我无法在Shiny中迭代加载和过滤数据表。理想的工作流程如下:
1和2工作正常,但我遇到了4的特殊问题(3的任何输入也将受到赞赏)。
无效的初始代码如下:
get_data=function(){ # note that this is for sample purpose, real function is MySQL query
df=data.frame(x=1:10,Age=1:100)
print("loading data...")
return(df)
}
ui = bootstrapPage(
fluidPage(
fluidRow(
actionButton(
inputId = "confirm_button",
label = "Confirm"
)
)
,
fluidRow(
column(4,
sliderInput("slider_age", label = h4("Age"), min = 0,
max = 100, value = c(0, 100))
)
),
hr(),
fluidRow(
DT::dataTableOutput("all_background_table")
)
)
)
server = function(input, output){
observeEvent(input$confirm_button, {
req(input$confirm_button)
output$all_background_table <- DT::renderDataTable({
all_background=get_data() # <- MySQL function to laod data
# if all_background filter function put here:
#--> data is re-loaded by MySQL query
# if all_background filter function is put here surrounded by observeEvent(input$slider_age, {...:
#--> there is no change when input$slider_age is changed
datatable(all_background,
rownames = FALSE,
style = "bootstrap")
})
})
observeEvent(input$slider_age, {
## this will throw an error requiring all_background
#--> Error in observeEventHandler: object 'all_background' not found
req(input$confirmation_load_pts)
all_background=all_background[(all_background$Age > as.numeric(input$slider_age[1]) & all_background$Age < as.numeric(input$slider_age[2])),]
})
}
shinyApp(ui, server)
答案 0 :(得分:1)
我不确定get_data(),但我会使用df
来简化它。使用eventReactive
,您可以在使用滑块后创建新的数据框,并且只有在单击确认按钮后才能创建。此方案不需要observeEvent
。
library(shiny)
library(DT)
get_data=function(){ # note that this is for sample purpose, real function is MySQL query
df=data.frame(x=1:10,Age=1:100)
print("loading data...")
return(df)
}
ui = bootstrapPage(
fluidPage(
fluidRow(
actionButton(
inputId = "confirm_button",
label = "Confirm"
)
)
,
fluidRow(
column(4,
sliderInput("slider_age", label = h4("Age"), min = 0,
max = 100, value = c(0, 100))
)
),
hr(),
fluidRow(
DT::dataTableOutput("all_background_table")
)
)
)
server = function(input, output){
test <- eventReactive(input$confirm_button, {
df=get_data()
})
observeEvent(input$confirm_button, {
output$all_background_table <- DT::renderDataTable({
df=test()
all_background2=df[(df$Age > as.numeric(input$slider_age[1]) & df$Age < as.numeric(input$slider_age[2])),]
datatable(all_background2,
rownames = FALSE,
style = "bootstrap")
})
})
}
shinyApp(ui, server)