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我有一个使用ggvis（）图形的基本Shiny应用程序。该应用程序在下面给出。使用ggvis中的handle_click在Shiny中创建一个交互式过滤器
我在ggvis（）的文档中看到有一个handle_click(vis, on_click = NULL)函数可以通过。此外，on_click是一个带参数数据，位置和会话的回调函数。
我想要做的是允许用户点击图表中的一个条（每个月一个条），并设置input$monthSelect到他们点击的条的月份。如果我添加了一个工具提示，我可以创建一个函数，从该图层中的数据中提取数据，我可以参考data$x_获取该月份。
这个功能的一个例子是：
update_selection = function(data){
if(is.null(data)) return(NULL)
updateSelectInput(session
,"monthSelect"
,selected=data$x_)
}
，我把它添加到ggvis通过ggvis() %>% handle_click(update_selection(data))，但我得到一个错误Error in func() : could not find function "fun"。
我该如何制作一个反应图？
library(ggvis)
library(dplyr)
library(tidyr)
library(ReporteRs)
data = cocaine
data = within(data,
{
month[month==1] = "January"
month[month==2] = "February"
month[month==3] = "March"
month[month==4] = "April"
month[month==5] = "May"
month[month==6] = "June"
month[month==7] = "July"
month[month==8] = "August"
month[month==9] = "September"
month[month==10] = "October"
month[month==11] = "November"
month[month==12] = "December"
}
)
server = function(input, output, session){
selectedState = reactive(input$stateSelect)
plotData = reactive({
data %>%
group_by(state,month) %>%
summarise(avgPotency = mean(potency)) %>%
ungroup() %>%
spread(month,avgPotency) %>%
mutate(January = ifelse(is.na(January),0,January)
,February = ifelse(is.na(February),0,February)
,March = ifelse(is.na(March),0,March)
,April = ifelse(is.na(April),0,April)
,May = ifelse(is.na(May),0,May)
,June = ifelse(is.na(June),0,June)
,July = ifelse(is.na(July),0,July)
,August = ifelse(is.na(August),0,August)
,September = ifelse(is.na(September),0,September)
,October = ifelse(is.na(October),0,October)
,November = ifelse(is.na(November),0,November)
,December = ifelse(is.na(December),0,December)
) %>%
filter(state==selectedState()) %>%
gather("month","AvgPotency",-state)
})
stateVis = reactive({
plotData() %>%
ggvis(x=~month,y=~AvgPotency)
})
stateVis %>% bind_shiny("cocaineCounts")
selectedMonth = reactive(input$monthSelect)
tableData = reactive({
data %>%
filter(state==selectedState() & month==selectedMonth())
})
output$cocaineTable = renderUI({
MyFTable = FlexTable(tableData(),
header.cell.props = cellProperties(padding = 2),
body.cell.props = cellProperties(padding = 2))
return(HTML(as.html(MyFTable)))
})
}
ui = shinyUI(
fluidPage(
column(6,
selectInput("stateSelect",label="Select a State:",choices = unique(data$state),selected=1)
,selectInput("monthSelect",label="Select a Month:",choices = c('January','February','March','April','May','June','July','August','September','October','November','December'),selected=1)
,ggvisOutput("cocaineCounts")
)
,column(6,
uiOutput(outputId = "cocaineTable")
)
)
)
shinyApp(ui = ui, server = server)