Sample Shiny application demonstrating usage of Shiny Server Pro's authentication feature to customize the app according to the privileges of the logged-in user.

server.R

library(shiny)
library(ggplot2)

# Get the current day of the month
dom <- 25

# Define the target for salespeople in our organization.
salesTarget <- 15000

# Set the seed so we always get the same data.
set.seed(1000)

# Generate some random sales data for the sake of demonstration.
salesData <- data.frame(
  salesperson = c(rep("sales1", dom+1), rep("sales2", dom+1)),
  day = rep(0:dom, 2),
  dailySales = round(runif((dom+1)*2, 0, 1000),2)
)
# Zero out the start of the month (day 0)
salesData[salesData$day == 0,"dailySales"] <- 0

# Compute the running total of all sales for each salesperson through the month.
salesData$salesTotal <- ave(salesData$dailySales, 
                            salesData$salesperson, 
                            FUN = cumsum)

shinyServer(function(input, output, session) {   

  # This reactive may be simple enough to be unneccessary in production. But
  # it can be useful for development and testing to be able to plug in a user
  # name here to see how the application behaves.
  user <- reactive({
    session$user
  })
  
  # Based on the logged in user, pull out only the data this user should be able
  # to see.
  myData <- reactive({
    if (isManager()){
      # If a manager, show everything.
      return(salesData)
    } else{
      # If a regular salesperson, only show their own sales.
      return(salesData[salesData$salesperson == user(),])
    }
  })
  
  # Determine whether or not the user is a manager.
  isManager <- reactive({
    if (user() == "manager"){
      return(TRUE)
    } else{
      return(FALSE)
    }
  })
  
  # Render the subtitle of the page according to what user is logged in.
  output$subtitle <- renderText({
    if (is.null(user())){
      return("You must log in to use this application using Shiny Server Pro.")
    }
    
    if (isManager()){
       return("Monthly Manager Sales Report")
     } else {
       return(paste0("Monthly Sales Report for '", user(), "'"))
     }
  })
  
  output$salesPlot <- renderPlot({
    # If no user is logged in, render a blank plot.
    if (is.null(user())){
      return()
    }
    
    # Get all data that should be visible to the current user.
    data <- myData() 
    
    # Generate the sales plot
    p <- ggplot(data, aes(day, salesTotal, group=salesperson, color=salesperson))
    p <- p + geom_point()
    p <- p + geom_hline(yintercept=salesTarget, color=7)    
    p <- p + xlim(0, 30)
    p <- p + stat_smooth(method="lm", fullrange=TRUE)
    p <- p + ggtitle("September Sales Projections")
    p <- p + xlab("Day of Month")
    p <- p + ylab("Total Sales (USD)")
    print(p)    
  })
  
  output$salesTbl <- renderDataTable({
    # If no user is logged in, don't show any data.
    if (is.null(user())){
      return()
    }
    
    # Otherwise return all data that should be visible to this user.
    myData()
  })
})

ui.R

library(shiny)

shinyUI(
  fluidPage(
    titlePanel("Sales Reports"),
    
    # Dislpay the subtitle computed on the server
    fluidRow(div(class="span12", h3(textOutput("subtitle")))),
    
    # Show the plot of sales
    fluidRow(div(class="span12", plotOutput("salesPlot"))),
    
    # Show the datatable of all sales
    fluidRow(div(class="span12", dataTableOutput("salesTbl")))
  )
)

Hi,
There are a big difference between Shinyapps and this example.
In this example, the applications ( information to visualize) depends of the user.
In Shinyapps' authentification, all the users see the same application (no matter the user).
That is, the manager and sales people will see the same table, and that's not the better.
Do I explain me?