ggdiagram/README.qmd at main · wjschne/ggdiagram · GitHub

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---
format: gfm
default-image-extension: ""
---

# ggdiagram <a href="https://wjschne.github.io/ggdiagram/"><img src="man/figures/logo.png" align="right" height="120" alt="ggdiagram website" /></a>


```{r}
#| label: setup
#| include: false
library(ggdiagram)
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```


<!-- badges: start -->
[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)
[![CRAN status](https://www.r-pkg.org/badges/version-last-release/ggdiagram)](https://CRAN.R-project.org/package=ggdiagram)
[![ggdiagram status badge](https://wjschne.r-universe.dev/ggdiagram/badges/version)](https://wjschne.r-universe.dev/ggdiagram)
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The ggdiagram package takes an object-oriented approach to making diagrams and plots the results using [ggplot2](https://ggplot2.tidyverse.org/).


My motivation in making ggdiagram was to find a way to approach the functionality of [TikZ](https://tikz.dev/) but with the flexibility and convenience of R. The ggdiagram package is built atop [S7](https://rconsortium.github.io/S7/) and is integrated with [ggplot2](https://ggplot2.tidyverse.org/), making heavy use of [ggtext](https://wilkelab.org/ggtext/), [ggforce](https://ggforce.data-imaginist.com/), and [ggarrow](https://teunbrand.github.io/ggarrow/).

The ggdiagram package is not a replacement for the standard ggplot2 functions. The underlying *grammar* of ggplot2 is well designed for visualizing data. The ggdiagram functions are best suited for creating a small number of visual objects that interrelate. If anything, they can be thought of as extensions of `ggplot2::annotate`.

## Installation

To install the published version from CRAN:

``` r
install.packages("ggdiagram")
```

You can install the development version of ggdiagram from R-universe like so:

``` r
install.packages("ggdiagram", repos = "https://wjschne.r-universe.dev")
```


## Example

In @fig-example, we create a circle object with `ob_circle` and a rectangle object with `ob_rectangle`, placing the rectangle such that there is .5 units of separation between the two objects.

The `ggdiagram` function is a a wrapper for `ggplot`, that sets some defaults (e.g., `theme_void`, `coord_equal`, fonts, line size, etc.).

The `ob_*` functions have methods such that they can be added to any ggplot. Under the hood, they are first converted to an appropriate geom and then added to the ggplot object. In this case, an `ob_circle` is converted to a `ggforce:geom_circle`, and an `ob_rectangle` is converted to a `ggforce::geom_shape`.

The `connect` function connects the circle and rectangle at their edges with an arrow (drawn with `ggarrow::geom_arrow_segment`).

```{r}
#| label: fig-example
#| fig-width: 6
#| fig-height: 3.5
#| fig-cap: Connecting a circle and a square with an arrow.
#| dev: ragg_png
#| fig-dpi: 320
#| fig-alt: >
#|   Diagram of a circle on the left
#|   and a square on the right
#|   with an arrow connecting the two shapes.
library(ggdiagram)
c1 <- ob_circle(radius = 1 / sqrt(pi))
r2 <- ob_rectangle() |>
  place(from = c1,
        where = "right",
        sep = .5)

ggdiagram() +
  c1 +
  r2 +
  connect(c1, r2, resect = 1)
```