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raincloud-shiny

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Shiny app for customizing Raincloud plots

raincloud-shiny 최신버젼 다운로드

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# Raincloud-shiny

Raincloud-shiny is a Shiny-powered web GUI interface to create RainCloudPlots. A demo is hosted [here](https://gabrifc.shinyapps.io/raincloudplots/).
	
![Raincloud plots shiny app](https://raw.githubusercontent.com/gabrifc/raincloud-shiny/master/rainCloudPlots.PNG)

The idea behind Raincloud plots was introduced by <a href='https://micahallen.org/2018/03/15/introducing-raincloud-plots/'>Micah Allen on his blog</a>. My coworkers and I found it really interesting to display our data, so I made this shiny app to provide a smooth transition to R and ggplot.
More information about Raincloud plots can be found on the <a href='https://wellcomeopenresearch.org/articles/4-63/v1'>in the published article</a>.

## Citing RainCloudPlots
Please refer to the [original RainCloudPlots source](https://github.com/RainCloudPlots/RainCloudPlots#citing-raincloudplots) for citations and licenses.

## Credits

The code of RainCloud-Shiny makes use / is inspired by the following open source projects:
<ul>
	<li><a href="https://github.com/RainCloudPlots/RainCloudPlots">RainCloudPlots</a>: The original code provided by the manuscript authors.</li>
	<li><a href="https://shiny.rstudio.com/">RShiny</a>: The shinythemes package provides some Bootstrap themes for use with Shiny.</li>
	<li><a href="https://rstudio.github.io/shinythemes/">ShinyThemes</a>: Shiny is an R package that makes it easy to build interactive web apps straight from R.</li>
	<li><a href="https://github.com/andrewsali/shinycssloaders">shinycssloaders</a>:Add loader animations (spinners) to Shiny Outputs in an automated fashion.</li>
	<li><a href="https://dreamrs.github.io/shinyWidgets/index.html">shinyWidgets</a>: An extension of the default widgets available in Shiny.</li>
	<li><a href="https://www.tidyverse.org/">Tidyverse</a>: An opinionated collection of R packages designed for data science. This app makes use of the following packages to wrangle and display data:
		<ul>
			<li><a href="https://tidyr.tidyverse.org/">Tidyr</a>.</li>
			<li><a href="https://glue.tidyverse.org">Glue</a>.</li>
			<li><a href="https://stringr.tidyverse.org">Stringr</a>.</li>
			<li><a href="https://ggplot2.tidyverse.org/">ggplot2</a>.</li>
		</ul>
	</li>
	<li><a href="https://gist.github.com/dgrtwo/eb7750e74997891d7c20">geom_flat_violin.R</a>: a ggplot2 extension to make one side flat violins.</li>
	<li><a href="https://github.com/wilkelab/cowplot">Cowplot</a>: Create publication-ready figures.</li>
	<li><a href="https://cran.r-project.org/web/packages/RColorBrewer/index.html">RColorBrewer</a>: Provides Color Theme Palettes designed by Cynthia Brewer as described at <a href="http://colorbrewer2.org">Colorbrewer 2.0.</a></li>
	<li><a href="https://nanx.me/ggsci/">ggsci</a>: Scientific Journal and Sci-Fi Themed Color Palettes for ggplot2</li>
	<li><a href="http://www.sthda.com/english/rpkgs/ggpubr/">ggpubr</a>: Makes it possible to automatically add p-values and significance levels.</li>
	<li><a href="https://github.com/eclarke/ggbeeswarm">ggbeeswarm</a>: Provides methods to create beeswarm-style plots using ggplot2.</li>
	<li><a href="http://biostat.mc.vanderbilt.edu/wiki/Main/Hmisc">Hmisc</a>: Miscellaneous utilities from Frank Harrell. Here used to calculate the 95% Confidence Intervals.</li>
</ul>

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