我是新手,并且正在尝试编写一个用户可以动态添加数据过滤器的应用程序(请参阅下面的代码)。 我认为insertUI和删除UI非常酷。 但是,我有几个问题:
1) I cannot address dynamically generates input$ids (see filterId in the code, l. 36 and l. 58)
2) in updateCheckboxGroupInput (l. 62) checkboxes are not preselected.
3) I cannot select data rows using which() (l. 74)
4) The checkboxes are not displayed inside the column, but spread over the whole page.
我非常感谢任何提示。
谢谢,Jordi
这里是代码:
library(shiny)
rowvalues <- function(col,data) {
as.list(unique(data[col]))
}
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
fluidRow(
column(6, actionButton('addFilter', 'Add filter')),
column(6, actionButton('removeFilter', 'Remove filter')),
offset = 6
),
tags$hr(),
tags$div(id = 'placeholderAddRemFilt'),
tags$div(id = 'placeholderFilter'),
width = 4 # sidebar
),
mainPanel(
tableOutput("data")
)
)
)
server <- function(input, output,session) {
filter <- character(0)
observeEvent(input$addFilter, {
add <- input$addFilter
filterId <- paste0('Filter', add)
headers <- names(mtcars)
insertUI(
selector = '#placeholderFilter',
ui = tags$div(
# selectInput(filterId, label = paste0("Filter ",add), # does not work
selectInput("ColFilter", label = paste0("Filter ",add),
choices = as.list(headers),
selected = 1),
checkboxGroupInput("RowFilter", label = "Select variable values",
choices = NULL, selected = NULL,
inline = TRUE, width = 4000),
id = filterId
)
)
filter <<- c(filter,filterId)
})
observeEvent(input$removeFilter, {
removeUI(
## pass in appropriate div id
selector = paste0('#', filter[length(filter)])
)
filter <<- filter[-length(filter)]
})
# observeEvent(input$filterId, { # does ntót work
observeEvent(input$ColFilter, {
col <- input$ColFilter
values <- as.list(unique(mtcars[col]))[[1]]
updateCheckboxGroupInput(session,"RowFilter", label = "Select variable values",
choices = values, selected = values,
inline = TRUE)
})
output$data <- renderTable({
col <- input$ColFilter
rows <- input$RowFilter
print(c("selected col: ",col))
print(c("selected rows: ",as.vector(rows)))
if(is.null(col)) mtcars
else {
mtcars[which(mtcars$col != rows),]
}
})
}
shinyApp(ui = ui, server = server)
答案 0 :(得分:5)
请参阅下面的代码以获取我的建议。我基本上做了你希望/尝试做的事情,即动态添加观察者,使每个新的过滤元素都有自己的观察者。事实证明:你可以做到。就像那样。所以我在精确的observeEvent中添加了观察者,其中ui元素被渲染,以给予他们所需的反应性。我甚至添加了#34; personal&#34;删除按钮,这比删除最底部的按钮更方便。此外,处理所有这些过滤器的逻辑将是一个聚合列表,它存储当前在各种过滤器中选择的所有信息。这使得renderTable部分更容易。
让自己熟悉代码,如果有任何不确定因素,请询问。
最好的问候
library(shiny)
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
fluidRow(
column(6, actionButton('addFilter', 'Add filter')),
offset = 6
),
tags$hr(),
tags$div(id = 'placeholderAddRemFilt'),
tags$div(id = 'placeholderFilter'),
width = 4 # sidebar
),
mainPanel(
tableOutput("data")
)
)
)
server <- function(input, output,session) {
filter <- character(0)
makeReactiveBinding("aggregFilterObserver")
aggregFilterObserver <- list()
observeEvent(input$addFilter, {
add <- input$addFilter
filterId <- paste0('Filter_', add)
colfilterId <- paste0('Col_Filter_', add)
rowfilterId <- paste0('Row_Filter_', add)
removeFilterId <- paste0('Remove_Filter_', add)
headers <- names(mtcars)
insertUI(
selector = '#placeholderFilter',
ui = tags$div(id = filterId,
actionButton(removeFilterId, label = "Remove filter", style = "float: right;"),
selectInput(colfilterId, label = "Some Filter", choices = as.list(headers), selected = 1),
checkboxGroupInput(rowfilterId, label = "Select variable values",
choices = NULL, selected = NULL, width = 4000)
)
)
observeEvent(input[[colfilterId]], {
col <- input[[colfilterId]]
values <- as.list(unique(mtcars[col]))[[1]]
updateCheckboxGroupInput(session, rowfilterId , label = "Select variable values",
choices = values, selected = values, inline = TRUE)
aggregFilterObserver[[filterId]]$col <<- col
aggregFilterObserver[[filterId]]$rows <<- NULL
})
observeEvent(input[[rowfilterId]], {
rows <- input[[rowfilterId]]
aggregFilterObserver[[filterId]]$rows <<- rows
})
observeEvent(input[[removeFilterId]], {
removeUI(selector = paste0('#', filterId))
aggregFilterObserver[[filterId]] <<- NULL
})
})
output$data <- renderTable({
dataSet <- mtcars
invisible(lapply(aggregFilterObserver, function(filter){
dataSet <<- dataSet[which(!(dataSet[[filter$col]] %in% filter$rows)), ]
}))
dataSet
})
}
shinyApp(ui = ui, server = server)