https://briatte.github.io/ggcorr/

Correlation matrixes with ggplot2:
https://briatte.github.io/ggcorr/

Last synced: 3 days ago
JSON representation

Correlation matrixes with ggplot2:

• Host: GitHub
• URL: https://briatte.github.io/ggcorr/
• Owner: briatte
• Created: 2013-07-16T17:10:15.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2023-09-23T08:49:16.000Z (about 1 year ago)
• Last Synced: 2024-11-09T23:12:09.052Z (7 days ago)
• Language: R
• Homepage: https://briatte.github.io/ggcorr
• Size: 1.83 MB
• Stars: 15
• Watchers: 5
• Forks: 8
• Open Issues: 6
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# ggcorr: correlation matrixes with ggplot2

![](demo.png)

This repository contains the latest version of the `ggcorr` function, which allows to plot correlation matrixes with [`ggplot2`](http://ggplot2.org/).

## INSTALL

`ggcorr` is part of the __`GGally`__ package. Install it [from CRAN](https://cran.r-project.org/web/packages/GGally/):

```{r}

install.packages("GGally")

```

You can also use `ggcorr` as a standalone function from this repository:

```{r}

source("https://raw.githubusercontent.com/briatte/ggcorr/master/ggcorr.R")

```

## VIGNETTE

The `ggcorr` function is fully documented in [this vignette](https://briatte.github.io/ggcorr).

The [vignette source](vignette) is included in this repository.

## THANKS

- The idea for this function comes from [a Stack Overflow question](http://stackoverflow.com/questions/12196756/significance-level-added-to-matrix-correlation-heatmap-using-ggplot2).

- The examples shown above use NBA statistics shared [by Nathan Yau](http://flowingdata.com/2010/01/21/how-to-make-a-heatmap-a-quick-and-easy-solution/).

- [Barret Schloerke](https://github.com/schloerke) helps by maintaining the `GGally` package