author: James C. Walmsley date: March 13, 2017 autosize: True
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- Develop a web-hosted "Interactive Shiny Application"
- Produce a slidedeck with 5 slides to pitch the application
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- Generate predictive outputs from user inputs
- Provide documentation for effective user interaction
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- Data preparation
- Apply a lm (linear model) with predictive capability
- Transform user inputs to predictive outputs
- Provide confidence intervals for prediction results
- Produce interactive graphics for viewing data, predictive results and model visualizations
knitr::kable(head(acc <- airquality[complete.cases(airquality),],6), caption = "First six rows of the acc data frame")| Ozone | Solar.R | Wind | Temp | Month | Day | |
|---|---|---|---|---|---|---|
| 1 | 41 | 190 | 7.4 | 67 | 5 | 1 |
| 2 | 36 | 118 | 8.0 | 72 | 5 | 2 |
| 3 | 12 | 149 | 12.6 | 74 | 5 | 3 |
| 4 | 18 | 313 | 11.5 | 62 | 5 | 4 |
| 7 | 23 | 299 | 8.6 | 65 | 5 | 7 |
| 8 | 19 | 99 | 13.8 | 59 | 5 | 8 |
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