R 反应式读取和呈现形状文件
我的目的是通过Shiny+传单渲染反应贴图:我想使用两个重叠层confini.comuni.WGS84和confini.asl.WGS84,在这两个层上绘制反应层 根据值'inputId=Year.map',服务器读取层'zone.WGS84''layer=paste0 zone,anno.map',EX zone_2015,并根据通过'inputId=Physical.map'选择的数据框SIST_NERV、MESOT、TUM_RESP中的一个字段的值为多边形着色 shapefiles zone_2000.shp等。。存储在App/shapes/zone中,shapefile文件rt.confini.comunali.shp和rt.confini.regionali.shp存储在App/shapes/originali中 应用程序和文件为: 与ShapeFile zone_2016相关的data.frame为:R 反应式读取和呈现形状文件,r,shiny,leaflet,reactive-programming,rgdal,R,Shiny,Leaflet,Reactive Programming,Rgdal,我的目的是通过Shiny+传单渲染反应贴图:我想使用两个重叠层confini.comuni.WGS84和confini.asl.WGS84,在这两个层上绘制反应层 根据值'inputId=Year.map',服务器读取层'zone.WGS84''layer=paste0 zone,anno.map',EX zone_2015,并根据通过'inputId=Physical.map'选择的数据框SIST_NERV、MESOT、TUM_RESP中的一个字段的值为多边形着色 shapefiles zon
EXASLNOME Anno SIST_NERV SIST_NERVp MESOT MESOTp TUM_RESP TUM_RESPp
Az. USL 1 di Massa Carrara 2016 43 41 1 1 4 4
Az. USL 2 di Lucca 2016 45 45 11 10 3 3
Az. USL 3 di Pistoia 2016 26 21 13 13 5 5
Az. USL 4 di Prato 2016 6 6 8 8 NA NA
Az. USL 5 di Pisa 2016 155 146 3 3 2 2
Az. USL 6 di Livorno 2016 137 136 17 17 20 18
Az. USL 7 di Siena 2016 29 24 1 1 NA NA
Az. USL 8 di Arezzo 2016 31 29 3 3 2 2
Az. USL 9 di Grosseto 2016 35 34 2 2 1 1
Az. USL 10 di Firenze 2016 34 33 24 13 11 4
Az. USL 11 di Empoli 2016 30 29 2 2 20 20
Az. USL 12 di Viareggio 2016 130 129 7 7 3 3
接下来,传单必须在data.frame的数据“EXASLNOME”和“pat.map”上创建一个反应性标签。
最后,必须通过发送到输出$map.ASL的RenderLablet生成地图。
这将生成以下错误:
警告:域中出现错误:找不到函数域堆栈跟踪
最里面的第一个:91:colorQuantile 90:
[C:/Users/User/Downloads/Prova_mappe/App_per_Stackoverflow.r63]79:
mappa 78:func
[C:/Users/User/Downloads/Prova_mappe/App_per_Stackoverflow.r95]77:
origRenderFunc 76:输出$Mappa.ASL 1:runApp
我不能使用所有的反应性成分作为参数传递给传单功能,你能告诉我一些事情吗
require(shiny)
require(stringr)
require(shinythemes)
require(leaflet)
require(RColorBrewer)
require(rgdal)
require(rgeos)
#### UI ####
ui <- fluidPage(
theme = shinytheme("spacelab"),
titlePanel("Indice"),
navlistPanel(
tabPanel(title = "Mappe",
fluidRow(column(6, sliderInput(inputId = "Anno.map",
label = "Anno di manifestazione",
min = 2000,
max = 2016,
value = 2016,
step = 1,
ticks = FALSE,
sep = "")),
column(6, selectInput(inputId = "Patologia.map",
label = "Patologia",
choices = list("SIST_NERV", "MESOT","TUM_RESP"),
selected = "SIST_NERV",
multiple = FALSE))),
fluidRow(column(6, leafletOutput(outputId = "Mappa.ASL", height = "600px", width = "100%")))
)
)
)
#### SERVER ####
server <- function(input, output) {
# NOT REACTIVE
confini.comuni <- readOGR(dsn = "shapes/originali", layer = "rt.confini.comunali", stringsAsFactors = FALSE)
confini.comuni.WGS84 <- spTransform(confini.comuni, CRS("+proj=longlat +datum=WGS84 +no_defs"))
confini.asl <- readOGR(dsn = "shapes/originali", layer = "rt.confini.asl", stringsAsFactors = FALSE)
confini.asl.WGS84 <- spTransform(confini.asl, CRS("+proj=longlat +datum=WGS84 +no_defs"))
# REACTIVE
anno.map <- reactive({input$Anno.map})
pat.map <- reactive({input$Patologia.map})
mappa <- reactive({
zone.WGS84 <- spTransform(readOGR(dsn = "shapes/zone",
layer = paste0("zone_", anno.map()), stringsAsFactors = FALSE),
CRS("+proj=longlat +datum=WGS84 +no_defs"))
domain <- paste0("zone_", anno.map(), "@data$", pat.map())
