https://github.com/smin95/smplot2
https://github.com/smin95/smplot2
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/smin95/smplot2
- Owner: smin95
- Created: 2021-05-08T00:18:41.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2024-04-12T11:53:03.000Z (over 1 year ago)
- Last Synced: 2024-04-14T00:38:14.020Z (about 1 year ago)
- Language: R
- Homepage:
- Size: 3.17 MB
- Stars: 18
- Watchers: 1
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
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smplot2 - An R package for plotting standalone and composite figures in scientific publications[](https://cran.r-project.org/package=smplot2)
[](https://cran.r-project.org/package=smplot2) [](https://github.com/smin95/smplot2) [](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/.