https://github.com/flying-sheep/ggplot.multistats

Multiple Summary Statistics for Binned Stats/Geometries
https://github.com/flying-sheep/ggplot.multistats

ggplot2 ggplot2-geom r statistics

Last synced: 2 months ago
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Multiple Summary Statistics for Binned Stats/Geometries

• Host: GitHub
• URL: https://github.com/flying-sheep/ggplot.multistats
• Owner: flying-sheep
• License: gpl-3.0
• Created: 2019-05-07T18:50:12.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-10-08T06:50:19.000Z (4 months ago)
• Last Synced: 2024-10-28T17:24:00.785Z (3 months ago)
• Topics: ggplot2, ggplot2-geom, r, statistics
• Language: R
• Homepage:
• Size: 79.1 KB
• Stars: 10
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
[![CRAN badge][]](https://cran.r-project.org/package=ggplot.multistats) [![Workflow badge][]](https://github.com/flying-sheep/ggplot.multistats/commits/master)

[CRAN badge]: https://www.r-pkg.org/badges/version/ggplot.multistats

[Workflow badge]: https://github.com/flying-sheep/ggplot.multistats/workflows/Build%20R%20package/badge.svg

ggplot.multistats

=================

`ggplot.multistats` currently provides `stat_summaries_hex` and some helpers.

`stat_summaries_hex` is similar to [`ggplot2::stat_summary_hex`][stat_summary_2d],

but allows specifying multiple stats using the `funs` parameter (see [Example](#Example)).

[stat_summary_2d]: https://ggplot2.tidyverse.org/reference/stat_summary_2d.html

Installation

------------

`ggplot.multistats` is on [CRAN](https://CRAN.R-project.org).

```r

install.packages('ggplot.multistats')

```

You can also install the development version from GitHub:

```r

# install.packages('devtools')

devtools::install_github('flying-sheep/ggplot.multistats')

```

Example

-------

Specify a summary variable using the `z` aesthetic

and specify a list of `funs` to provide `after_stat`s for you:

```r

library(ggplot2)

library(ggplot.multistats)

ggplot(iris, aes(Sepal.Width, Sepal.Length)) +

  stat_summaries_hex(

    aes(z = Petal.Width, fill = after_stat(median), alpha = after_stat(n)),

    funs = c('median', n = 'length'),

    bins = 5

  )

```

![](example.png)