trestletech

login.json
.Rproj.user

trestletech

.Rproj.user
.Rhistory
.RData

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

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

.vagrant
pkg
src
bin

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

.Rproj.user
.Rhistory
.RData

trestletech

---
title: "hidden"
output: html_document
---

This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see <http://rmarkdown.rstudio.com>.

When you click the **Knit** button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

```{r}

trestletech

library(shiny)

# Create a reactive object here that we can share between all the sessions.
vals <- reactiveValues(count=0)

shinyServer(function(input, output, session) {
  # Increment the number of sessions when one is opened.
  # We use isolate() here to:
  #  a.) Provide a reactive context

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)