在 Shiny 中渲染传单或绘图时删除不需要的白色 space
Remove unwanted white space when rendering leaflet or plot in Shiny
我希望我的 Shiny 应用程序的用户能够通过单击“事件”面板中的单选按钮在两种类型的绘图之间进行选择。我编写的代码有效,但是从“地图”到“绘图”时,页面留下了巨大的白色 space。有没有办法去掉白色的 space 并将情节放在最上面?
# Load R packages
library(shiny)
library(shinythemes)
library(tidyverse)
library(leaflet)
set.seed(123)
year <- 2001:2020
event <- sample(1:100, size = 20, replace = TRUE)
dat <- as.data.frame(cbind(year, event))
# Define UI
ui <- fluidPage(
shinyjs::useShinyjs(),
theme = shinytheme("journal"),
navbarPage(
"Title",
tabPanel("About",
),
tabPanel("Events",
fluidPage(
titlePanel("Title"),
sliderInput("range", label = "Move slider to select time period", min(2001), max(2020),
value = range(2001:2002), step = 1, sep = "", width = "65%"),
sidebarLayout(
sidebarPanel(
radioButtons("plotType", "Plot type", choices = c("Map" = "m", "Chart" = "l"))),
mainPanel(
leafletOutput("map"),
plotOutput("plot"))
)
)
)
)
)
# Define server function
server <- function(input, output, session) {
observeEvent(input$plotType, {
if(input$plotType == "l"){
shinyjs::disable("range")
}else{
shinyjs::enable("range")
}
})
output$plot <- renderPlot({
if (input$plotType == "l") {
ggplot(dat, aes(year, event)) +
geom_line() +
labs(x = "Year", y = "Events") +
theme_bw()
}
})
output$map <- renderLeaflet({
if ( input$plotType == "m") {
leaflet(dat) %>% addTiles() %>%
fitBounds(~min(11), ~min(54), ~max(67), ~max(24))
}
})
} # server
# Create Shiny object
shinyApp(ui = ui, server = server)
有一个很大的 space 因为地图 html 对象仍然存在,但是是空的。为避免这种情况,我创建并观察了根据输入值隐藏或显示地图输出的 observeEvent。我对情节做了同样的事情,因为你需要在它下面添加其他元素。
请注意,还有其他解决方案(例如 conditionalPanel),我只提供我认为最简单的解决方案。
# Load R packages
library(shiny)
library(shinythemes)
library(tidyverse)
library(leaflet)
set.seed(123)
year <- 2001:2020
event <- sample(1:100, size = 20, replace = TRUE)
dat <- as.data.frame(cbind(year, event))
# Define UI
ui <- fluidPage(
shinyjs::useShinyjs(),
theme = shinytheme("journal"),
navbarPage(
"Title",
tabPanel("About",
),
tabPanel("Events",
fluidPage(
titlePanel("Title"),
sliderInput("range", label = "Move slider to select time period", min(2001), max(2020),
value = range(2001:2002), step = 1, sep = "", width = "65%"),
sidebarLayout(
sidebarPanel(
radioButtons("plotType", "Plot type", choices = c("Map" = "m", "Chart" = "l"))),
mainPanel(
leafletOutput("map"),
plotOutput("plot"))
)
)
)
)
)
# Define server function
server <- function(input, output, session) {
# hide or show map and plot
observeEvent(input$plotType, {
if(input$plotType == "l"){
shinyjs::disable("range")
shinyjs::hide("map")
shinyjs::show("plot")
}
if(input$plotType == "m"){
shinyjs::enable("range")
shinyjs::show("map")
shinyjs::hide("plot")
}
})
output$plot <- renderPlot({
req(input$plotType == "l") # good practice to use req instead of if
ggplot(dat, aes(year, event)) +
geom_line() +
labs(x = "Year", y = "Events") +
theme_bw()
})
output$map <- renderLeaflet({
req(input$plotType == "m")
leaflet(dat) %>% addTiles() %>%
fitBounds(~min(11), ~min(54), ~max(67), ~max(24))
})
} # server
# Create Shiny object
shinyApp(ui = ui, server = server)
我希望我的 Shiny 应用程序的用户能够通过单击“事件”面板中的单选按钮在两种类型的绘图之间进行选择。我编写的代码有效,但是从“地图”到“绘图”时,页面留下了巨大的白色 space。有没有办法去掉白色的 space 并将情节放在最上面?
