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library(shiny) # load the shiny package
library(ggplot2) # load the gglpot2 package if ploting using ggplot

# beginning of the shiny server function
shinyServer(function(output, input)({
  
  # The following reactive function would return the column variable names corresponding to the dataset selected by the user.
  var <- reactive({
    switch(input$data1,
           "mtcars" = names(mtcars),

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#  Demonstrate how to use mutate to add a new variable (called average in this demo example) into dataframe which contains the results of a function (average or mean in this demo example) performed on each row of the specified variables in the dataframe. 

library(dplyr)

# create a dummy dataframe for demostration purpose
mydata = data.frame(x=c("99.15%", "98.75%", "99.52%"),y=c("96.25%", "91.55%", NA), z=c("90.10%", NA, "87.50%"))

# look at the data
str(mydata)

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---
title: "Mutate demo example#1"
author: "Abhinav Agrawal"
date: "January 11, 2016"
output: html_document
---



```{r}

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library(shiny)
library(leaflet)
shinyServer(function(input, output) {

output$mymap <- renderLeaflet({
# define the leaflet map object
    leaflet() # this will just define the map widget
  })
  
  })

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library(shiny)
library(leaflet)
shinyServer(function(input, output) {
  output$mymap <- renderLeaflet({
    # define the leaflet map object
    leaflet() %>%
      addTiles() # this adds the base map tile - OSM (by default)
    
  })

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library(shiny)
library(leaflet)

## renderLeaflet() is used at server side to render the leaflet map 

shinyServer(function(input, output) {
  output$mymap <- renderLeaflet({
    # define the leaflet map object
    leaflet() %>%
      addTiles() %>%

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library(shiny)
library(leaflet)
shinyServer(function(input, output) {
  output$mymap <- renderLeaflet({
    # define the leaflet map object
    leaflet() %>%
      addTiles() %>%
      setView(lng = 82.9739144,lat = 25.3176452, zoom = 2) %>%
      # Add a pop up to map by using addPopups() function
      addPopups(lng = 82.9739144, lat = 25.3176452, popup = "Varanasi - My Birth Place") 

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library(shiny)
library(leaflet)
# we use the renderLeaflet() at the server side for leaflet maps.


shinyServer(function(input, output) {
  output$mymap <- renderLeaflet({
    # define the leaflet map object
    leaflet() %>%
    

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library(shiny)
library(data.table)
# use the below options code if you wish to increase the file input limit, 
# in this example file input limit is increased from 5MB to 9MB
 options(shiny.maxRequestSize = 700*1024^2)

shinyServer(function(input,output){
  
  # This reactive function will take the inputs from UI.R and use them for read.table() to read the data from the file. It returns the dataset in the form of a dataframe.
  # file$datapath -> gives the path of the file

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library(shiny)
library(leaflet)
shinyServer(function(input, output) {

    output$mymap <- renderLeaflet({
      input$update   # catching the action button event
      isolate(leaflet() %>%
                      addProviderTiles(input$bmap))