Shiny reactive data plotting using ggplot

Question

I am creating a shiny application consisting in plotting data from different datasets.

Basically user has to choose two times using one radiobutton and one selectinput for getting desired plot. Here is a minimal example:

#
# This is a Shiny web application. You can run the application by clicking
# the 'Run App' button above.
#
# Find out more about building applications with Shiny here:
#
#    http://shiny.rstudio.com/
#

# create data
name <- c("Jon", "Bill", "Maria")
age <- c(23, 41, 32)
d1 <- data.frame(name, age)
employee <- c('John Doe','Peter Gynn','Jolie Hope')
salary <- c(21000, 23400, 26800)
startdate <- as.Date(c('2010-11-1','2008-3-25','2007-3-14'))
d2 <- data.frame(employee, salary, startdate)
library(shiny)

# Define UI for application that draws a histogram
ui <- fluidPage(

    # Application title
    titlePanel("Old Faithful Geyser Data"),

    # Sidebar with a slider input for number of bins 
    sidebarLayout(
        sidebarPanel(
            radioButtons("ind1", "Choose indicator:",
                         c("Q1" = "q1",
                           "Q2" = "q2")
                         
            )
        ),

        # Show a plot of the generated distribution
        mainPanel(
            selectInput("ind2", "Choose metrics:",
                        c("M1" = "m1",
                          "M2" = "m2"),
            plotOutput("gmplot"))
    
        )
    )
)

# Define server logic required to draw a histogram
server <- function(input, output) {

    # Create a "data_source" reactive variable
    data_intacc <- reactive({
        # Return the appropriate data source depending on
        # the chosen radio button
        if (input$ind1 == "q1" & input$ind2 == "m1") {
            data <- d1
        } else if (input$ind1 == "q2" & input$ind2 == "m2") {
            data <- d2
        } 
        return(data)
    })
    
    
    output$gmplot <-renderPlot({
        data = data_intacc()
        p1 <- ggplot(data, aes(x, y, fill)) +geom_bar(stat= "identity")
        print(p1)
        
    })
}

# Run the application 
shinyApp(ui = ui, server = server)

My problem is that based on user input data is different, so I need to figure out one way to subset reactive data inside ggplot2 to define aes(x, y) because x and y will be different depending on user input.

Any idea how to deal with this case?

Thank you

Please provide a [minimal reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) aka a complete minimal shiny app. In general, you can use `if/else` in the `renderPlot` call depending on `input$ind_access`. — starja, Aug 04 '20 at 21:22
Thank you @starja. I edited my code to provide a minimal reproducible example. — user1997567, Aug 04 '20 at 22:26

score 0 · Answer 1 · answered Aug 05 '20 at 00:16

You can try something like this.

output$gmplot <- renderPlot({
    ggplot(data = data_intacc(), aes_string(x = input$input1, y = input$input2, fill = input$input3)) + 
      geom_bar(stat = "identity")
  })

You have to specify the inputs in the right way for this to work. If you can share some more of your code, perhaps we can help you more.

score 0 · Answer 2 · answered Aug 05 '20 at 13:53

Thank you I found the solution. I made a wrap yof aes() function in an if statement:

p1 <- ggplot(data = data_intacc(), 
{if (input$ind_access == "reason_access" & input$dissag_access == "age_access") {
aes(x=value_1, y=value_2, fill= Total)
}}
{if (input$ind_access == "reason_access" & input$dissag_access == "gender_access") {
aes(x=value_3, y=value_4, fill= Total)
}}
)
+geom_bar(stat= "identity")
print(p1)

Shiny reactive data plotting using ggplot

2 Answers2