write-vignette
Write Vignette
Create long-form documentation vignettes for R packages.
When to Use
- Adding a "Getting Started" tutorial for a package
- Documenting complex workflows that span multiple functions
- Creating domain-specific guides (e.g., statistical methodology)
- CRAN submission requires user-facing documentation beyond function help
Inputs
- Required: R package with functions to document
- Required: Vignette title and topic
- Optional: Format (R Markdown or Quarto, default: R Markdown)
- Optional: Whether the vignette needs external data or APIs
Procedure
Step 1: Create Vignette File
usethis::use_vignette("getting-started", title = "Getting Started with packagename")
Expected: vignettes/getting-started.Rmd created with YAML frontmatter. knitr and rmarkdown added to DESCRIPTION Suggests field. The vignettes/ directory exists.
On failure: If usethis::use_vignette() fails, verify the working directory is the package root (contains DESCRIPTION). If knitr is not installed, run install.packages("knitr") first. For manual creation, create the vignettes/ directory and file by hand, ensuring the YAML frontmatter includes all three %\Vignette* entries.
Step 2: Write Vignette Content
---
title: "Getting Started with packagename"
output: rmarkdown::html_vignette
vignette: >
%\VignetteIndexEntry{Getting Started with packagename}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
---
## Introduction
Brief overview of what the package does and who it's for.
## Installation
```r
install.packages("packagename")
library(packagename)
Basic Usage
Walk through the primary workflow:
# Load example data
data <- example_data()
# Process
result <- main_function(data, option = "default")
# Inspect
summary(result)
Advanced Features
Cover optional or advanced functionality.
Conclusion
Summarize and point to other vignettes or resources.
**Expected:** The vignette Rmd file contains Introduction, Installation, Basic Usage, Advanced Features, and Conclusion sections. Code examples use the package's exported functions and produce visible output.
**On failure:** If examples fail to run, verify the package is installed with `devtools::install()`. Ensure examples use the package name in `library()` calls (not `devtools::load_all()`). For functions requiring external resources, use `eval=FALSE` to show code without execution.
### Step 3: Configure Code Chunks
Use chunk options for different purposes:
```r
# Standard evaluated chunk
{r example-basic}
result <- compute_something(1:10)
result
# Show code but don't run (for illustrative purposes)
{r api-example, eval=FALSE}
connect_to_api(key = "your_key_here")
# Run but hide code (show only output)
{r hidden-setup, echo=FALSE}
library(packagename)
# Set global options
{r setup, include=FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.width = 7,
fig.height = 5
)
Expected: A setup chunk with include=FALSE sets global options (collapse, comment, fig.width, fig.height). Chunks are configured appropriately: eval=FALSE for illustrative code, echo=FALSE for hidden setup, and standard chunks for interactive examples.
On failure: If chunk options are not taking effect, verify the syntax uses {r chunk-name, option=value} format (comma-separated, no quotes around logical values). Check that the setup chunk runs first by placing it at the top of the document.
Step 4: Handle External Dependencies
For vignettes that need network access or optional packages:
{r check-available, include=FALSE}
has_suggested <- requireNamespace("optionalpkg", quietly = TRUE)
{r use-suggested, eval=has_suggested}
optionalpkg::special_function()
For long-running computations, pre-compute and save results:
# Save pre-computed results to vignettes/
saveRDS(expensive_result, "vignettes/precomputed.rds")
# Load in vignette
{r load-precomputed}
result <- readRDS("precomputed.rds")
Expected: External dependencies are handled gracefully: optional packages are conditionally loaded with requireNamespace(), network-dependent code uses eval=FALSE or tryCatch(), and expensive computations use pre-computed .rds files.
On failure: If the vignette fails on CRAN due to unavailable optional packages, wrap those sections with a conditional variable (e.g., eval=has_suggested). For pre-computed results, ensure the .rds file is included in the vignettes/ directory and referenced with a relative path.
Step 5: Build and Test Vignette
# Build single vignette
devtools::build_vignettes()
# Build and check (catches vignette issues)
devtools::check()
Expected: Vignette builds without errors. HTML output is readable.
On failure:
- Missing pandoc: Set
RSTUDIO_PANDOCin.Renviron - Package not installed: Run
devtools::install()first - Missing Suggests: Install packages listed in DESCRIPTION Suggests
Step 6: Verify in Package Check
devtools::check()
Vignette-related checks: builds correctly, doesn't take too long, no errors.
Expected: devtools::check() passes with no vignette-related errors or warnings. The vignette builds within CRAN time limits (typically under 60 seconds).
On failure: If the vignette causes check failures, common fixes include: adding missing Suggests packages to DESCRIPTION, reducing build time with eval=FALSE on slow chunks, and ensuring VignetteIndexEntry matches the title. Run devtools::build_vignettes() separately to isolate vignette-specific errors.
Validation
- Vignette builds without errors via
devtools::build_vignettes() - All code chunks execute correctly
- VignetteIndexEntry matches the title
-
devtools::check()passes with no vignette warnings - Vignette appears in pkgdown site articles (if applicable)
- Build time is reasonable (< 60 seconds for CRAN)
Common Pitfalls
- VignetteIndexEntry mismatch: The index entry in YAML must match what you want users to see in
vignette(package = "pkg") - Missing
vignetteYAML block: All three%\Vignette*lines are required - Vignette too slow for CRAN: Pre-compute results or use
eval=FALSEfor expensive operations - Pandoc not found: Ensure
RSTUDIO_PANDOCenvironment variable is set - Self-referencing package: Use
library(packagename)notdevtools::load_all()in vignettes
Related Skills
write-roxygen-docs- function-level docs complement vignette tutorialsbuild-pkgdown-site- vignettes appear as articles on pkgdown sitesubmit-to-cran- CRAN has specific vignette requirementscreate-quarto-report- Quarto as an alternative to R Markdown vignettes