从 conditionalPanel 获取输入值
Get input values from conditionalPanel
我正在尝试生成一个闪亮的应用程序,它首先允许用户(使用 dplyr 动词的概念)select 他们感兴趣的变量,然后根据后续 select离子。我正在尝试使用 conditionalPanel()
来执行此操作,但我无法找到一种方法来从每个条件面板访问 input$
。
这是一个例子:
library('shiny')
library('tidyverse')
library('shinyWidgets')
#Create the data
data <- select(mtcars, c(gear, carb))
#Create page with sidebarlayout
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
#Create picker input where relevant variables are selected
pickerInput(
inputId = 'vars',
label = 'Variables',
choices = colnames(data),
selected = colnames(data),
multiple = T,
pickerOptions(actionsBox = TRUE)
),
#Create conditional panels which show when the variable above is selected
#These panels will be used to filter the data that is selected based on the above variables
conditionalPanel(condition = "input.vars.includes('gear')",
pickerInput(inputId = 'gear',
label = 'Gear',
choices = unique(data$gear),
selected = unique(data$gear),
multiple = T,
pickerOptions(actionsBox = TRUE)
)
),
conditionalPanel(condition = "input.vars.includes('carb')",
pickerInput(inputId = 'carb',
label = 'Carb',
choices = unique(data$carb),
selected = unique(data$carb),
multiple = T,
pickerOptions(actionsBox = TRUE)
)
)
),
mainPanel(
#Show the selected data
verbatimTextOutput('term_selected'),
#Show the selected and filtered data - this won't show
verbatimTextOutput('term_selected_filtered'),
#Try debug with just getting the
verbatimTextOutput('debug_print')
)
)
)
server <- function(input, output) {
#Create the reactive selected data
selected_data <- reactive ({
data %>%
select(input$vars)
})
#Render the selected data
output$term_selected <- renderPrint(selected_data())
#This is where i am stuck
#I need to find a way to access the inputs related to the conditional functions
# selected_filtered_data <- reactive ({
# for (i in length(input$vars)) {
# selected_data() %>%
# filter(input$[first condiitonal panel select] %in% as.symbol(input$vars[i])
# }
# })
#
output$term_selected_filtered <- renderPrint(selected_filtered_data())
#Try to render input input$[first item of input.vars]
output$debug_print <- renderPrint(input$as.symbol(input$vars[1]))
}
shinyApp(ui = ui, server = server)
问题出在服务器上。我已经尝试 input$as.symbol(input$vars[1])
访问 input$gear
(假设是 selected),但它只是抛出错误:attempt to apply non-function
。我尝试在 as.symbol()
前面添加 !!
作为语法糖,但这没有什么区别。
我也尝试过这个,希望能有条件地过滤,但没有成功。
selected_filtered_data <- reactive({
selected_data() %>%
if('gear' %in% input$vars) {
filter(gear %in% input$gear) %>%
}
if('carb' %in% input$vars) {
filter(carb %in% input$carb)
}
})
我应该怎么做?
我们可以使用 across
(如果我们想在两个列条件都为真时 filter
行)或将 across
替换为 if_any
(如果其中任何一个当它们都被选中时它们是 TRUE)
selected_data() %>%
filter(across(all_of(intersect(input$vars,
c('gear', "carb"))), ~ .x %in% input[[cur_column()]]))
-完整代码
library('shiny')
library('dplyr')
library(tidyr)
library('shinyWidgets')
#Create the data
data <- select(mtcars, c(gear, carb))
#Create page with sidebarlayout
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
#Create picker input where relevant variables are selected
pickerInput(
inputId = 'vars',
label = 'Variables',
choices = colnames(data),
selected = colnames(data),
multiple = TRUE,
pickerOptions(actionsBox = TRUE)
),
#Create conditional panels which show when the variable above is selected
#These panels will be used to filter the data that is selected based on the above variables
conditionalPanel(condition = "input.vars.includes('gear')",
pickerInput(inputId = 'gear',
label = 'Gear',
choices = unique(data$gear),
selected = unique(data$gear),
multiple = T,
pickerOptions(actionsBox = TRUE)
)
),
conditionalPanel(condition = "input.vars.includes('carb')",
pickerInput(inputId = 'carb',
label = 'Carb',
choices = unique(data$carb),
selected = unique(data$carb),
multiple = TRUE,
pickerOptions(actionsBox = TRUE)
)
)
),
mainPanel(
#Show the selected data
verbatimTextOutput('term_selected'),
#Show the selected and filtered data - this won't show
verbatimTextOutput('term_selected_filtered'),
#Try debug with just getting the
verbatimTextOutput('debug_print')
)
)
)
server <- function(input, output) {
#Create the reactive selected data
selected_data <- reactive ({
req(input$vars)
data %>%
select(input$vars)
})
#Render the selected data
output$term_selected <- renderPrint(selected_data())
#This is where i am stuck
#I need to find a way to access the inputs related to the conditional functions
selected_filtered_data <- reactive ({
selected_data() %>%
filter(across(all_of(intersect(input$vars, c('gear', "carb"))), ~ .x %in% input[[cur_column()]]))
})
#
output$term_selected_filtered <- renderPrint(
selected_filtered_data()
)
output$debug_print <- renderPrint(input[[input$vars[1]]])
}
