Shiny lealfet上的Flexdashboard和absolute面板
是否有办法将本例()中的绝对面板包含到flexdashboard(在传单上)? 我们的想法是用一个移动面板代替边栏面板,专门用于传单输出 这里的绝对面板示例基于一个闪亮的示例(带有ui和服务器部件)Shiny lealfet上的Flexdashboard和absolute面板,shiny,panel,flexdashboard,Shiny,Panel,Flexdashboard,是否有办法将本例()中的绝对面板包含到flexdashboard(在传单上)? 我们的想法是用一个移动面板代替边栏面板,专门用于传单输出 这里的绝对面板示例基于一个闪亮的示例(带有ui和服务器部件) 库(闪亮) ui试试这个 --- title: "haha" output: flexdashboard::flex_dashboard: orientation: columns vertical_layout: fill editor_options: chunk_ou
库(闪亮)
ui试试这个
---
title: "haha"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: fill
editor_options:
chunk_output_type: console
runtime: shiny
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(flexdashboard)
library(shiny)
library(leaflet)
```
# without container-fluid
### Sites on campus
```{r}
df <- data.frame(NY = c(-74.418997, 43.257408), CA = c(-120.765285, 35.604380))
renderLeaflet(mapfunction())
```
```{r}
absolutePanel(
draggable = TRUE, top = "15%", left = "auto", right = "5%", bottom = "auto",
width = '30%', height = 'auto',
style = "background: orange; opacity: 0.9",
p(strong("some text")),
selectInput("someinput", label = "location", choices = c("NY", "CA"))
)
```
### server
```{r}
mapfunction <- reactive({
leaflet() %>%
addTiles() %>%
fitBounds(-127.44,24.05,-65.30,50.35) %>%
addMarkers(lng = df[[input$someinput]][1], lat = df[[input$someinput]][2])
})
```
# with container-fluid
```{r}
shinyApp(
fluidPage(
leafletOutput(outputId = "somemap"),
absolutePanel(
draggable = TRUE, top = "15%", left = "auto", right = "5%", bottom = "auto",
width = '30%', height = 'auto', fixed = TRUE,
style = "background: orange; opacity: 0.9",
p(strong("some text")),
selectInput("someinput", label = "location", choices = c("NY", "CA"))
)
),
server = function(input, output, session){
df <- data.frame(NY = c(-74.418997, 43.257408), CA = c(-120.765285, 35.604380))
output$somemap <- renderLeaflet({
leaflet() %>%
addTiles() %>%
fitBounds(-127.44,24.05,-65.30,50.35) %>%
addMarkers(lng = df[[input$someinput]][1], lat = df[[input$someinput]][2])
})
}
)
```
---
标题:“哈哈”
输出:
flexdashboard::flex_仪表板:
方向:列
垂直布局:填充
编辑器选项:
块输出类型:控制台
运行时间:闪亮
---
```{r设置,include=FALSE}
knitr::opts_chunk$set(echo=TRUE)
库(flexdashboard)
图书馆(闪亮)
图书馆(单张)
```
#无容器液体
###校园网站
```{r}
df%
fitBounds(-127.44,24.05,-65.30,50.35)%>%
addMarkers(lng=df[[input$someinput]][1],lat=df[[input$someinput]][2])
})
```
#使用容器流体
```{r}
shinyApp(
流动摄影(
传单输出(outputId=“somemap”),
绝对专家组(
draggable=TRUE,top=“15%”,left=“auto”,right=“5%”,bottom=“auto”,
宽度='30%',高度='auto',固定=TRUE,
style=“背景:橙色;不透明度:0.9”,
p(强(“某些文本”),
selectInput(“someinput”,label=“location”,choices=c(“NY”,“CA”))
)
),
服务器=功能(输入、输出、会话){
df%
fitBounds(-127.44,24.05,-65.30,50.35)%>%
addMarkers(lng=df[[input$someinput]][1],lat=df[[input$someinput]][2])
})
}
)
```
- 如果需要使用Shinny中的交互式组件,如XXinput,则需要在顶部指定
runtime:shinny
,否则,可以删除此行
- 我使用
reactive
作为最简单的服务器部分。如果要使用更复杂的服务器(逻辑),例如多个组件一起交互,则需要编写实际的server
函数。我建议只编写一个闪亮的应用程序,而不是flexdashboard李>
- 不幸的是,flexdash中的组件不在
容器流体
类中,使用该类可以拖动面板。可能有一种解决方法,你可以搜索它。看最后一个chunck,我插入了一个真正闪亮的应用程序,面板可以拖动。运行文档时,您应该会看到两个选项卡,观察差异。所以,如果你真的想拖动这个面板,你应该写一个“真正”闪亮的应用程序
---
title: "Waste Lands - America's forgotten nuclear legacy"
author: Philipp Ottolinger
output:
flexdashboard::flex_dashboard:
theme: journal
social: menu
source_code: embed
---
```{r setup, include = FALSE}
library(flexdashboard)
library(shiny)
library(jsonlite)
library(maptools)
library(ggplot2)
library(tidyr)
library(dplyr)
library(purrr)
library(leaflet)
library(plotly)
sites <- fromJSON(flatten=TRUE,
"https://raw.githubusercontent.com/ottlngr/2016-15/ottlngr/ottlngr/sites.json")
sites$locations <- map(sites$locations, function(x) {
if (nrow(x) == 0) {
data_frame(latitude=NA, longitude=NA, postal_code=NA, name=NA, street_address=NA)
} else {
x
}
})
sites <- unnest(sites)
sites <- sites[complete.cases(sites[,c("longitude", "latitude")]),]
sites$ratingcol <- ifelse(sites$site.rating == 0, "orange",
ifelse(sites$site.rating == 1, "green",
ifelse(sites$site.rating == 2, "red", "black")))
sites$ratingf <- factor(sites$site.rating,
levels=c(3:0),
labels=c("Remote or no potential for radioactive contamination.",
"No authority to clean up or status unclear.",
"Cleanup declared complete.",
"Cleanup in progress."))