labels.1 <- paste0("zone_", anno.map(), "@data$EXASLNOME")
labels.2 <- paste0("zone_", anno.map(), "@data$", pat.map())
labels.3 <- paste0("zone_", anno.map(), "@data$", pat.map(), "p")
pal <- colorQuantile(palette = "YlOrRd",
domain = domain(), n = 6,
na.color = "808080", alpha = FALSE, reverse = FALSE, right = FALSE)
labels <- sprintf("<strong>%s</strong><br/>%g Segnalazioni<br/> %g con nesso positivo",
labels.1(), labels.2(), labels.3()) %>%
lapply(htmltools::HTML)
leaflet(options = leafletOptions(zoomControl = FALSE, dragging = FALSE, minZoom = 7.5, maxZoom = 7.5)) %>%
addPolygons(data = confini.comuni.WGS84,
weight = 1,
opacity = 1,
color = "black") %>%
addPolygons(data = confini.asl.WGS84,
weight = 2,
opacity = 1,
color = "red") %>%
addPolygons(data = zone.WGS84(),
fillColor = ~pal(domain()),
weight = 2,
opacity = 1,
color = "white",
dashArray = "3",
fillOpacity = 0.7,
highlight = highlightOptions(weight = 5,
color = "666",
dashArray = "",
fillOpacity = 0.7,
bringToFront = TRUE),
label = labels())
})
output$Mappa.ASL <- renderLeaflet({mappa()})
}
# Run the application
shinyApp(ui = ui, server = server)
错误消息应该非常清楚。您正在使用从未分配的函数域 ColorQuantile需要域的数值,因此您必须提供一个包含数值的列。传单将根据它们产生颜色
pal <- colorQuantile(palette = "YlOrRd",
domain = dataframe$numericVariable,
n = 6,
na.color = "808080",
alpha = FALSE, reverse = FALSE,
right = FALSE)
您必须使dataframe$numericVariable适应要用于着色的data.frame列
请参见以下示例:
library(shiny)
library(leaflet)
dataframe <- data.frame(
x = runif(n = 40, 15, 18),
y = runif(n = 40, 50, 55),
numericVariable = runif(n = 40, 1, 100)
)
ui <- fluidPage(
leafletOutput("map")
)
server <- function(input, output){
output$map <- renderLeaflet({
pal <- colorQuantile(palette = "YlOrRd",
domain = dataframe$numericVariable,
n = 6,
na.color = "808080",
alpha = FALSE, reverse = FALSE,
right = FALSE)
leaflet() %>%
addTiles() %>%
addCircleMarkers(lng = ~x, lat = ~y, data=dataframe,
fillColor = pal(dataframe$numericVariabl), fillOpacity = 1)
})
}
shinyApp(ui, server)
谢谢,我试着听从你的建议:我用
map <- reactive({readOGR(dsn = "shapes/zone",
layer = paste0("zone_", anno.map()), stringsAsFactors = FALSE)})
map.df <- reactive({map() %>%
as.data.frame() %>%
select(EXASLNOME, pat.map(), pat.map.p())})
注意:map和map.df都是反应性的
pat.map是data.frame map.df的一列的名称,作为输入值input$physical.map,pat.map.p是同一data.frame的另一列的名称。
我使用数值字段map.df[,2]作为pal函数的域参数
pal <- colorQuantile(palette = "YlOrRd",
domain = map.df()[,2],
n = 6,
na.color = "808080",
alpha = FALSE,
reverse = FALSE,
right = FALSE)
我还创建了一个带有
labels <- sprintf("<strong>%s</strong> <br/> %d Segnalazioni <br/> %d con nesso positivo",
map.df()[,1], map.df()[,2], map.df()[,3]) %>%
lapply(htmltools::HTML)
这是新剧本
require(shiny)
require(stringr)
require(shinythemes)
require(leaflet)
require(RColorBrewer)
require(rgdal)
require(rgeos)
#### UI ####
ui <- fluidPage(
theme = shinytheme("spacelab"),
titlePanel("Indice"),
navlistPanel(
tabPanel(title = "Mappe",
fluidRow(column(6, sliderInput(inputId = "Anno.map",
label = "Anno di manifestazione",
min = 2000,
max = 2016,
value = 2016,
step = 1,
ticks = FALSE,
sep = "")),
column(6, selectInput(inputId = "Patologia.map",
label = "Patologia",
choices = list("SIST_NERV", "MESOT","TUM_RESP"),
selected = "SIST_NERV",
multiple = FALSE))),
