R programming mudah di aplikasikan di gadget, di sini akan diberikan contoh sederhana aplikasi R programming untuk gadget.
Berikut script R nya:
Script ui.R
library(shiny)
library(miniUI)
library(leaflet)
library(ggplot2)
ui <- miniPage(
gadgetTitleBar("Example R in Gadget"),
miniTabstripPanel(
miniTabPanel("Parameters", icon = icon("sliders"),
miniContentPanel(
sliderInput("year", "Year", 1978, 2010, c(2000, 2010), sep = "")
)
),
miniTabPanel("Visualize", icon = icon("area-chart"),
miniContentPanel(
plotOutput("cars", height = "100%")
)
),
miniTabPanel("Map", icon = icon("map-o"),
miniContentPanel(padding = 0,
leafletOutput("map", height = "100%")
),
miniButtonBlock(
actionButton("resetMap", "Reset")
)
),
miniTabPanel("Data", icon = icon("table"),
miniContentPanel(
DT::dataTableOutput("table")
)
)
)
)
library(miniUI)
library(leaflet)
library(ggplot2)
ui <- miniPage(
gadgetTitleBar("Example R in Gadget"),
miniTabstripPanel(
miniTabPanel("Parameters", icon = icon("sliders"),
miniContentPanel(
sliderInput("year", "Year", 1978, 2010, c(2000, 2010), sep = "")
)
),
miniTabPanel("Visualize", icon = icon("area-chart"),
miniContentPanel(
plotOutput("cars", height = "100%")
)
),
miniTabPanel("Map", icon = icon("map-o"),
miniContentPanel(padding = 0,
leafletOutput("map", height = "100%")
),
miniButtonBlock(
actionButton("resetMap", "Reset")
)
),
miniTabPanel("Data", icon = icon("table"),
miniContentPanel(
DT::dataTableOutput("table")
)
)
)
)
Script server.R
library(shiny)
library(miniUI)
library(leaflet)
library(ggplot2)
server <- function(input, output, session) {
output$cars <- renderPlot({
require(ggplot2)
ggplot(cars, aes(speed, dist)) + geom_point()
})
output$map <- renderLeaflet({
force(input$resetMap)
leaflet(quakes, height = "100%") %>% addTiles() %>%
addMarkers(lng = ~long, lat = ~lat)
})
output$table <- DT::renderDataTable({
diamonds
})
observeEvent(input$done, {
stopApp(TRUE)
})
}
library(miniUI)
library(leaflet)
library(ggplot2)
server <- function(input, output, session) {
output$cars <- renderPlot({
require(ggplot2)
ggplot(cars, aes(speed, dist)) + geom_point()
})
output$map <- renderLeaflet({
force(input$resetMap)
leaflet(quakes, height = "100%") %>% addTiles() %>%
addMarkers(lng = ~long, lat = ~lat)
})
output$table <- DT::renderDataTable({
diamonds
})
observeEvent(input$done, {
stopApp(TRUE)
})
}
Setelah di upload di server shiny.io, maka hasilnya dapat dilihat di gadget
Referensi:
Health prediction
Education
Rstudio
Kursus R
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