Developing Data Projects
Course Project: David Hayes (May 2015)
Background
This presentation was created to the support the corresponding Shiny application for the Coursera Developing Products Module; part of the Data Science Specialism.
The Shiny application allows the selection of a woman's weight in lbs and returns the predicted height in inches. The data is based upon Average heights and weights for American women aged 30-39, and utilises the women data-set.
The application can be accessed via the following link:
Application Design
The women data-set has 15 observations (see next slide), each with 2 variables:
- height (inches)
- weight (lbs)
The server.R file contains a simple linear regression model to support the prediction of height outcome from a given weight predictor. The model is derived as follows:
lm.out <- lm(height ~ weight, data=women)
The ui.R file outputs the results of the Prediction together with a plot of height against weight.
Women data-set
height weight
1 58 115
2 59 117
3 60 120
4 61 123
5 62 126
6 63 129
7 64 132
8 65 135
9 66 139
10 67 142
11 68 146
12 69 150
13 70 154
14 71 159
15 72 164
Data Plot (from women data-set)
