name: write-vignette
locale: caveman-ultra
source_locale: en
source_commit: 82c77053
translator: "Julius Brussee homage — caveman"
translation_date: "2026-05-03"
description: >
Create R package vignettes using R Markdown or Quarto. Covers
vignette setup, YAML configuration, code chunk options, building
and testing, and CRAN requirements for vignettes. Use when adding a
Getting Started tutorial, documenting complex workflows spanning multiple
functions, creating domain-specific guides, or when CRAN submission
requires user-facing documentation beyond function help pages.
license: MIT
allowed-tools: Read Write Edit Bash Grep Glob
metadata:
author: Philipp Thoss
version: "1.0"
domain: r-packages
complexity: basic
language: R
tags: r, vignette, rmarkdown, documentation, tutorial
Write Vignette
Long-form doc vignettes for R pkgs.
Use When
- "Getting Started" tutorial for pkg
- Doc complex workflows across multi fns
- Domain-specific guides (stat methodology)
- CRAN submission requires user-facing docs beyond fn help
In
- Required: R pkg w/ fns to doc
- Required: Vignette title + topic
- Optional: Format (R Markdown or Quarto, default: R Markdown)
- Optional: Vignette needs external data|APIs?
Do
Step 1: Vignette File
usethis::use_vignette("getting-started", title = "Getting Started with packagename")
Got: vignettes/getting-started.Rmd created w/ YAML frontmatter. knitr + rmarkdown added to DESCRIPTION Suggests. vignettes/ dir exists.
If err: usethis::use_vignette() fails → verify cwd is pkg root (contains DESCRIPTION). knitr not installed → install.packages("knitr") first. Manual: create vignettes/ dir + file by hand, ensure YAML has all 3 %\Vignette* entries.
Step 2: 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:
```r
# 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.
Got: Vignette Rmd has Intro, Install, Basic Usage, Advanced, Conclusion. Code uses pkg's exported fns + produces visible out.
If err: Examples fail to run → verify pkg installed devtools::install(). Examples use pkg name in library() (not devtools::load_all()). Fns requiring external resources → eval=FALSE to show w/o exec.
Step 3: Code Chunks
Per chunk options:
# 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
)
Got: Setup chunk w/ include=FALSE sets global opts (collapse, comment, fig.width, fig.height). Chunks configured: eval=FALSE for illustrative, echo=FALSE for hidden setup, std for interactive examples.
If err: Chunk opts not taking effect → verify syntax {r chunk-name, option=value} (comma-separated, no quotes around logicals). Setup chunk runs first → place at top.
Step 4: External Deps
Vignettes needing net access|optional pkgs:
{r check-available, include=FALSE}
has_suggested <- requireNamespace("optionalpkg", quietly = TRUE)
{r use-suggested, eval=has_suggested}
optionalpkg::special_function()
Long-running computations → pre-compute + save:
# Save pre-computed results to vignettes/
saveRDS(expensive_result, "vignettes/precomputed.rds")
# Load in vignette
{r load-precomputed}
result <- readRDS("precomputed.rds")
Got: External deps handled gracefully: optional pkgs conditional via requireNamespace(), net-dep code uses eval=FALSE|tryCatch(), expensive computations use pre-computed .rds.
If err: Vignette fails on CRAN due to unavail optional pkgs → wrap w/ conditional var (eval=has_suggested). Pre-computed → ensure .rds in vignettes/ + ref'd via relative path.
Step 5: Build + Test
# Build single vignette
devtools::build_vignettes()
# Build and check (catches vignette issues)
devtools::check()
Got: Vignette builds no errs. HTML out readable.
If err:
- Missing pandoc: Set
RSTUDIO_PANDOC in .Renviron
- Pkg not installed:
devtools::install() first
- Missing Suggests: Install pkgs in DESCRIPTION Suggests
Step 6: Verify in Pkg Check
devtools::check()
Vignette-related checks: builds correctly, doesn't take too long, no errs.
Got: devtools::check() passes no vignette-related errs|warnings. Vignette builds within CRAN time limits (typically < 60 sec).
If err: Vignette causes check failures → common fixes: add missing Suggests to DESCRIPTION, reduce build time w/ eval=FALSE on slow chunks, ensure VignetteIndexEntry matches title. Run devtools::build_vignettes() separately to isolate.
Check
Traps
- VignetteIndexEntry mismatch: Index entry in YAML must match what users see in
vignette(package = "pkg")
- Missing
vignette YAML block: All 3 %\Vignette* lines required
- Vignette too slow for CRAN: Pre-compute results or
eval=FALSE for expensive ops
- Pandoc not found: Ensure
RSTUDIO_PANDOC env var set
- Self-referencing pkg:
library(packagename) not devtools::load_all() in vignettes
→
write-roxygen-docs — fn-level docs complement vignette tutorials
build-pkgdown-site — vignettes appear as articles on pkgdown
submit-to-cran — CRAN has specific vignette reqs
create-quarto-report — Quarto as alt to R Markdown vignettes