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@jcheng5 /server.R
Last active Sep 24, 2017

What would you like to do?
Shiny example: Diamonds Explorer
library(shiny)
library(ggplot2)
function(input, output) {
dataset <- reactive({
diamonds[sample(nrow(diamonds), input$sampleSize),]
})
output$plot <- renderPlot({
p <- ggplot(dataset(), aes_string(x=input$x, y=input$y)) + geom_point()
if (input$color != 'None')
p <- p + aes_string(color=input$color)
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)
}, height=700)
}
library(shiny)
library(ggplot2)
dataset <- diamonds
pageWithSidebar(
headerPanel("Diamonds Explorer"),
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))),
checkboxInput('jitter', 'Jitter'),
checkboxInput('smooth', 'Smooth'),
selectInput('facet_row', 'Facet Row', c(None='.', names(dataset))),
selectInput('facet_col', 'Facet Column', c(None='.', names(dataset)))
),
mainPanel(
plotOutput('plot')
)
)

ramsdgp commented Aug 29, 2013

what is the source of the data set, can i access that.

dataset <- reactive(function() {
diamonds[sample(nrow(diamonds), input$sampleSize),]
})

Impressive once I figured out which facet variable would be interesting to choose. For example X = price, Y=carat, Color=color, Facet Row = cut, Facet Column = clarity.

runApp() gives a warning: "Passing functions to 'reactive' is deprecated. Please use expressions instead." ?reactive doesn't talk about a replacement function. How would you update server.R to fix this deprecated function?

Owner

jcheng5 commented Mar 24, 2014

@paul4forest: Fixed, thanks. You stop passing in a real function and just pass in an expression. So reactive(function() { "foo" }) now becomes reactive({ "foo" }).

@ramsdgp: diamonds is a dataset built into the ggplot2 package. So you can see it more directly with something like:

library(ggplot2)
head(diamonds)

Hi. This fails for me with Error in grid.Call(L_textBounds, as.graphicsAnnot(x$label), x$x, x$y, : polygon edge not found. Any idea why? (edit--- please ignore I just needed to re-install Cairo)
Really useful example, thanks for sharing jcheng5!

Hi guys, I have a problem of building web apps with R using googleVis on shiny. My OS system is MacbookPro and I use RStudio. I updated GoogleVis to 0.56 version as well as shiny.
When I tried to repeat the first example on the following website (http://www.magesblog.com/2013/02/first-steps-of-using-googlevis-on-shiny.html), I got the error msg below.

Error:

  • Unable to deploy package dependency 'manipulate'

    The package was installed locally from source. Only packages
    installed from CRAN, BioConductor and GitHub are supported.

This is same error msg as the one I got two days ago when I tried to run GoogleVis and shiny together.
According to the website, "using googleVis on shiny" should be feasible, right!?
Any idea what's wrong on my issue?

Thanks for your time on reading and help.

For some reason, my app does not like printing both ggplot and qplot with the same function. Does qplot() have some different print command I'm not aware of?

Nevermind. Found I had another bug. Print command works FINE for both.

I am getting an error:

Warning: Error in as.character: cannot coerce type 'environment' to vector of type 'character'
Stack trace (innermost first):
    4: <Anonymous>
    3: do.call
    2: print.shiny.appobj
    1: <Promise>
Error : cannot coerce type 'environment' to vector of type 'character'
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