trestletech

library(shiny)

shinyServer(function(input, output) {
   
  output$distPlot <- renderPlot({
    print("Plotting");
    Sys.sleep(1)
    # generate and plot an rnorm distribution with the requested
    # number of observations

trestletech

library(shiny)

# Define server logic required to generate and plot a random distribution
shinyServer(function(input, output) {
   
  # Expression that generates a plot of the distribution. The expression
  # is wrapped in a call to renderPlot to indicate that:
  #
  #  1) It is "reactive" and therefore should be automatically 
  #     re-executed when inputs change

trestletech

library(shiny)
library(ggplot2)

shinyServer(function(input, output, session) {
  
  if (!is.null(session$user)) {
    data <- iris
    p <- qplot(Sepal.Width, Sepal.Length, data = iris, color = Species)
    output$ui <- renderUI({
      navbarPage(

trestletech

library(shiny)
library(ggplot2)

authorized <- TRUE

shinyServer(function(input, output, session) {
  
  if (authorized) {
    data <- iris
    p <- qplot(Sepal.Width, Sepal.Length, data = iris, color = Species)

trestletech

.Rproj.user
.Rhistory
.RData

trestletech

Keybase proof

I hereby claim:

• I am trestletech on github.
• I am trestletech (https://keybase.io/trestletech) on keybase.
• I have a public key whose fingerprint is BEB4 8BDF C60B 99A9 203B 9361 3E37 05BF 1EA7 87A9

To claim this, I am signing this object:

trestletech

.vagrant
pkg
src
bin

trestletech

Below are two approaches to configuring applications to use different sets of libraries in Shiny Server. The envir file only works in Shiny Server Pro, as it relies on the exec_supervisor argument. The other will work in either.

trestletech

---
title: "ShinyPres"
runtime: shiny
output: ioslides_presentation
---

## Shiny Presentation

This R Markdown presentation is made interactive using Shiny. The viewers of the presentation can change the assumptions underlying what's presented and see the results immediately. 

trestletech

login.json
.Rproj.user