bio-reporting-rmarkdown-reports

name	bio-reporting-rmarkdown-reports
description	Creates reproducible R Markdown analysis reports (HTML, PDF, Word) with knitr, covering the render pipeline, the interactive-vs-knit session trap, cache invalidation, bookdown cross-references, parameterization, and environment pinning. Use when generating an R-based analysis report, debugging a report that knits differently than it runs interactively, or fixing caching or cross-references.
goal_approach_exempt	true
origin	openai4s
category	bioskills/reporting
metadata	{"tool_type":"r","primary_tool":"rmarkdown","third_party":{"name":"GPTomics/bioSkills","repository":"https://github.com/GPTomics/bioSkills","commit":"d91ed3d563019e649dc854c56ccd62551359488a","license":"MIT"}}

Version Compatibility

Reference examples tested with: rmarkdown 2.25+, knitr 1.45+, bookdown 0.37+, DESeq2 1.42+, ggplot2 3.5+, DT 0.31+, kableExtra 1.4+

Before using code patterns, verify installed versions match. If versions differ:

• R: packageVersion('<pkg>') then ?function_name to verify parameters

If code throws an error, introspect the installed package (?rmarkdown::render, ?knitr::opts_chunk) and adapt the example to the actual API rather than retrying.

R Markdown Reports

"Create an R Markdown report" -> Write an R-centric document combining code chunks, results, and narrative that knits to HTML/PDF/Word.

• R: rmarkdown::render('report.Rmd'), or the Knit button in RStudio

The Pipeline: knitr, Then Pandoc

An .Rmd always renders in two stages: knitr executes the chunks and weaves the results into an intermediate .md, then pandoc converts that .md into the target format (LaTeX via a TeX engine for PDF). knitr is the only execution engine for .Rmd (other languages run only as knitr engines); it is the successor to Sweave, adding caching, hooks, and markdown hosting. rmarkdown::render() orchestrates both stages. Knowing the split explains most failures: a chunk error is knitr; a formatting or cross-reference problem is usually pandoc/bookdown.

The "Works Interactively, Fails on Knit" Trap

This is the single most common reproducibility surprise. rmarkdown::render() defaults to envir = parent.frame(), so calling it from the console evaluates chunks in the caller's environment - it can SEE objects sitting in the interactive global env. The RStudio Knit button does NOT: it spawns a fresh, clean R session. So a report that relies on a df created interactively renders fine via render() from the console, then fails when a colleague clicks Knit or CI runs it, because the fresh session has no df.

Guards:

• Treat the document as self-sufficient - every object must be CREATED in a chunk, never assumed present.
• To mimic the button before trusting a report, render in isolation: rmarkdown::render('r.Rmd', envir = new.env()), or in a fresh process via callr::r(...) / xfun::Rscript_call(rmarkdown::render, ...).

Caching: cache Keys on Code, Not Data

cache=TRUE stores a chunk's result in a *_cache/ dir and reloads it on re-knit if the chunk is "unchanged" - where the cache key is an MD5 of the chunk CODE plus evaluating options. The footgun: if a chunk reads data.csv and the FILE changes but the chunk code is byte-identical, the hash is unchanged and knitr serves the STALE cached result. Bind the data into the key:

```{r de-analysis, cache=TRUE, cache.extra=tools::md5sum('counts.csv')}
dds <- DESeq(DESeqDataSetFromMatrix(counts, metadata, ~ condition))
```

Cross-chunk dependencies are not tracked automatically either: if chunk B uses an object from chunk A, editing A does not invalidate B's cache by default - declare dependson='de-analysis' (or autodep=TRUE, best-effort).

The Working-Directory Trap

knitr evaluates chunks with the working directory set to the directory of the .Rmd, NOT the project root. So read.csv('data/x.csv') works when run interactively from the project root but breaks on knit if the .Rmd lives in reports/. Fixes, in order of preference: here::here('data/x.csv') (anchors to the project root, most robust); knitr::opts_knit$set(root.dir = '...') in the setup chunk (note opts_knit, not opts_chunk); or rmarkdown::render('r.Rmd', knit_root_dir = '...'). Never setwd() in a chunk - it desyncs figure/cache file placement.

