Having trouble with ggplot on shiny!

shiny
1

Hi all!

I'm trying to create an application based on the climate change app in "show me shiny". URL to code - Climate-Change-1900-2014/Shiny_ClimateChange at master · OmaymaS/Climate-Change-1900-2014 · GitHub

I've attached an image of how my data looks like - basically the ggplot is not responding to an user input at all and ive spent hours trying to work it out. Could anyone please have a look?

Passengers image

Here is my server input

#Load Libraries
library(shiny)
library(ggplot2)
library(dplyr)
library(purrr)
library(tidyr)
library(mgcv)

#Load data

shinyServer(function(input, output) {

output$overview<-renderText("Below are the passengers markets for the target airport")

#read the airport names (the unique values)
AirportNames<-unique(Passengers$Airport)

#Airports names list
output$AirportSelector<-renderUI({
selectInput('airport', 'Airport',
AirportNames,
multiple=TRUE,
selectize=TRUE,
selected="LHR") #default value
})

#Market abbreviation list
output$MarketSelector<-renderUI({
selectInput('market', 'Market',
set_names( 1:11,unique(Passengers$Market)),
multiple=TRUE,
selectize=TRUE,
selected=1:11) #default all
})

#get the selected airports
SelectedAirport<-reactive({

if(is.null(input$airport) || length(input$airport)==0)
  return()
as.vector(input$airport)

})

#get the selected market
SelectedMarket<-reactive({

if(is.null(input$market) || length(input$market)==0)
  return()
as.numeric(as.vector(input$market))

})

Passengersdf<-reactive({
Passengers %>%
filter(Airport %in% SelectedAirport()) %>%
filter(Market %in% SelectedMarket())
})

output$ff <- renderPrint({
names(airportsDF())
})

#get Check group input (type of plot)
checkedVal <- reactive({
as.vector(input$checkPlot)

})

###########plot#########
output$RegPlot<-renderPlot({
#check if airport and market are not null
if ((length(SelectedAirport())>0) && (length(SelectedMarket())>0))

{g<-ggplot(Passengersdf(),
           aes(x=Year,y=Pax,colour=factor(Market)))+
  labs(x="Year",
       y="Passengers")+
  scale_color_discrete(name="Market",
                       breaks=c(1:11),
                       labels=unique(Passengers$Market))

if ("GAM Plot" %in% checkedVal())
  
  g<-g+stat_smooth(method="gam", formula=y~s(x),se=FALSE)

if ("Point Plot" %in% checkedVal())
  
  g<-g+geom_point(aes(alpha=0.4))+
    guides(alpha=FALSE)

g
}

})
#########################
})

And here is my ui

#Load Libraries
library(shiny)
library(ggplot2)
library(dplyr)

#Define UI
shinyUI(fluidPage(

#Application title
titlePanel("MIDT Analysis"),

#Sidebar with controls to select airport, market and type of plot
sidebarLayout(

sidebarPanel(
  helpText("Type/Select one or more airports:"),
  
  uiOutput("AirportSelector"),
  
  helpText("Type/Select one or more markets:"),
  uiOutput("MarketSelector"),
  
  helpText("Select type of plot:"),
  checkboxGroupInput("checkPlot", 
                     label = ("Plots"), 
                     choices=c("GAM Plot","Point Plot"),
                     selected = "GAM Plot"
  ),
  
  helpText("Testing")
  
),

#Main Panel contains the plot/s
mainPanel(
  
  textOutput("overview"),
  plotOutput("RegPlot")
  # verbatimTextOutput("ff")
  
  
)

)
))

1 Like
2

Hi @byrne, two suggestions. The first is something I do for debugging a plot that is not responding, I use a textOutput to see if the data is updating when the dropdown change, this let's me know if the issue is my plot or not. The second is to do the data filtering inside the plotOutput function, in this case, to remove the need for the other reactive functions you have.

2 Likes