fluidRow(column(6, leafletOutput(outputId = "Mappa.ASL", height = "600px", width = "100%")))
)
)
)
#### SERVER ####
server <- function(input, output) {
# NOT REACTIVE
confini.comuni <- readOGR(dsn = "shapes/originali", layer = "rt.confini.comunali", stringsAsFactors = FALSE)
confini.comuni.WGS84 <- spTransform(confini.comuni, CRS("+proj=longlat +datum=WGS84 +no_defs"))
confini.zone <- readOGR(dsn = "shapes/originali", layer = "rt.confini.exasl", stringsAsFactors = FALSE)
confini.zone.WGS84 <- spTransform(confini.zone, CRS("+proj=longlat +datum=WGS84 +no_defs"))
confini.asl <- readOGR(dsn = "shapes/originali", layer = "rt.confini.asl", stringsAsFactors = FALSE)
confini.asl.WGS84 <- spTransform(confini.asl, CRS("+proj=longlat +datum=WGS84 +no_defs"))
mappa.base <- leaflet(options = leafletOptions(zoomControl = FALSE,
dragging = FALSE,
minZoom = 7.5,
maxZoom = 7.5)) %>%
addPolygons(data = confini.comuni.WGS84,
weight = 1,
opacity = 1,
color = "black") %>%
addPolygons(data = confini.zone.WGS84,
weight = 2,
opacity = 1,
color = "black")
# REACTIVE
anno.map <- reactive({input$Anno.map})
pat.map <- reactive({input$Patologia.map})
pat.map.p <- reactive({paste0(pat.map(), "p")})
map <- reactive({spTransform(readOGR(dsn = "shapes/zone",
layer = paste0("zone_", anno.map()), stringsAsFactors = FALSE),
CRS("+proj=longlat +datum=WGS84 +no_defs"))})
map.df <- reactive({map() %>%
as.data.frame() %>%
select(EXASLNOME, pat.map(), pat.map.p())})
mappa <- reactive({
pal <- colorQuantile(palette = "YlOrRd",
domain = map.df()[,2],
n = 6,
na.color = "808080",
alpha = FALSE,
reverse = FALSE,
right = FALSE)
labels <- sprintf("<strong>%s</strong> <br/> %d Segnalazioni <br/> %d con nesso positivo",
map.df()[,1], map.df()[,2], map.df()[,3]) %>%
lapply(htmltools::HTML)
leafletProxy(mapId = "mappa.base", data = map()) %>%
addPolygons(fillColor = ~pal(map.df()[,2]),
weight = 2,
opacity = 1,
color = "white",
dashArray = "3",
fillOpacity = 0.7,
highlight = highlightOptions(weight = 5,
color = "666",
dashArray = "",
fillOpacity = 0.7,
bringToFront = TRUE),
label = labels()
)
})
output$Mappa.ASL <- renderLeaflet({mappa()})
}
# Run the application
shinyApp(ui = ui, server = server)
启动应用程序时,标签似乎有问题
> runApp('App')
Listening on http://127.0.0.1:3307
OGR data source with driver: ESRI Shapefile
Source: "shapes/originali", layer: "rt.confini.comunali"
with 274 features
It has 11 fields
OGR data source with driver: ESRI Shapefile
Source: "shapes/originali", layer: "rt.confini.exasl"
with 12 features
It has 2 fields
OGR data source with driver: ESRI Shapefile
Source: "shapes/originali", layer: "rt.confini.asl"
with 3 features
It has 1 fields
OGR data source with driver: ESRI Shapefile
Source: "shapes/zone", layer: "zone_2016"
with 12 features
It has 40 fields
Warning: Error in labels.default: argument "object" is missing, with no default
Stack trace (innermost first):
108: labels.default
107: labels
106: safeLabel
105: evalAll
104: evalFormula
103: invokeMethod
102: eval
101: eval
100: %>%
99: addPolygons
98: function_list[[k]]
97: withVisible
96: freduce
95: _fseq
94: eval
93: eval
92: withVisible
91: %>%
90: <reactive:mappa> [S:\ProgettiR\ReportMalprof_ShinyApp\App/app.R#86]
79: mappa
