我想在开头添加一个新类别,它将选择表格的列。我无法将变量与应用程序中的其他元素组合在一起。有人可以向我解释我做错了什么吗?正如您在图形程序中看到的那样效果不佳。
library(shiny)
data <- data.frame(
Category1 = rep(letters[1:3], each = 15),
Info = paste("Text info", 1:45),
Category2 = sample(letters[15:20], 45, replace = T),
Size = sample(1:100, 45),
MoreStuff = paste("More Stuff", 1:45)
)
ui <- fluidPage(titlePanel("Test Explorer"),
sidebarLayout(
sidebarPanel(
selectizeInput(
"show_vars",
"Columns to show:",
choices = colnames(data),
multiple = TRUE,
selected = c("Category1", "Info", "Category2")
),
uiOutput("category1"),
uiOutput("category2"),
uiOutput("sizeslider")
),
mainPanel(tableOutput("table"))
))
server <- function(input, output, session) {
data2 <- reactive({
req(input$table)
if (input$table == "All") {
return(data)
}
data[, names(data) %in% input$show_vars]
})
output$category1 <- renderUI({
selectizeInput('cat1',
'Choose Cat 1',
choices = c("All", sort(as.character(
unique(data$Category1)
))),
selected = "All")
})
df_subset <- eventReactive(input$cat1, {
if (input$cat1 == "All") {
df_subset <- data
}
else{
df_subset <- data[data$Category1 == input$cat1, ]
}
})
df_subset1 <- reactive({
if (is.null(input$cat2)) {
df_subset()
} else {
df_subset()[df_subset()$Category2 %in% input$cat2, ]
}
})
output$category2 <- renderUI({
selectizeInput(
'cat2',
'Choose Cat 2 (optional):',
choices = sort(as.character(unique(
df_subset()$Category2
))),
multiple = TRUE,
options = NULL
)
})
output$sizeslider <- renderUI({
sliderInput(
"size",
label = "Size Range",
min = min(df_subset1()$Size),
max = max(df_subset1()$Size),
value = c(min(df_subset1()$Size), max(df_subset1()$Size))
)
})
df_subset2 <- reactive({
if (is.null(input$size)) {
df_subset1()
} else {
df_subset1()[df_subset1()$Size >= input$size[1] &
df_subset1()$Size <= input$size[2], ]
}
})
output$table <- renderTable({
df_subset2()
})
}
shinyApp(ui, server)
答案 0 :(得分:1)
您的代码几乎没有问题
data2()
中存储了列选择的无效值,并显示了表df_subset2()
。与您的代码一样,当您添加列并选择Cat1
下拉列表时,列会发生更改,因为其值取决于data.react
。 data
等通用名称来存储数据。有时会干扰R基本名称ObserveEvent
和eventReactive
以下是我修复的内容,您可以相应更改。
ObserveEvent
这样,只有在单击“提交”按钮时才会显示数据。 这是代码。
library(shiny)
data.input <- data.frame(
Category1 = rep(letters[1:3], each = 15),
Info = paste("Text info", 1:45),
Category2 = sample(letters[15:20], 45, replace = T),
Size = sample(1:100, 45),
MoreStuff = paste("More Stuff", 1:45)
)
<强> ui.r 强>
ui <- fluidPage(titlePanel("Test Explorer"),
sidebarLayout(
sidebarPanel(
selectizeInput(
"show_vars",
"Columns to show:",
choices = colnames(data.input),
multiple = TRUE,
selected = c("Category1", "Info", "Category2")
),
actionButton("button", "An action button"),
uiOutput("category1"),
uiOutput("category2"),
uiOutput("sizeslider")
),
mainPanel(tableOutput("table"))
))
<强> server.r 强>
server <- function(input, output, session) {
data.react <- eventReactive(input$button, {
data.input[, input$show_vars]
})
observeEvent(input$button, {
output$category1 <- renderUI({
data.sel <- data.react()
selectizeInput('cat1',
'Choose Cat 1',
choices = c("All", sort(as.character(
unique(data.sel$Category1)
))),
selected = "All")
})
df_subset <- eventReactive(input$cat1, {
data.sel <- data.react()
if (input$cat1 == "All") {
data.sel
}
else{
data.sel[data.sel$Category1 == input$cat1,]
}
})
output$category2 <- renderUI({
selectizeInput(
'cat2',
'Choose Cat 2 (optional):',
choices = sort(as.character(unique(
df_subset()$Category2
))),
multiple = TRUE,
options = NULL
)
})
df_subset1 <- reactive({
if (is.null(input$cat2)) {
df_subset()
} else {
df_subset()[df_subset()$Category2 %in% input$cat2,]
}
})
output$sizeslider <- renderUI({
sliderInput(
"size",
label = "Size Range",
min = min(data.input$Size),
max = max(data.input$Size),
value = c(min(data.input$Size), max(data.input$Size))
)
})
df_subset2 <- reactive({
if (is.null(input$size)) {
df_subset1()
} else {
df_subset1()[data.input$Size >= input$size[1] &
data.input$Size <= input$size[2],]
}
})
output$table <- renderTable({
df_subset2()
})
})
}
shinyApp(ui, server)