shinyApp(ui = ui, server = server)
-输出
我正在尝试生成一个闪亮的应用程序,它首先允许用户(使用 dplyr 动词的概念)select 他们感兴趣的变量,然后根据后续 select离子。我正在尝试使用 conditionalPanel()
来执行此操作,但我无法找到一种方法来从每个条件面板访问 input$
。
这是一个例子:
library('shiny')
library('tidyverse')
library('shinyWidgets')
#Create the data
data <- select(mtcars, c(gear, carb))
#Create page with sidebarlayout
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
#Create picker input where relevant variables are selected
pickerInput(
inputId = 'vars',
label = 'Variables',
choices = colnames(data),
selected = colnames(data),
multiple = T,
pickerOptions(actionsBox = TRUE)
),
#Create conditional panels which show when the variable above is selected
#These panels will be used to filter the data that is selected based on the above variables
conditionalPanel(condition = "input.vars.includes('gear')",
pickerInput(inputId = 'gear',
label = 'Gear',
choices = unique(data$gear),
selected = unique(data$gear),
multiple = T,
pickerOptions(actionsBox = TRUE)
)
),
conditionalPanel(condition = "input.vars.includes('carb')",
pickerInput(inputId = 'carb',
label = 'Carb',
choices = unique(data$carb),
selected = unique(data$carb),
multiple = T,
pickerOptions(actionsBox = TRUE)
)
)
),
mainPanel(
#Show the selected data
verbatimTextOutput('term_selected'),
#Show the selected and filtered data - this won't show
verbatimTextOutput('term_selected_filtered'),
#Try debug with just getting the
verbatimTextOutput('debug_print')
)
)
)
server <- function(input, output) {
#Create the reactive selected data
selected_data <- reactive ({
data %>%
select(input$vars)
})
#Render the selected data
output$term_selected <- renderPrint(selected_data())
#This is where i am stuck
#I need to find a way to access the inputs related to the conditional functions
# selected_filtered_data <- reactive ({
# for (i in length(input$vars)) {
# selected_data() %>%
# filter(input$[first condiitonal panel select] %in% as.symbol(input$vars[i])
# }
# })
#
output$term_selected_filtered <- renderPrint(selected_filtered_data())
#Try to render input input$[first item of input.vars]
output$debug_print <- renderPrint(input$as.symbol(input$vars[1]))
}
shinyApp(ui = ui, server = server)
问题出在服务器上。我已经尝试 input$as.symbol(input$vars[1])
访问 input$gear
(假设是 selected),但它只是抛出错误:attempt to apply non-function
。我尝试在 as.symbol()
前面添加 !!
作为语法糖,但这没有什么区别。
我也尝试过这个,希望能有条件地过滤,但没有成功。
selected_filtered_data <- reactive({
selected_data() %>%
if('gear' %in% input$vars) {
filter(gear %in% input$gear) %>%
}
if('carb' %in% input$vars) {
filter(carb %in% input$carb)
}
})
我应该怎么做?
我们可以使用 across
(如果我们想在两个列条件都为真时 filter
行)或将 across
替换为 if_any
(如果其中任何一个当它们都被选中时它们是 TRUE)
selected_data() %>%
filter(across(all_of(intersect(input$vars,
c('gear', "carb"))), ~ .x %in% input[[cur_column()]]))
-完整代码
library('shiny')
library('dplyr')
library(tidyr)
library('shinyWidgets')
#Create the data
data <- select(mtcars, c(gear, carb))
#Create page with sidebarlayout
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
#Create picker input where relevant variables are selected
pickerInput(
inputId = 'vars',
label = 'Variables',
choices = colnames(data),
selected = colnames(data),
multiple = TRUE,
pickerOptions(actionsBox = TRUE)
),
#Create conditional panels which show when the variable above is selected
#These panels will be used to filter the data that is selected based on the above variables
conditionalPanel(condition = "input.vars.includes('gear')",
pickerInput(inputId = 'gear',
label = 'Gear',
choices = unique(data$gear),
selected = unique(data$gear),
multiple = T,
pickerOptions(actionsBox = TRUE)
)
),
conditionalPanel(condition = "input.vars.includes('carb')",
pickerInput(inputId = 'carb',
label = 'Carb',
choices = unique(data$carb),
selected = unique(data$carb),
multiple = TRUE,
pickerOptions(actionsBox = TRUE)
)
)
),
mainPanel(
#Show the selected data
verbatimTextOutput('term_selected'),
#Show the selected and filtered data - this won't show
verbatimTextOutput('term_selected_filtered'),
#Try debug with just getting the
verbatimTextOutput('debug_print')
)
)
)
server <- function(input, output) {
#Create the reactive selected data
selected_data <- reactive ({
req(input$vars)
data %>%
select(input$vars)
})
#Render the selected data
output$term_selected <- renderPrint(selected_data())
#This is where i am stuck
#I need to find a way to access the inputs related to the conditional functions
selected_filtered_data <- reactive ({
selected_data() %>%
filter(across(all_of(intersect(input$vars, c('gear', "carb"))), ~ .x %in% input[[cur_column()]]))
})
#
output$term_selected_filtered <- renderPrint(
selected_filtered_data()
)
output$debug_print <- renderPrint(input[[input$vars[1]]])
}
shinyApp(ui = ui, server = server)
-输出