传单中用户输入的突出显示标记 - R Shiny
Highlight marker from user input in leaflet - R Shiny
我正在尝试根据用户输入滑块突出显示地图中的点。如果该点在某个日期范围内,则更改颜色,如果不在,则默认为黑色。
#server
shinyServer(function(input, output,session) {
output$myMap <- renderLeaflet({
leaflet() %>%
addTiles()%>%
addCircles(data=df,
# ~Longitude,
# ~Latitude,
group = "myMarkers",
label = ~htmlEscape(date))
})
observeEvent(input$selectVariable, {
mydat$col_format<- ifelse(mydat$Date >= input$falltime[1] & mydat$Date <= input$falltime [2],'blue',
ifelse(mydat$Date >= input$springtime[1] & mydat$Date <= input$springtime [2], 'black',
ifelse (mydat$Date, 'yellow')) )
leafletProxy("myMap") %>%
clearGroup("myMarkers") %>%
addCircles(data = df[df$AnimlID == input$selectVariable, ],
#~ mydat$Longitd ,
#~ mydat$Latitud,
group = "myMarkers",
col = mydat$col_format,
label = ~htmlEscape(date)
)
})
})
#ui shinyUI(dashboardPage(#skin = "black",
dashboardHeader(title = "Mapping Test", titleWidth = 350
),
dashboardSidebar(width = 350,
selectInput("selectVariable", label = h4("Select an D:"),
choices = unique(df$id)),
sliderInput("falltime","NSD Fall Slider:",
min = min, max = max, value = c(min, max)),
verbatimTextOutput("dateText"),
sliderInput("springtime","NSD Spring Slider:",
min = min, max = max, value = c(min, max)),
actionButton("submit", ("Submit"))),
dashboardBody(fluidPage(
box( plotOutput("plotlraj")),
box( leafletOutput("myMap")),
box(DT::dataTableOutput("Table"),
)
),
)
))
使用上面的代码我没有收到任何错误,但是地图加载真的很慢,而且无论滑块输入设置的日期范围如何,点总是蓝色的。
我也试过添加这个反应块,但同样,即使我更改滑块日期范围,所有点都是蓝色的
colorpal<- reactive({
if(mydat$Date >= input$falltime[1] & mydat$Date <= input$falltime [2]){
mydat[,'seasonColor']<-'#626262'
}
if(mydat$Date >= input$springtime[1] & mydat$Date <= input$springtime [2]){
mydat[,'seasonColor']<-'#BAF218
'
}
使用 quakes
以便其他人可以复制。
在 filtered_df
反应函数中,根据需要操纵 data.frame。我更喜欢使用 dplyr,但我显示的是 base R。
req()
用于确保这些输入具有值。
传单实例化中不需要addCircles()
。一旦 filtered_df()
准备就绪,observe
反应式将负责显示圆圈,之后每次更改时。
为简洁起见,仅显示服务器代码。
output$myMap <- renderLeaflet({
leaflet() %>%
addTiles()
})
filtered_df <- reactive({
req(input$depth_slider,
input$mag_slider)
filtered_df <- quakes[quakes$depth <= input$depth_slider,]
filtered_df[filtered_df$mag <= input$mag_slider, 'Strength'] <- 'Weak'
filtered_df[filtered_df$mag > input$mag_slider, 'Strength'] <- 'Strong'
return(filtered_df)
})
observe({
filtered_df <- filtered_df()
pal <- colorFactor(c('Green', 'Red'), domain = filtered_df$Strength)
leafletProxy('myMap') %>%
clearGroup('myMarkers') %>%
clearControls() %>%
addCircles(
data = filtered_df,
lng = ~long,
lat = ~lat,
group = 'myMarkers',
color = ~pal(Strength)
) %>%
addLegend(
pal = pal,
values = filtered_df$Strength
)
})
我正在尝试根据用户输入滑块突出显示地图中的点。如果该点在某个日期范围内,则更改颜色,如果不在,则默认为黑色。
#server
shinyServer(function(input, output,session) {
output$myMap <- renderLeaflet({
leaflet() %>%
addTiles()%>%
addCircles(data=df,
# ~Longitude,
# ~Latitude,
group = "myMarkers",
label = ~htmlEscape(date))
})
observeEvent(input$selectVariable, {
mydat$col_format<- ifelse(mydat$Date >= input$falltime[1] & mydat$Date <= input$falltime [2],'blue',
ifelse(mydat$Date >= input$springtime[1] & mydat$Date <= input$springtime [2], 'black',
ifelse (mydat$Date, 'yellow')) )
leafletProxy("myMap") %>%
clearGroup("myMarkers") %>%
addCircles(data = df[df$AnimlID == input$selectVariable, ],
#~ mydat$Longitd ,
#~ mydat$Latitud,
group = "myMarkers",
col = mydat$col_format,
label = ~htmlEscape(date)
)
})
})
#ui shinyUI(dashboardPage(#skin = "black",
dashboardHeader(title = "Mapping Test", titleWidth = 350
),
dashboardSidebar(width = 350,
selectInput("selectVariable", label = h4("Select an D:"),
choices = unique(df$id)),
sliderInput("falltime","NSD Fall Slider:",
min = min, max = max, value = c(min, max)),
verbatimTextOutput("dateText"),
sliderInput("springtime","NSD Spring Slider:",
min = min, max = max, value = c(min, max)),
actionButton("submit", ("Submit"))),
dashboardBody(fluidPage(
box( plotOutput("plotlraj")),
box( leafletOutput("myMap")),
box(DT::dataTableOutput("Table"),
)
),
)
))
使用上面的代码我没有收到任何错误,但是地图加载真的很慢,而且无论滑块输入设置的日期范围如何,点总是蓝色的。
我也试过添加这个反应块,但同样,即使我更改滑块日期范围,所有点都是蓝色的
colorpal<- reactive({
if(mydat$Date >= input$falltime[1] & mydat$Date <= input$falltime [2]){
mydat[,'seasonColor']<-'#626262'
}
if(mydat$Date >= input$springtime[1] & mydat$Date <= input$springtime [2]){
mydat[,'seasonColor']<-'#BAF218
'
}
使用 quakes
以便其他人可以复制。
在 filtered_df
反应函数中,根据需要操纵 data.frame。我更喜欢使用 dplyr,但我显示的是 base R。
req()
用于确保这些输入具有值。
传单实例化中不需要addCircles()
。一旦 filtered_df()
准备就绪,observe
反应式将负责显示圆圈,之后每次更改时。
为简洁起见,仅显示服务器代码。
output$myMap <- renderLeaflet({
leaflet() %>%
addTiles()
})
filtered_df <- reactive({
req(input$depth_slider,
input$mag_slider)
filtered_df <- quakes[quakes$depth <= input$depth_slider,]
filtered_df[filtered_df$mag <= input$mag_slider, 'Strength'] <- 'Weak'
filtered_df[filtered_df$mag > input$mag_slider, 'Strength'] <- 'Strong'
return(filtered_df)
})
observe({
filtered_df <- filtered_df()
pal <- colorFactor(c('Green', 'Red'), domain = filtered_df$Strength)
leafletProxy('myMap') %>%
clearGroup('myMarkers') %>%
clearControls() %>%
addCircles(
data = filtered_df,
lng = ~long,
lat = ~lat,
group = 'myMarkers',
color = ~pal(Strength)
) %>%
addLegend(
pal = pal,
values = filtered_df$Strength
)
})