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 1 | # Shiny Apps for Education
 2 |  Collection of links and source code for stat education resources made in Shiny.
 3 | 
 4 | ### Gilad Feldman's Collection of Shiny apps, organized by topic
 5 | 
 6 | [Wiki of Apps](http://wiki.mgto.org/doku.php/r_shiny_apps)
 7 | 
 8 | ### Cal Poly collection of apps for basic stat concepts
 9 | 
10 | [Link to Apps](https://statistics.calpoly.edu/shiny#probview)
11 | 
12 | [Source Code Gists](https://gist.github.com/calpolystat)  (Also linked within each app)
13 | 
14 | [Supporting Slides](http://www.jinse.jp/pdf/Shiny_Rikkyo_Slides.pdf)
15 | 
16 | [JSE Paper](https://escholarship.org/uc/item/00d4q8cp)
17 | 
18 | ### Brown "Seeing Theory" Textbook
19 | 
20 | [Online Textbook](https://seeing-theory.brown.edu)
21 | 
22 | ### Peter Miksza's web app collection
23 | 
24 | [Main Site](https://petemiksza.com/visualizing-statistical-concepts/)
25 | 
26 | ### RStudio Shiny App contest submissions
27 | 
28 | (Warning: The majority of these are NOT education visualizations.  I will filter down to the relevant ones at some point.)
29 | 
30 | [List of apps](https://community.rstudio.com/tags/shiny-contest)
31 | 
32 | ### Radiant by Vincent Nijs
33 | 
34 | [Official Documentation Site](https://radiant-rstats.github.io/docs/)
35 | [Sample App](https://vnijs.shinyapps.io/radiant/?SSUID=0a733962d5)
36 | [Github Repo](https://github.com/radiant-rstats)
37 | 
38 | ### The Analysis of Biological Data by Whitlock and Schuler
39 | 
40 | [Apps to accompany textbook](https://whitlockschluter.zoology.ubc.ca/stats-visualizations)
41 | 
42 | ### OHSU Shiny Apps for Teaching
43 | 
44 | [Burro Data Explorer](https://github.com/laderast/burro) 
45 | 
46 | Info page: https://laderast.github.io/burro/
47 | 
48 | [Data Literacy LearnR (has some shiny apps)](https://github.com/laderast/dataLiteracyTutorial)
49 | 
50 | see it at https://tladeras.shinyapps.io/dataLiteracyTutorial
51 | 
52 | [A Visual Intro to Clustering (work in progress)](https://github.com/laderast/clusteringLecture) 
53 | 
54 | See the demo here: http://tladeras.shinyapps.io/clusteringLecture/
55 | 
56 | [DSIExplore LearnR Package (Ted Laderas and Jessica Minner)](https://github.com/laderast/DSIExplore): 
57 | 
58 | See it here: https://tladeras.shinyapps.io/categoricalData/ 
59 | 
60 | and here: http://minnier.shinyapps.io/ODSI_continuousData/
61 | 
62 | ### ShinyApps.org: Experience Statistics
63 | 
64 | [Collection of Apps](https://shinyapps.org/)
65 | 
66 | ### SavvyStatistics.com: Cloud-based apps for teaching, by Sean MacKinnon
67 | 
68 | [Collection of Apps](http://savvystatistics.com/cloud-based-apps-for-statistics-teaching/)
69 | 
70 | (Also includes some non-Shiny options!)
71 | 
72 | ### Miscellaneous
73 |  
74 | [Permutation tests](https://rosetta.ahmedmoustafa.io/permutation/)
75 | 
76 | [Central Limit Theorem](https://casertamarco.shinyapps.io/centralLimitTheorem/)
77 | 
78 | [Influence](https://omaymas.shinyapps.io/Influence_Analysis/)
79 | 
80 | [Sum of Squares in Regression](https://paternogbc.shinyapps.io/SS_regression/)
81 | 
82 | [Probability Distributions](https://statdist.ksmzn.com/)
83 | 
84 | [Exploring Distributions](http://www.statstudio.net/free-tools/dists/)
85 | 
86 | [Quantitative Plots (Github repo by Stephanie Spielman)](https://github.com/spielmanlab/plot-iris)
87 | 
88 | [Confidence Interval Coverage](https://istats.shinyapps.io/ExploreCoverage/)
89 | 
90 | 
91 | ## Thank you to:
92 | 
93 | Hunter Glanz (@hglanz), Alisha Waller, Peter Miksza (@PeteMiksza), Vincent Nijs (@vrnijs), Nathan Brower (@lowbrowR), Aleeza Gerstein
94 | (@acgerstein), @showmeshiny, Ted Laderas (@tladeras), Jessica Minner (@datapointier), Lorne Campbell (@LorneJCampbell), Stephanie Spielman (@stephspiel), Sean Mackinnon (@seanpmackinnon), Liz Eisenhauer (@LizEisenhauer)
95 | 
96 | 
97 | 


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