我想從一個過濾器能組數據中有光澤的應用程序繪製使用ggvis
堆疊直方圖生成錯誤。使用ggvis layer_histogram在光澤應用程式空data.frame
當過濾器返回一個空data.frame
,我想有顯示一個空的陰謀。
預期與「非堆疊」直方圖以下工作:
server <- function(input, output, session) {
library(shiny)
library(ggvis)
library(dplyr)
data(diamonds, package = "ggplot2")
diamonds_sub <- reactive({
d <- diamonds
if (input$CLARITY != "All") {
d <- d %>% filter(clarity == input$CLARITY)
}
d <- as.data.frame(d)
d
})
hist_standard <- reactive({
diamonds_sub %>%
filter(cut == "Ideal") %>%
ggvis(x=~price) %>%
layer_histograms()
})
hist_standard %>% bind_shiny("hist_standard")
}
ui <- shinyUI(
fluidPage(
titlePanel("Histogram test")
,sidebarLayout(
sidebarPanel(
selectInput("CLARITY", "Clarity"
,c("All", "I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF"
,"Non-Existent Clarity")
)
)
,mainPanel(ggvisOutput("hist_standard"))
)
)
)
shinyApp(ui = ui, server = server)
當我在應用程序中選擇「不存在的清晰度」,我得到以下結果:
我的目標是讓這種行爲在疊加柱狀圖用下面的代碼:
server <- function(input, output, session) {
library(shiny)
library(ggvis)
library(dplyr)
data(diamonds, package = "ggplot2")
diamonds_sub <- reactive({
d <- diamonds
if (input$CLARITY != "All") {
d <- d %>% filter(clarity == input$CLARITY)
}
d <- as.data.frame(d)
d
})
hist_stacked <- reactive({
diamonds_sub %>%
filter(cut == "Ideal") %>%
ggvis(x=~price, prop("fill", ~color)) %>%
group_by(color) %>%
layer_histograms()
})
hist_stacked %>% bind_shiny("hist_stacked")
}
ui <- shinyUI(
fluidPage(
titlePanel("Histogram test")
,sidebarLayout(
sidebarPanel(
selectInput("CLARITY", "Clarity"
,c("All", "I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF"
,"Non-Existent Clarity")
)
)
,mainPanel(ggvisOutput("hist_stacked"))
)
)
)
shinyApp(ui = ui, server = server)
雖然該應用程序將運行寫的,當我嘗試在「堆疊」版本選擇「不存在的清晰度」,我有以下錯誤應用程序崩潰和警告消息:
Listening on http://127.0.0.1:3062
Guessing width = 500 # range/38
Error: Length of logical index vector must be 1 or 10, got: 0
Error: no applicable method for 'compute_stack' applied to an object of class "function"
Warning: Error in eval: invalid 'envir' argument of type 'closure'
Stack trace (innermost first):
124: eval
123: prop_value.prop_variable
122: prop_value
121: data_range
120: <reactive>
109: x
108: value.reactive
107: FUN
106: lapply
105: values
104: drop_nulls
103: concat
102: data_range
101: <reactive>
90: old_domain
89: expand_range
88: <reactive>
77: x
76: value.reactive
75: value
74: data.frame
73: <reactive>
62: data_reactive
61: as.vega
60: session$sendCustomMessage
59: observerFunc
4: <Anonymous>
3: do.call
2: print.shiny.appobj
1: <Promise>
Warning: Error in eval: invalid 'envir' argument of type 'closure'
Stack trace (innermost first):
124: eval
123: prop_value.prop_variable
122: prop_value
121: data_range
120: <reactive>
109: x
108: value.reactive
107: FUN
106: lapply
105: values
104: drop_nulls
103: concat
102: data_range
101: <reactive>
90: old_domain
89: expand_range
88: <reactive>
77: x
76: value.reactive
75: value
74: data.frame
73: <reactive>
62: data_reactive
61: as.vega
60: session$sendCustomMessage
59: observerFunc
4: <Anonymous>
3: do.call
2: print.shiny.appobj
1: <Promise>
Warning: Error in UseMethod: no applicable method for 'apply_props' applied to an object of class "function"
Stack trace (innermost first):
74: apply_props
73: <reactive>
62: data_reactive
61: as.vega
60: session$sendCustomMessage
59: observerFunc
4: <Anonymous>
3: do.call
2: print.shiny.appobj
1: <Promise>
Warning: Error in eval: invalid 'envir' argument of type 'closure'
Stack trace (innermost first):
111: eval
110: prop_value.prop_variable
109: prop_value
108: data_range
107: <reactive>
96: x
95: value.reactive
94: FUN
93: lapply
92: values
91: drop_nulls
90: concat
89: data_range
88: <reactive>
77: x
76: value.reactive
75: value
74: data.frame
73: <reactive>
62: data_reactive
61: as.vega
60: session$sendCustomMessage
59: observerFunc
4: <Anonymous>
3: do.call
2: print.shiny.appobj
1: <Promise>
Warning: Error in UseMethod: no applicable method for 'apply_props' applied to an object of class "function"
Stack trace (innermost first):
62: <Anonymous>
61: stop
60: data_table[[name]]
59: observerFunc
4: <Anonymous>
3: do.call
2: print.shiny.appobj
1: <Promise>
ERROR: [on_request_read] connection reset by peer
問題:如何我可以從堆疊直方圖中得到與未堆疊直方圖相同的「空白圖」行爲嗎?
@HubertL這將導致以下錯誤:在.getReactiveEnvironment'誤差()$ currentContext(): 不允許操作沒有反應活性的上下文。 (你試圖做一些只能從反應式表達或觀察者內部完成的事情。)' – joemienko