我想将复选框标签的帮助文本作为工具提示。
在下面的示例中,我使用了shinyBS
包 - 但我只能使用它来处理复选框输入组的标题。
任何想法如何在“Lernerfolg”或“Enthusiasmus”标签之后起作用?
library(shiny)
library(shinyBS)
server <- function(input, output) {
output$distPlot <- renderPlot({
hist(rnorm(input$obs), col = 'darkgray', border = 'white')
output$rendered <- renderUI({
checkboxGroupInput("qualdim", tags$span("Auswahl der Qualitätsdimension",
tipify(bsButton("pB2", "?", style = "inverse", size = "extra-small"),
"Here, I can place some help")),
c("Lernerfolg" = "Lernerfolg" ,
"Enthusiasmus" = "Enthusiasmus"
),
selected = c("Lernerfolg"))
})
})
}
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
sliderInput("obs", "Number of observations:", min = 10, max = 500, value = 100),
uiOutput("rendered")
),
mainPanel(plotOutput("distPlot"))
)
)
shinyApp(ui = ui, server = server)
答案 0 :(得分:7)
可悲的是,这是其中一个时刻,闪亮隐藏了大部分建筑,这使得很难将你想要的东西带到正确的地方。
但是和大多数时候一样,一些JavaScript可以解决这个问题。我写了一个函数,在正确的位置插入bsButton
并调用shinyBS函数来插入工具提示。 (我主要重构tipify
和bdButton
会做什么。)使用该功能,您可以轻松地修改工具提示,而无需进一步了解JavaScript。
如果您想了解更多详情,请在评论中提问。
注意:当您参考该复选框时,请使用它的值(发送到input$qualdim
的值)
library(shiny)
library(shinyBS)
server <- function(input, output) {
makeCheckboxTooltip <- function(checkboxValue, buttonLabel, Tooltip){
script <- tags$script(HTML(paste0("
$(document).ready(function() {
var inputElements = document.getElementsByTagName('input');
for(var i = 0; i < inputElements.length; i++){
var input = inputElements[i];
if(input.getAttribute('value') == '", checkboxValue, "'){
var buttonID = 'button_' + Math.floor(Math.random()*1000);
var button = document.createElement('button');
button.setAttribute('id', buttonID);
button.setAttribute('type', 'button');
button.setAttribute('class', 'btn action-button btn-inverse btn-xs');
button.appendChild(document.createTextNode('", buttonLabel, "'));
input.parentElement.parentElement.appendChild(button);
shinyBS.addTooltip(buttonID, \"tooltip\", {\"placement\": \"bottom\", \"trigger\": \"hover\", \"title\": \"", Tooltip, "\"})
};
}
});
")))
htmltools::attachDependencies(script, shinyBS:::shinyBSDep)
}
output$distPlot <- renderPlot({
hist(rnorm(input$obs), col = 'darkgray', border = 'white')
output$rendered <- renderUI({
list(
checkboxGroupInput("qualdim", tags$span("Auswahl der Qualitätsdimension",
tipify(bsButton("pB2", "?", style = "inverse", size = "extra-small"), "Here, I can place some help")),
choices = c("Lernerfolg" = "Lernerfolg", "Enthusiasmus" = "Enthusiasmus"),
selected = c("Lernerfolg")),
makeCheckboxTooltip(checkboxValue = "Lernerfolg", buttonLabel = "?", Tooltip = "Look! I can produce a tooltip!")
)
})
})
}
ui <- fluidPage(
sidebarLayout(
sidebarPanel(
sliderInput("obs", "Number of observations:", min = 10, max = 500, value = 100),
uiOutput("rendered")
),
mainPanel(plotOutput("distPlot"))
)
)
shinyApp(ui = ui, server = server)
添加了ShinyBS依赖项,以便将shinyBS的JavaScript API加载到WebSite中。之前,由于对bsButton
的另一次调用,这或多或少意外地发生了。
所以这个JavaScript的东西非常好,但有点容易出错,并要求开发人员有一些额外的语言技能。
在这里,我提出另一个答案,受@CharlFrancoisMarais的启发,仅在R
内有效,并使事物比以前更加整合。
主要内容是:checkboxGrouInput
的扩展功能,允许向每个Checkbox元素添加任何元素。在那里,可以像在普通标记中一样自由放置bsButton
和工具提示,并支持所有函数参数。
其次,对bsButton
进行扩展以使其正确。这仅仅是针对@CharlFrancoisMarais请求的自定义内容。
我建议您仔细阅读Shiny
- 元素操作,因为这会在R
级别上提供如此多的自定义。我有点退出。
以下完整代码:
library(shiny)
library(shinyBS)
extendedCheckboxGroup <- function(..., extensions = list()) {
cbg <- checkboxGroupInput(...)
