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https://github.com/VPetukhov/ggrastr

Raster geoms for ggplot2
https://github.com/VPetukhov/ggrastr

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Raster geoms for ggplot2

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[![CRAN status](https://www.r-pkg.org/badges/version/ggrastr)](https://cran.r-project.org/package=ggrastr)
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# ggrastr

Rasterize only specific layers of a [ggplot2 plot](https://ggplot2.tidyverse.org/) (for instance, large scatter plots with many points) while keeping all labels and text in vector format. This allows users to keep plots within a reasonable size limit without losing the vector properties of scale-sensitive information.

## Installation

To install the stable version from [CRAN](https://CRAN.R-project.org/package=ggrastr), use:

```r
install.packages('ggrastr')
```

To install the latest version, use:

```r
install.packages('devtools')
devtools::install_github('VPetukhov/ggrastr', build_vignettes = TRUE)
```

## Rasterize any ggplot2 layer

Note that with `ggrastr` version 0.2.0, any ggplot2 geom provided by the user can be rasterized with the function `rasterise()`. Furthermore, when the aspect ratio is distorted, points are rendered without distortion.

For more details and examples, see the **vignettes:**
* [HTML version](https://htmlpreview.github.io/?https://raw.githubusercontent.com/VPetukhov/ggrastr/main/doc/Raster_geoms.html)
* [Markdown version](https://github.com/VPetukhov/ggrastr/blob/main/vignettes/Raster_geoms.md)

## Geoms provided

We also provide wrappers for several geoms to guarantee compatibility with an older version of `ggrastr`. However, we encourage users to use the `rasterise()` function instead.

* `geom_point_rast`: raster scatter plots
* `geom_jitter_rast`: raster jittered scatter plots
* `geom_boxplot_jitter`: boxplots that allows to jitter and rasterize outlier points
* `geom_tile_rast`: raster heatmap
* `geom_beeswarm_rast`: raster [bee swarm plots](https://github.com/eclarke/ggbeeswarm#geom_beeswarm)
* `geom_quasirandom_rast`: raster [quasirandom scatter plot](https://github.com/eclarke/ggbeeswarm#geom_quasirandom)

## Troubleshooting

If your R session crashes when you try to render a rasterized plot, it's probably the case that your version of Cairo was built for another
version of R (see [Upgrading to a new version of R](https://shiny.rstudio.com/articles/upgrade-R.html)). To check if
you are using a proper version, run the command below and ensure that the "Built" version is the same as your R version.
```r
pkgs <- as.data.frame(installed.packages(), stringsAsFactors = FALSE, row.names = FALSE)
pkgs[pkgs$Package == 'Cairo', c("Package", "LibPath", "Version", "Built")]
```

To ensure that Cairo works, try running `Cairo::Cairo(type='raster'); dev.off()` and check if it crashes your R session.

## Citation

If you find `ggrastr` useful for your publication, please cite:

```
Viktor Petukhov, Teun van den Brand and Evan Biederstedt (2021).
ggrastr: Raster Layers for 'ggplot2'. R package version 1.0.2.
https://CRAN.R-project.org/package=ggrastr
```