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r2typ allows you to generate Typst markup using R and makes you much more efficient in creating PDF reports. Think of it as htmltools, but for Typst! It supports all of the following:

  • ✅ almost all Typst functions (+ an option to add yours)
  • conversions from R to Typst (NULL -> none, TRUE -> true, etc.)
  • ✅ Typst colors, alignment, units and direction natively
  • set and (simple) show rules
  • ✅ works well with Quarto
  • ✅ extremely simple syntax

Check out the documentation.


Installation

install.packages("r2typ", repos = c("https://y-sunflower.r-universe.dev"))


Motivation

Typst is a powerful typesetting system, but writing its markup programmatically from R can be cumbersome when you need to automate reports, generate dynamic documents, or integrate Typst output into data workflows. r2typ fills this gap by offering a light, consistent interface that turns R expressions directly into valid Typst markup.

It streamlines the creation of complex layouts, ensures reliable type conversions, and makes it easy to embed Typst generation into pipelines, scripts, and Quarto projects.


Quick start

The main thing to understand is that r2typ essentially does one thing: generate text. And that’s it!

Basic usage

library(r2typ)

heading(level = 2, numbering = "1.1", "Hello world")
#> #heading(level: 2, numbering: "1.1")[Hello world]

text_(size = pt_(12), baseline = em(1.2), overhang = FALSE, "hey there")
#> #text(size: 12pt, baseline: 1.2em, overhang: false)[hey there]

image_(width = percent(80), height = auto, "link.svg")
#> #image(width: 80%, height: auto, "link.svg")

circle(fill = blue, "hey")
#> #circle(fill: blue)[hey]

circle(radius = pt_(100), "hey", linebreak(), "there")
#> #circle(radius: 100pt)[hey #linebreak() there]

place(top + left, dy = pt_(15), square(size = pt_(35), fill = red))
#> #place(top + left, dy: 15pt)[#square(size: 35pt, fill: red)]

[!IMPORTANT] Some function names end with _ to avoid confusion between namespaces: some widely used packages have functions with the same name, and using an identical name could cause the code to malfunction.

Types conversion

r2typ converts some R types into Typst types:

  • NULL becomes none
image_("image.png", width = percent(80), alt = NULL)
#> #image(width: 80%, alt: none, \"image.png\")
  • TRUE/FALSE become true/false
list_(tight = FALSE, "hey", "you")
#> #list(tight: false, [hey], [you])
  • c() vectors and unnamed list() (such as list("a", "b") become arrays:
text_(`stylistic-set` = c(1, 2, 3), "10 years ago")
#> #text(stylistic-set: (1, 2, 3))[10 years ago]

text_(`stylistic-set` = list(1, 2, 3), "10 years ago") # equivalent
#> #text(stylistic-set: (1, 2, 3))[10 years ago]
  • Named list() (such as list(a = "hello", b = "world")) become dictionnaries:
text_(costs = list(hyphenation = percent(100), runt = percent(100)))
#> #text(costs: (hyphenation: 100%, runt: 100%))

Set and show rules

set_text(red, size = pt_(20))
#> #set text(size: 20pt, red)

show_heading(set_text(fill = red))
#> #show heading: set text(fill: red, size: 20pt)

Create Typst variables

You can use the let() function to define Typst variables, and easily reuse them:

let("yellow", rgb_("#FFC300"))
#> #let yellow = rgb_("#FFC300")

let("mycirc", circle(fill = yellow, square(height = cm_(1))))
#> #let mycirc = circle(fill: yellow)[#square(height: 1cm)]

Use your own Typst functions

hello <- function(...) typst_function("hello", ...)

hello(fill = red, size = pt_(10), other_arg = "world")
#> #hello(fill: red, size: 10pt, other_arg: "world")

Writing, compiling and validating Typst

If you want to compile and validate your Typst code, you can use the tynding package. It offers 3 functions:

Functions in r2typ accept all positional and named arguments! This means that you’re responsible of making sure the arguments you’re using are valid!

library(tynding)

place(
  top + left,
  dy = pt_(15),
  square(size = pt_(35), fill = red)
) |>
  is_valid_typst()
#> TRUE

place(
  top + left,
  dy = pt_(15),
  square(size = pt_(35), fill = red)
) |>
  typst_write() |>
  typst_compile() # generate the PDF

Also note that all examples in the r2typ documentation are valid Typst examples.

Complete example

A complete example that generates a PDF using R only:

library(r2typ)
library(tynding) # typst_write() and typst_compile() functions

c(
  set_page(height = pt_(400)),
  set_text(purple),
  set_circle(width = percent(50)),
  align(
    center + horizon,
    circle(
      fill = aqua,
      stroke = pt_(5) + red,
      align(
        right,
        text_(
          font = "Roboto",
          size = em(1.2),
          "My favorite food is cookies!"
        )
      )
    )
  )
) |>
  typst_write() |>
  typst_compile(output = "example.pdf")
A blue circle with a red border with the text My favorite food is cookied inside of it.
A blue circle with a red border with the text My favorite food is cookied inside of it.

Learn more in the get started vignette.


Markup VS Code mode in Typst

r2typ generates Typst markup, not Typst code. Most people, when writing native Typst, rely primarily on markup mode. Code mode is mainly used to add logic or create functions.

This is an important distinction to keep in mind, but the core difference is that function calls start with a # (e.g., #text("hey") VS text("hey")).

You can learn more about it here.


Missing functions

  • ✅ Text
  • ✅ Foundations
  • ✅ Model, everything except: cite, link, numbering, ref, terms
  • ✅ Layout, everything except: columns, layout, measure, repeat, rotate
  • ✅ Visualize, everything except: curve, gradient, path, stroke, polygon, tiling

something’s missing? Please open an issue!