Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/jbkunst/shiny-apps-educational
Shiny apps for educational purposes.
https://github.com/jbkunst/shiny-apps-educational
educational educational-materials educational-project r shiny
Last synced: 1 day ago
JSON representation
Shiny apps for educational purposes.
- Host: GitHub
- URL: https://github.com/jbkunst/shiny-apps-educational
- Owner: jbkunst
- Created: 2014-05-23T19:53:37.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2024-12-25T16:29:14.000Z (21 days ago)
- Last Synced: 2025-01-07T07:12:39.920Z (8 days ago)
- Topics: educational, educational-materials, educational-project, r, shiny
- Language: HTML
- Homepage: https://jkunst.com/shiny-apps-educational
- Size: 114 MB
- Stars: 56
- Watchers: 5
- Forks: 50
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- jimsghstars - jbkunst/shiny-apps-educational - Shiny apps for educational purposes. (HTML)
README
Shiny apps for educational purposes
================
- [FOA: ♫ Tell me *Y* ♪](#foa--tell-me-y-)
- [Using apps locally](#using-apps-locally)
- [Shiny apps](#shiny-apps)
- [ARMA Process](#arma-process)
- [Bias Variance](#bias-variance)
- [Decision Tree](#decision-tree)
- [Kmeans](#kmeans)
- [Kmeans Images](#kmeans-images)
- [Logistic Regression](#logistic-regression)
- [Lorenz Attractor](#lorenz-attractor)
- [Matrix Decompositions](#matrix-decompositions)
## FOA: ♫ Tell me *Y* ♪
The ideas/purposes behind every shiny app in this repository are:
- Being a complement for a ML, Statistics, Probability, R class. The
application mainly shows and exemplifies a *result* that needs to be
explained. By themselves, the apps are just an app.
- Point out other resources and links that are more formal and/or
useful.
- TBD.
## Using apps locally
There is a script `run_app.R` which contanins a helper function to
download the repo in a temporal folder and then you can run the apps
To load that function:
``` r
source("https://raw.githubusercontent.com/jbkunst/shiny-apps-edu/master/run_app.R")
```
Then you can use it giving the folder name, for example:
``` r
run_app("kmeans")
```
## Shiny apps
### ARMA Process
 Source code [here](/arma-process). See
the live version in
[shinyapps.io](https://jbkunst.shinyapps.io/arma-process). Go to
[index](#shiny-apps-for-educational-purposes).
### Bias Variance
 Source code [here](/bias-variance).
See the live version in
[shinyapps.io](https://jbkunst.shinyapps.io/bias-variance). Go to
[index](#shiny-apps-for-educational-purposes).
### Decision Tree
 Source code [here](/decision-tree).
See the live version in
[shinyapps.io](https://jbkunst.shinyapps.io/decision-tree). Go to
[index](#shiny-apps-for-educational-purposes).
### Kmeans
 Source code [here](/kmeans). See the live
version in [shinyapps.io](https://jbkunst.shinyapps.io/kmeans). Go to
[index](#shiny-apps-for-educational-purposes).
### Kmeans Images
 Source code [here](/kmeans-images).
See the live version in
[shinyapps.io](https://jbkunst.shinyapps.io/kmeans-images). Go to
[index](#shiny-apps-for-educational-purposes).
### Logistic Regression
 Source code
[here](/logistic-regression). See the live version in
[shinyapps.io](https://jbkunst.shinyapps.io/logistic-regression). Go to
[index](#shiny-apps-for-educational-purposes).
### Lorenz Attractor
 Source code
[here](/lorenz-attractor). See the live version in
[shinyapps.io](https://jbkunst.shinyapps.io/lorenz-attractor). Go to
[index](#shiny-apps-for-educational-purposes).
### Matrix Decompositions
 Source code
[here](/matrix-decompositions). See the live version in
[shinyapps.io](https://jbkunst.shinyapps.io/matrix-decompositions). Go
to [index](#shiny-apps-for-educational-purposes).