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: 10 days ago
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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: 2023-07-10T03:24:44.000Z (over 1 year ago)
• Last Synced: 2024-10-11T19:13:49.451Z (27 days ago)
• Topics: educational, educational-materials, educational-project, r, shiny
• Language: HTML
• Homepage: https://jkunst.com/shiny-apps-educational
• Size: 109 MB
• Stars: 56
• Watchers: 5
• Forks: 51
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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• jimsghstars - jbkunst/shiny-apps-educational - Shiny apps for educational purposes. (HTML)

README

        
Shiny apps for educational purposes

================

- FOA: ♫ Tell me

  Y ♪

- Using apps

  locally

- Shiny apps

  - ARMA Process

  - Bias Variance

  - Decision Tree

  - Kmeans

  - Kmeans Images

  - Logistic

    Regression

  - 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.

![](screenshots.gif)

## 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

![](arma-process/screenshot.png) 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

![](bias-variance/screenshot.png) 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

![](decision-tree/screenshot.png) 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

![](kmeans/screenshot.png) 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

![](kmeans-images/screenshot.png) 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

![](logistic-regression/screenshot.png) 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).

### Matrix Decompositions

![](matrix-decompositions/screenshot.png) 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).