如何在 R shiny 中渲染本地数据集
How to render the local datasets in R shiny
我有以下显示 CSV 结果的 R Shiny 代码。目前,它仅适用于 R 的默认数据集。我想在我的本地机器上以相同的方式显示数据集的 CSV 结果。
CSV 示例:Study1.csv、Study2.csv、Study3.csv
有人可以解释一下如何在 R shiny 中完成这个吗?
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
shinyApp(ui, server)
我添加了一个数据集:
dataset1 <- structure(list(This = c(1L, 7L, 3L), is_the = c(5L, 8L, 2L),
header = c(9L, 5L, 4L)), class = "data.frame", row.names = c(NA,
-3L))
您还可以通过
读取csv并将其用作数据集1
dataset1 <- read.csv("your path",sep="your seperator")
您的 UI 添加了数据集:
dataset1 <- structure(list(This = c(1L, 7L, 3L), is_the = c(5L, 8L, 2L),
header = c(9L, 5L, 4L)), class = "data.frame", row.names = c(NA,
-3L))
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars", "dataset1")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
你的服务器添加了dataset1
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars,
"dataset1" = dataset1)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
shinyApp(ui, server)
我有以下显示 CSV 结果的 R Shiny 代码。目前,它仅适用于 R 的默认数据集。我想在我的本地机器上以相同的方式显示数据集的 CSV 结果。
CSV 示例:Study1.csv、Study2.csv、Study3.csv
有人可以解释一下如何在 R shiny 中完成这个吗?
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
shinyApp(ui, server)
我添加了一个数据集:
dataset1 <- structure(list(This = c(1L, 7L, 3L), is_the = c(5L, 8L, 2L),
header = c(9L, 5L, 4L)), class = "data.frame", row.names = c(NA,
-3L))
您还可以通过
读取csv并将其用作数据集1dataset1 <- read.csv("your path",sep="your seperator")
您的 UI 添加了数据集:
dataset1 <- structure(list(This = c(1L, 7L, 3L), is_the = c(5L, 8L, 2L),
header = c(9L, 5L, 4L)), class = "data.frame", row.names = c(NA,
-3L))
ui <- fluidPage(
# App title ----
titlePanel("Downloading Data"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Choose dataset ----
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars", "dataset1")),
# Button
downloadButton("downloadData", "Download")
),
# Main panel for displaying outputs ----
mainPanel(
tableOutput("table")
)
)
)
你的服务器添加了dataset1
server <- function(input, output) {
# Reactive value for selected dataset ----
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars,
"dataset1" = dataset1)
})
# Table of selected dataset ----
output$table <- renderTable({
datasetInput()
})
# Downloadable csv of selected dataset ----
output$downloadData <- downloadHandler(
filename = function() {
paste(input$dataset, ".csv", sep = "")
},
content = function(file) {
write.csv(datasetInput(), file, row.names = FALSE)
}
)
}
shinyApp(ui, server)