sites$campus <- ifelse(grepl("University", sites$site.name) |
grepl("University", pattern = sites$street_address) |
grepl("Campus", sites$street_address), 1, 0)
sites$campuscol <- ifelse(sites$campus == 1, "red", "black")
```
Column {data-width=650}
-----------------------------------------------------------------------
### All sites and their current status
```{r}
leaflet() %>%
addTiles() %>%
fitBounds(-127.44,24.05,-65.30,50.35) %>%
addCircleMarkers(sites$longitude,
sites$latitude,
color = sites$ratingcol,
radius = 6,
fill = T,
fillOpacity = 0.2,
opacity = 0.6,
popup = paste(sites$site.city,
sites$site.name,
sep = "")) %>%
addLegend("bottomleft",
colors = c("orange","green", "red", "black"),
labels = c("Cleanup in progress.",
"Cleanup complete.",
"Status unclear.",
"No potential for radioactive contamination."),
opacity = 0.8)
```
Column {data-width=350}
-----------------------------------------------------------------------
### Number of sites
```{r}
sites %>%
count(ratingf) %>%
plot_ly(type = "bar",
x = ratingf,
y = n,
color = ratingf,
text = paste(n,ratingf,sep=""),
hoverinfo = "text") %>%
layout(xaxis = list(showline = F,
showticklabels = F,
fixedrange = T,
title = ""),
yaxis = list(fixedrange = T,
title = ""))
```
### Sites on campus
```{r}
leaflet() %>%
addTiles() %>%
fitBounds(-127.44,24.05,-65.30,50.35) %>%
addCircleMarkers(sites[sites$campus == 1, ]$longitude,
sites[sites$campus == 1, ]$latitude,
color = sites[sites$campus == 1, ]$campuscol,
radius = 6,
fill = T,
fillOpacity = 0.2,
opacity = 0.6,
popup = paste(sites[sites$campus == 1, ]$site.city,
sites[sites$campus == 1, ]$site.name,
sep = ""))
```
---
title: "haha"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: fill
editor_options:
chunk_output_type: console
runtime: shiny
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(flexdashboard)
library(shiny)
library(leaflet)
```
# without container-fluid
### Sites on campus
```{r}
df <- data.frame(NY = c(-74.418997, 43.257408), CA = c(-120.765285, 35.604380))
renderLeaflet(mapfunction())
```
```{r}
absolutePanel(
draggable = TRUE, top = "15%", left = "auto", right = "5%", bottom = "auto",
width = '30%', height = 'auto',
style = "background: orange; opacity: 0.9",
p(strong("some text")),
selectInput("someinput", label = "location", choices = c("NY", "CA"))
)
```
### server
```{r}
mapfunction <- reactive({
leaflet() %>%
addTiles() %>%
fitBounds(-127.44,24.05,-65.30,50.35) %>%
addMarkers(lng = df[[input$someinput]][1], lat = df[[input$someinput]][2])
})
```
# with container-fluid
```{r}
shinyApp(
fluidPage(
leafletOutput(outputId = "somemap"),
absolutePanel(
draggable = TRUE, top = "15%", left = "auto", right = "5%", bottom = "auto",
width = '30%', height = 'auto', fixed = TRUE,
style = "background: orange; opacity: 0.9",
p(strong("some text")),
selectInput("someinput", label = "location", choices = c("NY", "CA"))
)
),
server = function(input, output, session){
df <- data.frame(NY = c(-74.418997, 43.257408), CA = c(-120.765285, 35.604380))
output$somemap <- renderLeaflet({
leaflet() %>%
addTiles() %>%
fitBounds(-127.44,24.05,-65.30,50.35) %>%
addMarkers(lng = df[[input$someinput]][1], lat = df[[input$someinput]][2])
})
}
)
```