present

Introduction

Instructions:

1. Write a shiny application with associated supporting documentation. The documentation should be thought of as whatever a user will need to get started using your application.
2. Deploy the application on Rstudio's shiny server
3. Share the application link by pasting it into the provided text box
4. Share your server.R and ui.R code on github

The application predicts a child height using the data from Galton dataset. The height is calculated depending on the parent's height and the childs gender.

Galton dataset

Lets take a glance at the data set

     family        father         mother      midparentHeight
 185    : 15   Min.   :62.0   Min.   :58.00   Min.   :64.40  
 066    : 11   1st Qu.:68.0   1st Qu.:63.00   1st Qu.:68.14  
 120    : 11   Median :69.0   Median :64.00   Median :69.25  
 130    : 11   Mean   :69.2   Mean   :64.09   Mean   :69.21  
 166    : 11   3rd Qu.:71.0   3rd Qu.:65.88   3rd Qu.:70.14  
 097    : 10   Max.   :78.5   Max.   :70.50   Max.   :75.43  
 (Other):865                                                 
    children         childNum         gender     childHeight   
 Min.   : 1.000   Min.   : 1.000   female:453   Min.   :56.00  
 1st Qu.: 4.000   1st Qu.: 2.000   male  :481   1st Qu.:64.00  
 Median : 6.000   Median : 3.000                Median :66.50  
 Mean   : 6.171   Mean   : 3.586                Mean   :66.75  
 3rd Qu.: 8.000   3rd Qu.: 5.000                3rd Qu.:69.70  
 Max.   :15.000   Max.   :15.000                Max.   :79.00