78: func [S:\ProgettiR\ReportMalprof_ShinyApp\App/app.R#103]
77: origRenderFunc
76: output$Mappa.ASL
1: runApp
代码中有几个错误,丢失的标签只是一个小问题 首先,您可以将所有非反应性值放在服务器函数之外,也许您应该将confini.*shapefile保存到RDS文件或DB中,然后从那里加载它们。我想这会加速你的应用程序 传单打印从未显示,因为您将对象mappa渲染为输出ID=mappa.ASL。不过,被动贴图PA不会创建贴图,它不会返回贴图或任何对象,因此您应该将被动贴图更改为观察者。Proxy只是在您的案例mappa.base中的原始地图上添加了一些内容,而您从未在UI中使用过这些内容 您的错误来自在addPolygons中调用labels=labels,就好像labels是一个反应对象一样,但您在相同的反应环境中定义了它,因此您在没有括号的情况下调用它,如: 标签=标签 而不是从以下各项中生成无功值:
anno.map <- reactive({input$Anno.map})
pat.map <- reactive({input$Patologia.map})
pat.map.p <- reactive({paste0(pat.map(), "p")})
我也不会使用反应式映射,它总是从磁盘读取一个shapefile并立即重新投影它。你能不能把它们合并到一个shapefile中,然后从中过滤并预先重新投影它们,这样你就不必每次调用应用程序时都这样做
下面的应用程序应该可以工作。至少有一点,因为你会在像这样的colorQuantile函数中运行错误,因为数据集中有NA值,例如2009-2006年的“SIST_NERV”
警告:剪切中出错。默认值:“断开”不是唯一的
您可以将colorQuantile更改为colorBin,并删除n=6参数
require(shiny)
require(stringr)
require(shinythemes)
require(leaflet)
require(RColorBrewer)
require(rgdal)
require(rgeos)
# NOT REACTIVE
confini.comuni <- readOGR(dsn = "shapes/originali", layer = "rt.confini.comunali", stringsAsFactors = FALSE)
confini.comuni.WGS84 <- spTransform(confini.comuni, CRS("+proj=longlat +datum=WGS84 +no_defs"))
confini.zone <- readOGR(dsn = "shapes/originali", layer = "rt.confini.exasl", stringsAsFactors = FALSE)
confini.zone.WGS84 <- spTransform(confini.zone, CRS("+proj=longlat +datum=WGS84 +no_defs"))
confini.asl <- readOGR(dsn = "shapes/originali", layer = "rt.confini.asl", stringsAsFactors = FALSE)
confini.asl.WGS84 <- spTransform(confini.asl, CRS("+proj=longlat +datum=WGS84 +no_defs"))
#### UI ####
ui <- {fluidPage(
theme = shinytheme("spacelab"),
titlePanel("Indice"),
navlistPanel(
tabPanel(title = "Mappe",
fluidRow(column(6, sliderInput(inputId = "Anno.map",
label = "Anno di manifestazione",
min = 2000, max = 2016, value = 2016, step = 1,
ticks = FALSE, sep = "")),
column(6, selectInput(inputId = "Patologia.map",
label = "Patologia", choices = list("SIST_NERV", "MESOT","TUM_RESP"),
selected = "SIST_NERV", multiple = FALSE))),
fluidRow(column(6,
leafletOutput(outputId = "mappa.base", height = "600px", width = "100%")
))
)
)
)}
#### SERVER ####
server <- function(input, output) {
# REACTIVE
map <- reactive({
req(input$Anno.map)
spTransform(readOGR(dsn = "shapes/zone", layer = paste0("zone_", input$Anno.map), stringsAsFactors = FALSE),
CRS("+proj=longlat +datum=WGS84 +no_defs"))
})
output$mappa.base <- renderLeaflet({
leaflet(options = leafletOptions(zoomControl = FALSE, dragging = FALSE,
minZoom = 7.5, maxZoom = 7.5)) %>%
addTiles() %>%
addPolygons(data = confini.comuni.WGS84,
weight = 1, opacity = 1, color = "black") %>%
addPolygons(data = confini.zone.WGS84,
weight = 2, opacity = 1, color = "black")
})
map.df <- reactive({
req(input$Anno.map)
map() %>%
as.data.frame() %>%
dplyr::select(EXASLNOME, input$Patologia.map, paste0(input$Patologia.map, "p"))
})
mappa <- observe({
pal <- colorQuantile(palette = "YlOrRd", domain = map.df()[,2],
n = 6, na.color = "808080",
alpha = FALSE, reverse = FALSE,
right = FALSE)
labels <- sprintf("<strong>%s</strong> <br/> %d Segnalazioni <br/> %d con nesso positivo",
map.df()[,1], map.df()[,2], map.df()[,3]) %>% lapply(htmltools::HTML)
leafletProxy(mapId = "mappa.base", data = map()) %>%
