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)
})
}
library(ggplot2)
dataset <- diamonds
fluidPage(
title = "Diamonds Explorer",
plotOutput('plot'),
hr(),
fluidRow(
column(3,
h4("Diamonds Explorer"),
sliderInput('sampleSize', 'Sample Size',
min=1, max=nrow(dataset),
value=min(1000, nrow(dataset)),
step=500, round=0),
br(),
checkboxInput('jitter', 'Jitter'),
checkboxInput('smooth', 'Smooth')
),
column(4, offset = 1,
selectInput('x', 'X', names(dataset)),
selectInput('y', 'Y', names(dataset), names(dataset)[[2]]),
selectInput('color', 'Color', c('None', names(dataset)))
),
column(4,
selectInput('facet_row', 'Facet Row',
c(None='.', names(diamonds[sapply(diamonds, is.factor)]))),
selectInput('facet_col', 'Facet Column',
c(None='.', names(diamonds[sapply(diamonds, is.factor)])))
)
)
)