Shiny-Apps-for-Education

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Shiny-Apps-for-Education

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Collection of links and source code for stat education resources made in Shiny

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# Shiny Apps for Education
 Collection of links and source code for stat education resources made in Shiny.

### Gilad Feldman's Collection of Shiny apps, organized by topic

[Wiki of Apps](http://wiki.mgto.org/doku.php/r_shiny_apps)

### Cal Poly collection of apps for basic stat concepts

[Link to Apps](https://statistics.calpoly.edu/shiny#probview)

[Source Code Gists](https://gist.github.com/calpolystat)  (Also linked within each app)

[Supporting Slides](http://www.jinse.jp/pdf/Shiny_Rikkyo_Slides.pdf)

[JSE Paper](https://escholarship.org/uc/item/00d4q8cp)

### Brown "Seeing Theory" Textbook

[Online Textbook](https://seeing-theory.brown.edu)

### Peter Miksza's web app collection

[Main Site](https://petemiksza.com/visualizing-statistical-concepts/)

### RStudio Shiny App contest submissions

(Warning: The majority of these are NOT education visualizations.  I will filter down to the relevant ones at some point.)

[List of apps](https://community.rstudio.com/tags/shiny-contest)

### Radiant by Vincent Nijs

[Official Documentation Site](https://radiant-rstats.github.io/docs/)
[Sample App](https://vnijs.shinyapps.io/radiant/?SSUID=0a733962d5)
[Github Repo](https://github.com/radiant-rstats)

### The Analysis of Biological Data by Whitlock and Schuler

[Apps to accompany textbook](https://whitlockschluter.zoology.ubc.ca/stats-visualizations)

### OHSU Shiny Apps for Teaching

[Burro Data Explorer](https://github.com/laderast/burro)

Info page: https://laderast.github.io/burro/

[Data Literacy LearnR (has some shiny apps)](https://github.com/laderast/dataLiteracyTutorial)

see it at https://tladeras.shinyapps.io/dataLiteracyTutorial

[A Visual Intro to Clustering (work in progress)](https://github.com/laderast/clusteringLecture)

See the demo here: http://tladeras.shinyapps.io/clusteringLecture/

[DSIExplore LearnR Package (Ted Laderas and Jessica Minner)](https://github.com/laderast/DSIExplore):

See it here: https://tladeras.shinyapps.io/categoricalData/

and here: http://minnier.shinyapps.io/ODSI_continuousData/

### ShinyApps.org: Experience Statistics

[Collection of Apps](https://shinyapps.org/)

### SavvyStatistics.com: Cloud-based apps for teaching, by Sean MacKinnon

[Collection of Apps](http://savvystatistics.com/cloud-based-apps-for-statistics-teaching/)

(Also includes some non-Shiny options!)

### Miscellaneous
 
[Permutation tests](https://rosetta.ahmedmoustafa.io/permutation/)

[Central Limit Theorem](https://casertamarco.shinyapps.io/centralLimitTheorem/)

[Influence](https://omaymas.shinyapps.io/Influence_Analysis/)

[Sum of Squares in Regression](https://paternogbc.shinyapps.io/SS_regression/)

[Probability Distributions](https://statdist.ksmzn.com/)

[Exploring Distributions](http://www.statstudio.net/free-tools/dists/)

[Quantitative Plots (Github repo by Stephanie Spielman)](https://github.com/spielmanlab/plot-iris)

[Confidence Interval Coverage](https://istats.shinyapps.io/ExploreCoverage/)

## Thank you to:

Hunter Glanz (@hglanz), Alisha Waller, Peter Miksza (@PeteMiksza), Vincent Nijs (@vrnijs), Nathan Brower (@lowbrowR), Aleeza Gerstein
(@acgerstein), @showmeshiny, Ted Laderas (@tladeras), Jessica Minner (@datapointier), Lorne Campbell (@LorneJCampbell), Stephanie Spielman (@stephspiel), Sean Mackinnon (@seanpmackinnon), Liz Eisenhauer (@LizEisenhauer)

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