nExtensions <- length(extensions)
nChoices <- length(cbg$children[[2]]$children[[1]])
if (nExtensions > 0 && nChoices > 0) {
lapply(1:min(nExtensions, nChoices), function(i) {
# For each Extension, add the element as a child (to one of the checkboxes)
cbg$children[[2]]$children[[1]][[i]]$children[[2]] <<- extensions[[i]]
})
}
cbg
}
bsButtonRight <- function(...) {
btn <- bsButton(...)
# Directly inject the style into the shiny element.
btn$attribs$style <- "float: right;"
btn
}
server <- function(input, output) {
output$distPlot <- renderPlot({
hist(rnorm(input$obs), col = 'darkgray', border = 'white')
output$rendered <- renderUI({
extendedCheckboxGroup("qualdim", label = "Checkbox", choiceNames = c("cb1", "cb2"), choiceValues = c("check1", "check2"), selected = c("check2"),
extensions = list(
tipify(bsButtonRight("pB1", "?", style = "inverse", size = "extra-small"),
"Here, I can place some help"),
tipify(bsButtonRight("pB2", "?", style = "inverse", size = "extra-small"),
"Here, I can place some other help")
))
})
})
}
ui <- fluidPage(
shinyjs::useShinyjs(),
tags$head(HTML("<script type='text/javascript' src='sbs/shinyBS.js'></script>")),
# useShinyBS
sidebarLayout(
sidebarPanel(
sliderInput("obs", "Number of observations:", min = 10, max = 500, value = 100),
uiOutput("rendered")
),
mainPanel(plotOutput("distPlot"))
)
)
shinyApp(ui = ui, server = server)
答案 1 :(得分:1)
这是一个小小的改动 - 仅向复选框添加工具提示。
library(shiny)
library(shinyBS)
server <- function(input, output) {
makeCheckboxTooltip <- function(checkboxValue, buttonLabel, buttonId, Tooltip){
tags$script(HTML(paste0("
$(document).ready(function() {
var inputElements = document.getElementsByTagName('input');
for(var i = 0; i < inputElements.length; i++) {
var input = inputElements[i];
if(input.getAttribute('value') == '", checkboxValue, "' && input.getAttribute('value') != 'null') {
var button = document.createElement('button');
button.setAttribute('id', '", buttonId, "');
button.setAttribute('type', 'button');
button.setAttribute('class', 'btn action-button btn-inverse btn-xs');
button.style.float = 'right';
button.appendChild(document.createTextNode('", buttonLabel, "'));
input.parentElement.parentElement.appendChild(button);
shinyBS.addTooltip('", buttonId, "', \"tooltip\", {\"placement\": \"right\", \"trigger\": \"click\", \"title\": \"", Tooltip, "\"})
};
}
});
")))
}
output$distPlot <- renderPlot({
hist(rnorm(input$obs), col = 'darkgray', border = 'white')
output$rendered <- renderUI({
checkboxGroupInput("qualdim",
label = "Checkbox",
choiceNames = c("cb1", "cb2"),
choiceValues = c("check1", "check2"),
selected = c("check2"))
})
output$tooltips <- renderUI({
list(
makeCheckboxTooltip(checkboxValue = "check1", buttonLabel = "?", buttonId = "btn1", Tooltip = "tt1!"),
makeCheckboxTooltip(checkboxValue = "check2", buttonLabel = "?", buttonId = "btn2", Tooltip = "tt2!")
)
})
})
}
ui <- fluidPage(
shinyjs::useShinyjs(),
tags$head(HTML("<script type='text/javascript' src='sbs/shinyBS.js'></script>")),
# useShinyBS
sidebarLayout(
sidebarPanel(
sliderInput("obs", "Number of observations:", min = 10, max = 500, value = 100),
uiOutput("rendered"),
uiOutput("tooltips")
),
mainPanel(plotOutput("distPlot"))
)
)
shinyApp(ui = ui, server = server)