addPolygons(fillColor = ~pal(map.df()[,2]),
weight = 2,
opacity = 1,
color = "white",
dashArray = "3",
fillOpacity = 0.7,
highlight = highlightOptions(weight = 5,
color = "666",
dashArray = "",
fillOpacity = 0.7,
bringToFront = TRUE),
label = labels
)
})
}
# Run the application
shinyApp(ui = ui, server = server)
域的错误是否已解决?如果是,你应该检查答案并问一个新问题,因为你现在有了新的错误。您的被动流程似乎不正常,而且您应该将所有不被动的全局变量放在服务器函数之外。您希望的不是labels=labels,而是labels=labels。它不是你所说的反应对象。
input$Anno.map
input$Patologia.map
paste0(pat.map(), "p")
require(shiny)
require(stringr)
require(shinythemes)
require(leaflet)
require(RColorBrewer)
require(rgdal)
require(rgeos)
# NOT REACTIVE
confini.comuni <- readOGR(dsn = "shapes/originali", layer = "rt.confini.comunali", stringsAsFactors = FALSE)
confini.comuni.WGS84 <- spTransform(confini.comuni, CRS("+proj=longlat +datum=WGS84 +no_defs"))
confini.zone <- readOGR(dsn = "shapes/originali", layer = "rt.confini.exasl", stringsAsFactors = FALSE)
confini.zone.WGS84 <- spTransform(confini.zone, CRS("+proj=longlat +datum=WGS84 +no_defs"))
confini.asl <- readOGR(dsn = "shapes/originali", layer = "rt.confini.asl", stringsAsFactors = FALSE)
confini.asl.WGS84 <- spTransform(confini.asl, CRS("+proj=longlat +datum=WGS84 +no_defs"))
#### UI ####
ui <- {fluidPage(
theme = shinytheme("spacelab"),
titlePanel("Indice"),
navlistPanel(
tabPanel(title = "Mappe",
fluidRow(column(6, sliderInput(inputId = "Anno.map",
label = "Anno di manifestazione",
min = 2000, max = 2016, value = 2016, step = 1,
ticks = FALSE, sep = "")),
column(6, selectInput(inputId = "Patologia.map",
label = "Patologia", choices = list("SIST_NERV", "MESOT","TUM_RESP"),
selected = "SIST_NERV", multiple = FALSE))),
fluidRow(column(6,
leafletOutput(outputId = "mappa.base", height = "600px", width = "100%")
))
)
)
)}
#### SERVER ####
server <- function(input, output) {
# REACTIVE
map <- reactive({
req(input$Anno.map)
spTransform(readOGR(dsn = "shapes/zone", layer = paste0("zone_", input$Anno.map), stringsAsFactors = FALSE),
CRS("+proj=longlat +datum=WGS84 +no_defs"))
})
output$mappa.base <- renderLeaflet({
leaflet(options = leafletOptions(zoomControl = FALSE, dragging = FALSE,
minZoom = 7.5, maxZoom = 7.5)) %>%
addTiles() %>%
addPolygons(data = confini.comuni.WGS84,
weight = 1, opacity = 1, color = "black") %>%
addPolygons(data = confini.zone.WGS84,
weight = 2, opacity = 1, color = "black")
})
map.df <- reactive({
req(input$Anno.map)
map() %>%
as.data.frame() %>%
dplyr::select(EXASLNOME, input$Patologia.map, paste0(input$Patologia.map, "p"))
})
mappa <- observe({
pal <- colorQuantile(palette = "YlOrRd", domain = map.df()[,2],
n = 6, na.color = "808080",
alpha = FALSE, reverse = FALSE,
right = FALSE)
labels <- sprintf("<strong>%s</strong> <br/> %d Segnalazioni <br/> %d con nesso positivo",
map.df()[,1], map.df()[,2], map.df()[,3]) %>% lapply(htmltools::HTML)
leafletProxy(mapId = "mappa.base", data = map()) %>%
addPolygons(fillColor = ~pal(map.df()[,2]),
weight = 2,
opacity = 1,
color = "white",
dashArray = "3",
fillOpacity = 0.7,
highlight = highlightOptions(weight = 5,
color = "666",
dashArray = "",
fillOpacity = 0.7,
bringToFront = TRUE),
label = labels
)
})
}
# Run the application
shinyApp(ui = ui, server = server)