https://github.com/smin95/smplot2

https://github.com/smin95/smplot2

Last synced: about 2 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/smin95/smplot2
• Owner: smin95
• Created: 2021-05-08T00:18:41.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2024-04-12T11:53:03.000Z (6 months ago)
• Last Synced: 2024-04-14T00:38:14.020Z (6 months ago)
• Language: R
• Homepage:
• Size: 3.17 MB
• Stars: 18
• Watchers: 1
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        


  

  


smplot2 - An R package for plotting standalone and composite figures


[![](http://cranlogs.r-pkg.org/badges/grand-total/smplot2?color=green)](https://cran.r-project.org/package=smplot2)

[![](https://cranlogs.r-pkg.org/badges/smplot2?color=green)](https://cran.r-project.org/package=smplot2) [![](https://img.shields.io/badge/devel%20version-0.2.4-black.svg)](https://github.com/smin95/smplot2) [![CRAN_Release_Badge](http://www.r-pkg.org/badges/version-ago/smplot2?color=green)](https://CRAN.R-project.org/package=smplot2) 

Author: Seung Hyun (Sam) Min

**smplot2** (SM: **S**eung Hyun **M**in) is an R package for statistical data visualization that complements ggplot2. This package represents what I wish I had back when I was beginning to learn R. It aims to make every step of data visualization easy.

**smplot** was first created in May 2021, and due to the numerous deprecated and newly created primary functions, **smplot** has now evolved into **smplot2**.

Key functionalities include shortcuts for plotting elegant figures that are appropriate for scientific journals and functions that facilitate generating and annotating composite figures.

### Installation using RStudio

You can install the released version of *smplot2* from CRAN.

```r

install.packages('smplot2')

```

The development version can be directly downloaded here:

``` r

install.packages("devtools")

devtools::install_github('smin95/smplot2')

```

 

To access an updated tutorial (sample codes and figures) of the package, please visit https://smin95.github.io/dataviz/.