# Load R packages
library(shiny)
library(shinythemes)
library(tidyverse)
library(leaflet)
set.seed(123)
year <- 2001:2020
event <- sample(1:100, size = 20, replace = TRUE)
dat <- as.data.frame(cbind(year, event))
# Define UI
ui <- fluidPage(
shinyjs::useShinyjs(),
theme = shinytheme("journal"),
navbarPage(
"Title",
tabPanel("About",
),
tabPanel("Events",
fluidPage(
titlePanel("Title"),
sliderInput("range", label = "Move slider to select time period", min(2001), max(2020),
value = range(2001:2002), step = 1, sep = "", width = "65%"),
sidebarLayout(
sidebarPanel(
radioButtons("plotType", "Plot type", choices = c("Map" = "m", "Chart" = "l"))),
mainPanel(
leafletOutput("map"),
plotOutput("plot"))
)
)
)
)
)
# Define server function
server <- function(input, output, session) {
observeEvent(input$plotType, {
if(input$plotType == "l"){
shinyjs::disable("range")
}else{
shinyjs::enable("range")
}
})
output$plot <- renderPlot({
if (input$plotType == "l") {
ggplot(dat, aes(year, event)) +
geom_line() +
labs(x = "Year", y = "Events") +
theme_bw()
}
})
output$map <- renderLeaflet({
if ( input$plotType == "m") {
leaflet(dat) %>% addTiles() %>%
fitBounds(~min(11), ~min(54), ~max(67), ~max(24))
}
})
} # server
# Create Shiny object
shinyApp(ui = ui, server = server)
有一个很大的 space 因为地图 html 对象仍然存在,但是是空的。为避免这种情况,我创建并观察了根据输入值隐藏或显示地图输出的 observeEvent。我对情节做了同样的事情,因为你需要在它下面添加其他元素。
请注意,还有其他解决方案(例如 conditionalPanel),我只提供我认为最简单的解决方案。
# Load R packages
library(shiny)
library(shinythemes)
library(tidyverse)
library(leaflet)
set.seed(123)
year <- 2001:2020
event <- sample(1:100, size = 20, replace = TRUE)
dat <- as.data.frame(cbind(year, event))
# Define UI
ui <- fluidPage(
shinyjs::useShinyjs(),
theme = shinytheme("journal"),
navbarPage(
"Title",
tabPanel("About",
),
tabPanel("Events",
fluidPage(
titlePanel("Title"),
sliderInput("range", label = "Move slider to select time period", min(2001), max(2020),
value = range(2001:2002), step = 1, sep = "", width = "65%"),
sidebarLayout(
sidebarPanel(
radioButtons("plotType", "Plot type", choices = c("Map" = "m", "Chart" = "l"))),
mainPanel(
leafletOutput("map"),
plotOutput("plot"))
)
)
)
)
)
# Define server function
server <- function(input, output, session) {
# hide or show map and plot
observeEvent(input$plotType, {
if(input$plotType == "l"){
shinyjs::disable("range")
shinyjs::hide("map")
shinyjs::show("plot")
}
if(input$plotType == "m"){
shinyjs::enable("range")
shinyjs::show("map")
shinyjs::hide("plot")
}
})
output$plot <- renderPlot({
req(input$plotType == "l") # good practice to use req instead of if
ggplot(dat, aes(year, event)) +
geom_line() +
labs(x = "Year", y = "Events") +
theme_bw()
})
output$map <- renderLeaflet({
req(input$plotType == "m")
leaflet(dat) %>% addTiles() %>%
fitBounds(~min(11), ~min(54), ~max(67), ~max(24))
})
} # server
# Create Shiny object
shinyApp(ui = ui, server = server)