Cross-References Require bookdown

Base rmarkdown CANNOT cross-reference figures, tables, sections, or equations. Use a bookdown output format - bookdown::html_document2, bookdown::pdf_document2, bookdown::word_document2 - which add numbering and \@ref(type:label). Two hard requirements: the figure/table chunk must be LABELED, and it must have a CAPTION (fig.cap=); a captionless figure is emitted unnumbered and cannot be referenced.

output:
  bookdown::html_document2:
    toc: true

```{r volcano, fig.cap="Volcano plot of differential expression"}
plot(res$log2FoldChange, -log10(res$pvalue))
```
See Figure \@ref(fig:volcano).

(Quarto has native cross-references without bookdown - see reporting/quarto-reports.)

Parameterized Reports

Declare defaults in YAML and read them as a read-only list:

params:
  count_file: "counts.csv"
  fdr_threshold: 0.05

counts <- read.csv(params$count_file)
```

Override per render and loop over samples:

rmarkdown::render('report.Rmd', params = list(count_file = 'sampleB.csv'),
                  output_file = 'sampleB_report.html')

rmarkdown::render(..., params = 'ask') launches the "Knit with Parameters" UI.

Document Basics, Tables, and Output

---
title: "RNA-seq Report"
date: "`r Sys.Date()`"
output:
  html_document:
    toc: true
    toc_float: true
    code_folding: hide
    self_contained: true   # base64-embed assets into one portable HTML
---

A setup chunk with knitr::opts_chunk$set(echo=TRUE, message=FALSE, warning=FALSE, fig.width=10) sets document-wide defaults. Section tabs use ## Results {.tabset}. Inline results splice with `r ...`. For tables: knitr::kable() + kableExtra for STATIC publication tables; DT::datatable() for INTERACTIVE HTML exploration - DT is a JavaScript widget, not for print/PDF, and it inflates the HTML (see reporting/publication-tables for the formatted-table decision). self_contained: true (default for html_document) embeds all assets into one portable file at a size cost; htmlwidgets get inlined too.

The Document Captures Code, Not the Environment

rmarkdown does not pin package versions or R itself. A report that knits perfectly today can change output next year when a dependency updates. The document gives byte-reproducible output only if code, data, AND versions are unchanged - and versions are not in the repo unless pinned. Add renv::snapshot() (renv.lock, commit it) for package pinning, and a container (Docker/Apptainer) when the OS, TeX, and pandoc must also be fixed. End the report with sessionInfo() / sessioninfo::session_info() - provenance for the reader, not a restore mechanism. Seed any stochastic step (set.seed).

Common Errors

Symptom	Cause	Fix
Renders from console, fails on Knit	render sees globals (parent.frame); Knit uses a fresh session	make every object chunk-created; test with envir=new.env()
Stale results after editing data	cache keys on code, not data	cache.extra=tools::md5sum('data.csv')
read.csv('data/..') fails on knit	working dir = .Rmd folder, not project root	here::here() or knit_root_dir=
\@ref(fig:x) shows as ??	base rmarkdown can't cross-ref, or no caption/label	bookdown *_document2 + chunk label + fig.cap
Edited upstream chunk, downstream cache stale	dependencies not tracked	dependson= or autodep=TRUE
Report changes output months later	environment not pinned	renv.lock + container; seed RNGs
PDF knit fails	no LaTeX	tinytex::install_tinytex()

Related Skills

• reporting/quarto-reports - Successor with native cross-references and multi-language support
• reporting/publication-tables - Formatted static tables (gt/gtsummary/flextable) for reports
• reporting/figure-export - Exporting the report's figures for publication
• differential-expression/de-results - The analysis these reports typically present

References

• Xie Y. Dynamic Documents with R and knitr. 2nd ed. Chapman & Hall/CRC; 2015
• Xie Y. bookdown: Authoring Books and Technical Documents with R Markdown. Chapman & Hall/CRC; 2016
• Xie Y, Allaire JJ, Grolemund G. R Markdown: The Definitive Guide. Chapman & Hall/CRC; 2018
• Xie Y, Dervieux C, Riederer E. R Markdown Cookbook. Chapman & Hall/CRC; 2020