for fast rebuilds. Use when containerizing an R application or analysis, creating reproducible R environments, deploying R-based services (Shiny, Plumber, MCP server), or setting up consistent development environments across machines.

First seen Mar 18, 2026

Installation

$ npx skills add pjt222/agent-almanac --skill create-r-dockerfile

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Repository health

Stars 32
License LICENSE
Default branch main
Open issues 151
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0
LicenseMIT
Allowed toolsRead Write Edit Bash Grep Glob
More metadata
author
Philipp Thoss
version
1.0
domain
containerization
complexity
intermediate
language
Docker
tags
docker, r, rocker, container, reproducibility

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,285 B
  • docs SUMMARY.md 432 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

Create R Dockerfile

Build a Dockerfile for R projects using rocker base images with proper dependency management.

When to Use

  • Containerizing an R application or analysis
  • Creating reproducible R environments
  • Deploying R-based services (Shiny, Plumber, MCP server)
  • Setting up consistent development environments

Inputs

  • Required: R project with dependencies (DESCRIPTION or renv.lock)
  • Required: Purpose (development, production, or service)
  • Optional: R version (default: latest stable)
  • Optional: Additional system libraries needed

Procedure

Step 1: Choose Base Image

Use Case Base Image Size
Minimal R runtime rocker/r-ver:4.5.0 ~800MB
With tidyverse rocker/tidyverse:4.5.0 ~1.8GB
With RStudio Server rocker/rstudio:4.5.0 ~1.9GB
Shiny server rocker/shiny-verse:4.5.0 ~2GB

Expected: A base image is selected that matches the project's requirements without unnecessary bloat.

On failure: If unsure which image to use, start with rocker/r-ver (minimal) and add packages as needed. Check rocker-org for the full image catalog.

Step 2: Write Dockerfile

FROM rocker/r-ver:4.5.0

# Install system dependencies
# Group by purpose for clarity
RUN apt-get update && apt-get install -y \
    # HTTP/SSL
    libcurl4-openssl-dev \
    libssl-dev \
    # XML processing
    libxml2-dev \
    # Git integration
    libgit2-dev \
    libssh2-1-dev \
    # Graphics
    libfontconfig1-dev \
    libharfbuzz-dev \
    libfribidi-dev \
    libfreetype6-dev \
    libpng-dev \
    libtiff5-dev \
    libjpeg-dev \
    # Utilities
    git \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Install R packages
# Order: least-changing first for cache efficiency
RUN R -e "install.packages(c( \
    'remotes', \
    'devtools', \
    'renv' \
    ), repos='https://cloud.r-project.org/')"

# Set working directory
WORKDIR /workspace

# Copy renv files first (cache layer)
COPY renv.lock renv.lock
COPY renv/activate.R renv/activate.R

# Restore packages from lockfile
RUN R -e "renv::restore()"

# Copy project files
COPY . .

# Default command
CMD ["R"]

Expected: Dockerfile builds successfully with docker build -t myproject .

On failure: If the build fails during apt-get install, check package names for the target distro (Debian). If renv::restore() fails, ensure renv.lock and renv/activate.R are copied before the restore step.

Step 3: Create .dockerignore

.git
.Rproj.user
.Rhistory
.RData
renv/library
renv/cache
renv/staging
docs/
*.tar.gz

Expected: .dockerignore excludes Git history, IDE files, local renv library, and build artifacts from the Docker context.

On failure: If the Docker build still copies unwanted files, verify .dockerignore is in the same directory as the Dockerfile and uses correct glob patterns.

Step 4: Build and Test

docker build -t r-project:latest .
docker run --rm -it r-project:latest R -e "sessionInfo()"

Expected: Container starts with correct R version and all packages available. sessionInfo() output confirms the expected R version.

On failure: Check build logs for system dependency errors. Add missing -dev packages to the apt-get install layer.

Step 5: Optimize for Production

For production deployments, use multi-stage builds:

# Build stage
FROM rocker/r-ver:4.5.0 AS builder
RUN apt-get update && apt-get install -y libcurl4-openssl-dev libssl-dev
COPY renv.lock .
RUN R -e "install.packages('renv'); renv::restore()"

# Runtime stage
FROM rocker/r-ver:4.5.0
COPY --from=builder /usr/local/lib/R/site-library /usr/local/lib/R/site-library
COPY . /app
WORKDIR /app
CMD ["Rscript", "main.R"]

Expected: Multi-stage build produces a smaller final image. Runtime stage contains only compiled R packages, not build tools.

On failure: If packages fail to load in the runtime stage, ensure the library path in COPY --from=builder matches where R installed packages. Check with R -e ".libPaths()" in both stages.

Validation

  • docker build completes without errors
  • Container starts and R session works
  • All required packages are available
  • .dockerignore excludes unnecessary files
  • Image size is reasonable for the use case
  • Rebuilds are fast when only code changes (layer caching works)

Common Pitfalls

  • Missing system dependencies: R packages with compiled code need -dev libraries. Check error messages during install.packages()
  • Layer cache invalidation: Copying all files before installing packages invalidates cache on every code change. Copy lockfile first.
  • Large images: Use rm -rf /var/lib/apt/lists/* after apt-get install. Consider multi-stage builds.
  • Timezone issues: Add ENV TZ=UTC or install tzdata for timezone-aware operations
  • Running as root: Add a non-root user for production: RUN useradd -m appuser && USER appuser

Examples

# Development container with mounted source
docker run --rm -it -v $(pwd):/workspace r-project:latest R

# Plumber API service
docker run -d -p 8000:8000 r-api:latest

# Shiny app
docker run -d -p 3838:3838 r-shiny:latest

Related Skills

  • setup-docker-compose - orchestrate multiple containers
  • containerize-mcp-server - special case for MCP R servers
  • optimize-docker-build-cache - advanced caching strategies
  • manage-renv-dependencies - renv.lock feeds into Docker builds