I have a general question about R Shiny application: I have a list of IDs that end-users can choose from in a drop-down menu (selectInput), and I hope to make a corresponding plot based on this ID. In other words, the selected variable will be passed as an argument in the plot function, and each time I choose a different ID, the plot is also changed. Can I know if this is doable in Shiny? I appreciate if anyone can provide a working example on similar problems. Thank you!
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This is definitely possible with shiny. Read through rstudio.github.io/shiny/tutorial/#welcome to see howJake Burkhead– Jake Burkhead2013-07-14 01:22:15 +00:00Commented Jul 14, 2013 at 1:22
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1 Answer
Here is a sample working example with dropdown as an argument. The output of this program can be viewed on http://glimmer.rstudio.com/bishwamitrad/ggplot2browser/ :
ui.R
library(shiny)
library(ggplot2)
## Define UI for miles per gallon application
dataset <- diamonds
title <- "Diamonds data Analysis"
## Define UI for application that plots random distributions
shinyUI(pageWithSidebar(
## Application title
headerPanel(title),
## Sidebar with a slider input for number of observations
sidebarPanel (
sliderInput('sampleSize','Sample Size', min=1, max=nrow(dataset),
value=min(1000,nrow(dataset)),
step=500,
round=0),
selectInput('x','X',names(dataset)),
selectInput('y','Y',names(dataset),
names(dataset)[[2]]),
selectInput('color','Color',c('None',names(dataset))),
selectInput('shape','Shape',c('None',names(dataset))),
checkboxInput('jitter','Jitter'),
checkboxInput('smooth','Smooth'),
selectInput('facet_col','Facet Column',
c(None='.',names(dataset))),
selectInput('facet_row','Facet Row',
c(None='.',names(dataset)))
),
## Show a plot of the generated distribution
mainPanel(plotOutput('plot',height="700px"))
)
)
server.R
library(shiny)
library(ggplot2)
## Define server logic required to generate and plot a random distribution
shinyServer(function(input,output) {
dataset <- reactive(function(){
diamonds[sample(nrow(diamonds),input$sampleSize),]
})
output$plot <- renderPlot(function(){
p <- ggplot(dataset(),aes_string(x=input$x, y=input$y))+geom_point()
if(input$color != 'None')
p <- p + aes_string(color=input$color)
if (input$shape != 'None')
p <- p + aes_string(shape=input$shape)
facets <- paste(input$facet_row, '~', input$facet_col)
if (facets != '. ~ .')
p <- p + facet_grid(facets)
if (input$jitter)
p <- p + geom_jitter()
if (input$smooth)
p <- p + geom_smooth()
print(p)
})
})
