Statistical source specimens
Test resampling code and formula-driven modeling
Load either specimen to test arrows, brackets, tildes, pipes, named arguments, and nested calls in an R code to PDF document.
Bootstrap confidence interval
A base R resampling exercise with a fixed seed, vectors, a user function, nested calls, replicate, quantiles, indexed values, and a compact result frame.
Linear-model influence review
A reusable diagnostic function combining a model formula, fitted objects, the base native pipe, transformed columns, ordered indexing, named list output, and factor terms.
Analysis provenance card
An .R file records commands, not the session that gave them meaning
Converting an R file to PDF creates a plain-text script listing. It can show package calls, seeds, formulas, and comments, but not objects in memory, installed package versions, the working directory, or external datasets. Treat it as one item in a reproducible hand-in.
- Accepted source
- .R or .r plain text
- Executable report
- .Rmd / .qmd — render elsewhere
- Serialized objects
- .RData / .rds — not source text
- Best companion note
- R release, packages, data, and seed
Statistical notation under review
Make operators and model intent survive the page break
R compresses meaning into punctuation: arrows assign, a tilde forms a model formula, brackets select structures, and percent signs delimit infix operators. Inspect those marks at the final size.
Keep assignment and comparison distinct
Check `<-`, `->`, `=`, `<`, and `<=` at the chosen size. Do not wrap an arrow, and leave room for informative object names.
Give formulas a complete line of context
Keep `response ~ predictor + factor(group)` beside its model call when possible. Detached continuations make interactions and transformations harder to audit.
Indent pipelines by transformation
For `|>` or `%>%`, start transformations on predictable lines. The native pipe arrived in R 4.1.0, so note the required release for older labs.
Retain comments that explain analytic choices
Retain comments about exclusions, missing values, factor levels, or seeds. Remove narration that only repeats the next function name.
Coursework document profiles
Set the page around the kind of statistical review
A short inference exercise benefits from generous annotation, while a data-preparation appendix often needs denser pages and consistent line references.
Methods assignment
Hypothesis tests, resampling, regression, and simulation exercises
- A4 or Letter
- 12 px text
- Line numbers on
- 2 cm margins
- Method and question in title
Readable punctuation helps an instructor connect a formula, seed, and calculation step with written reasoning.
Data-preparation appendix
Cleaning rules, joins, grouped summaries, and reusable analysis functions
- Match the main report
- 10–11 px text
- Page numbers on
- 1.5 cm margins
- Dataset version in title
A denser listing remains navigable when line numbers and a dataset-specific title anchor review comments.
Practical R timeline
Release context explains what a script expects
A release note in the title or companion file can prevent modern syntax from being judged in an incompatible lab environment.
- R inherited a language for statistical computingThe R Language Definition identifies R as a dialect of S, designed at Bell Laboratories with John Chambers as its principal designer.
- Ross Ihaka and Robert Gentleman began RThe R Project credits the two University of Auckland statisticians as the initial authors before development expanded to the R Core Team and contributors worldwide.
- Base R gained concise functions and a forward pipeThe official NEWS file records the `\(x)` shorthand and native `|>` syntax, both important compatibility signals in printed modern source.
- Happy Hop is the reviewed current releaseThe R Project lists version 4.6.1, released June 24, 2026, as the current release when this page was prepared.
Four different PDF requests
Choose source listing, report, plot, or results deliberately
Saving R work as a PDF can refer to four different outputs. Code2PDF creates the source listing; reports, plots, and results require an R runtime or document toolchain.
Preserved in the PDF
- Functions, control flow, assignments, vectors, lists, data-frame expressions, formulas, namespaces, pipes, strings, and hash comments
- Package-loading statements and file paths as text, without claiming either dependency is present
- Original line sequence and indentation in selectable, searchable, syntax-colored PDF text
- Selected title, line numbers, page numbers, theme, paper, margins, and font size
Not part of this conversion
- R execution, console transcripts, warnings, tests, model summaries, printed tables, knitted results, or session state
- R Markdown or Quarto rendering through knitr, Pandoc, a TeX installation, or an IDE Knit command
- Charts created through `pdf()`, `cairo_pdf()`, ggplot2, base graphics, an RStudio graphics device, or plot export
- Dataset contents, package installation, project files, notebooks, serialized objects, or reverse conversion from PDF
Reproducibility hand-off
Pair the source PDF with facts the source cannot prove
Decide whether the grader needs readable code, reproducible execution, or a finished report.
- 01
Run the script with the intended R release, packages, locale, working directory, data, and permissions.
- 02
Record `sessionInfo()` or a dependency lockfile separately when package versions could change calculations or syntax.
- 03
Keep `set.seed()` near the stochastic work and state how any input dataset was obtained, cleaned, and versioned.
- 04
Remove tokens, student records, personal paths, unpublished observations, database credentials, and environment secrets.
- 05
Inspect assignment arrows, formula tildes, indexing brackets, namespace operators, percent operators, long pipelines, and non-ASCII labels.
- 06
Download R code as PDF, reopen it, search for a function name, select a line, and confirm that page and line references match the preview.
R source and report questions
Answers for scripts, RStudio, plots, and knitted documents
How to convert R file to PDF without running it?
Open the plain .R file or paste its contents, select the document settings, inspect the pages, and download. This convert R file to PDF workflow treats every command as source text.
Can I save an R script as a PDF for an assignment?
Yes when the assignment requests a readable source listing. Keep the executable .R file and required data separately if the marker must reproduce the analysis.
How do I export R code to a PDF file from RStudio?
Save the Source pane document as an .R script, then open that file here. This exports the script text, not the Console, Environment, Plots, Viewer, or an RStudio project.
Is this R file to PDF converter an R Markdown renderer?
No. An .Rmd or .qmd document combines prose and executable chunks. Use R Markdown or Quarto when you need a compiled report with calculated tables, figures, citations, or TeX layout.
Will the pdf() function and plotting commands create charts?
No. They remain highlighted commands. In R, `pdf()` opens a graphics device that receives drawing operations; that requires execution and is different from presenting the script itself.
Does converting source capture packages and datasets?
Only their names and paths where written in code. The PDF does not contain installed packages, hidden global objects, database rows, local files, or values created earlier in a session.
What should I include beside a statistical script PDF?
Add runnable source, data instructions, R and package versions, a random seed, and a results document when the course requires output.
R primary references
Project manuals behind the language and output boundaries
Language, release, authorship, and graphics-device facts come from R Project documentation.
Official reference for objects, evaluation, functions, operators, indexing, parsing, and the relationship to S.
R Core TeamR NEWSVersion-by-version record, including the native pipe and concise function syntax introduced with R 4.1.0.
The R FoundationR Project ContributorsProject account of R’s initial authors and its continuing collaborative development.
R Core documentation — grDevicesPDF Graphics DeviceDefines `pdf()` as a graphics driver, clarifying why plot generation is not source-code conversion.