Shiny for R

Why use Shiny and the basics of using Shiny with R Studio

Transcript

1. Shiny Manipulable Graphs
2. Why Shiny Data to explore Alternative parameters or models to characterize data Allow for visual exploration of model fits
3. How Shiny New R Project data & model source - server.R presentation and inputs - ui.R
4. server.R data source model definition graph definition
5. ui.R Parameter definition range active value Graph display
6. Shiny Project in R-Studio File > New Project New Directory > Shiny Web Application Directory Name: name for the new directory Create Project
7. New Project Defaults: server.r variable x contains old faithful geyser data variable bins contains range of possible bin number hist() - defines a histogram for the variables output is ‘distPlot’
8. New Project Defaults: ui.r sidebarPanel - sliderInput - value for the ‘bins’ variable mainPanel - show the ‘distPlot’
9. Graph Data and a Model? Some data - x and y values a model - a polynomial equation y = mxn+b f(x) = a2 xn + a1 x + a0 where a1 is zero Play with the inputs to see what fits the data See References for Polynomial Project at github
10. Polynomial project: server.r variables x and y contain 10 pairs where x = y x_prime is evaluated over the range -10 to 10 y_prime is calculated using the model (x, y) is plotted as points (x_prime, y_prime) is plotted as a line output is ‘polyPlot’
11. Polynomial project: ui.r sidebarPanel - sliderInput - value for the ‘intercept’ b sliderInput - value for the ‘slope’ m sliderInput - value for the ‘degree’ n mainPanel - show the ‘polyPlot’
12. References Polynomial Project: github… Shiny tutorial http:/ /shiny.rstudio.com/tutorial/lesson1/ Shiny Examples http:/ /www.showmeshiny.com Shiny Server on Amazon Cloud http:/ /www.stat.yale.edu/~jay/EC2/CreateFromScratch.html
13. Kevin O’Brien O’Brien Consulting, Inc Human Factors Engineering obrien-consulting.com