如何在所有输入重新验证后使用 debounce 仅重绘图形
How to use debounce to only redraw graph after all inputs have been revalidated
我正在努力解决去抖动问题。我试图将它插入到下面代码中看到的反应函数链中，但无济于事。我试图弄清楚如何仅在失效序列停止更新后才刷新绘图。
在哪里以及如何使用去抖动？
server:
library(shiny)
library(dplyr)
library(ggplot2)
shinyServer(function(input, output, session, clientData) {
Accident.Date <- as.Date(c("2018-06-04", "2018-06-05", "2018-06-06", "2018-06-07", "2018-06-08", "2018-06-09", "2018-06-10", "2018-06-11", "2018-06-12", "2018-06-13", "2018-06-14", "2018-06-15", "2018-06-16", "2018-06-17", "2018-06-18", "2018-07-18"))
Time.of.Kill <- as.character(c("DAWN", "DAY", "DARK", "UNKNOWN", "DUSK", "DAY", "DAY", "DAWN", "DAY", "DARK", "UNKNOWN", "DUSK", "DARK", "DUSK", "DARK", "DAY"))
Sex <- as.character(c("MALE", "MALE", "FEMALE", "MALE", "FEMALE", "FEMALE", "MALE", "MALE", "FEMALE", "FEMALE", "MALE", "FEMALE", "MALE", "FEMALE", "FEMALE", "FEMALE"))
Age <- as.character(c("ADULT", "YOUNG", "UNKNOWN", "ADULT", "UNKNOWN", "ADULT", "YOUNG", "YOUNG", "ADULT", "ADULT", "ADULT", "YOUNG", "ADULT", "YOUNG", "YOUNG", "ADULT"))
Species <- as.character(c("Deer", "Deer", "Deer", "Bear", "Deer", "Cougar", "Bear", "Beaver", "Deer", "Skunk", "Moose", "Deer", "Deer", "Elk", "Elk", "Elk"))
Year <- as.numeric(c("0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"))
data <- data.frame(Accident.Date, Time.of.Kill, Sex, Age, Species, stringsAsFactors = FALSE)
data <- data %>% mutate(Data.Set = "Current")
#A set of reactive filters. Only data that has passed all filters is passed to the map, graph, datatable etc. **Order goes datacheck > yearcheck > speccheck > sexcheck > timecheck > agecheck > indaterange
bindata <- reactive({
filter(data, Data.Set %in% input$datacheck)
})
yrdata <- reactive({
filter(bindata(), Year %in% input$yearcheck)
})
specdata <- reactive({
subset(yrdata(), Species %in% input$speccheck)
})
sexdata <- reactive({
filter(specdata(), Sex %in% input$sexcheck)
})
timedata <- reactive({
filter(sexdata(), Time.of.Kill %in% input$timecheck)
})
agedata <- reactive({
filter(timedata(), Age %in% input$agecheck)
})
#Does the date range filter. Selects min and max from the two inputs of the observed indaterange filter.
data1 <- reactive({ filter(agedata(),
Accident.Date >= input$inDateRange[[1]], #### Tried to debounce both of the final input for filtering so they will calculate after a second or so, but wasn't successful.
Accident.Date <= input$inDateRange[[2]])
})
####Also tried to debounce the reactive dataframe but it appears thats not how debounce works either.
# data1 <- reactive({data1()}) %>% debounce(1000)
#If statement for choosing between current and historical datasets. If current is selected, year is set to 0 and the selection box is hidden.
observe({ if (input$datacheck == 'Current')
updateSelectInput(session, "yearcheck", choices = c("0"), selected = c("0"))
else
updateSelectizeInput(session, "yearcheck", choices = sort(unique(bindata()$Year), decreasing = TRUE), server=TRUE)
})
observe({
req((input$datacheck == 'Historical'))
updateSelectizeInput(session, "speccheck", choices = sort(unique(yrdata()$Species)), server=TRUE)
})
#Creates the observed Species
observe({
x <- input$yearcheck
if (is.null(x))
x <- character(0)
updateSelectizeInput(session, "speccheck", choices = sort(unique(yrdata()$Species)), server=TRUE)
})
#Creates the observed Sex
observe({
x <- input$speccheck
if (is.null(x))
x <- character(0)
updateCheckboxGroupInput(session, inputId = "sexcheck",
choices = unique(specdata()$Sex),
selected = unique(specdata()$Sex),
inline = TRUE)
})
#Creates the observed Time
observe({
x <- input$sexcheck
if (is.null(x))
x <- character(0)
updateCheckboxGroupInput(session, inputId = "timecheck",
choices = unique(sexdata()$Time.of.Kill),
selected = unique(sexdata()$Time.of.Kill),
inline = TRUE)
})
#Creates the observed Age
observe({
x <- input$timecheck
if (is.null(x))
x <- character(0)
updateCheckboxGroupInput(session, inputId = "agecheck",
choices = unique(timedata()$Age),
selected = unique(timedata()$Age),
inline = TRUE)
})
#Creates the observed dates and suppresses warnings from the min max
observe({
x <- input$agecheck
if (is.null(x))
x <- character(0)
#And update the date range values to match those of the dataset
updateDateRangeInput(
session = session,
inputId = "inDateRange",
start = suppressWarnings(min(agedata()$Accident.Date)),
end = suppressWarnings(max(agedata()$Accident.Date))
)
})
output$txt <- renderText({nrow(data1())})
output$bar <- renderPlot({
P <- ggplot(data = data1(), aes(x = reorder(factor(Species),factor(Species),function(x)-length(x)), fill = factor(Species)))+
geom_bar(stat="count", width=0.7) + guides(fill=FALSE, color=FALSE) + theme_minimal()
cols <- c("Deer" = "#BAA7A2", "Bear" = "#F3923F", "Cougar" = "#FEE3C0", "Beaver" = "#FCCF31", "Skunk" = "#E6E7E8", "Moose" = "#8AC04B", "Elk" = "#D3CB8D", "Badger" = "#C1E3D8", "Bobcat" = "#EE5C30", "Buffalo" = "#7F2F8B", "Caribou" = "#C59FC8", "Coyote" = "#927E7A", "Eagle" = "#DCDDDE", "Fox" = "#32A7DC", "Gbear" = "#AD2147", "Horned" = "#F5C2D7", "Lynx" = "#91632D", "Marten" = "#808083", "Mule" = "#CBBDB9", "Muskrat" = "#A3C497", "Otter" = "#0C6F47", "Porcupine" = "#4C5FA7", "Possum" = "#A3B5DB", "Rabbit" = "#EA212E", "Raccoon" = "#BE953B", "Sheep" = "#008D82", "WhiteTailed_Deer" = "#E0D8D6", "Wolf" = "#8A5A7C")
P + scale_fill_manual(values = cols) + labs(x = "Species") + labs(y = "Total Count") +
geom_text(stat='count', aes(label=..count..), vjust=-1) + theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust=1))
})
})
ui:
navbarPage("Test", id="nav",
tabPanel("Map",
absolutePanel(id = "controls", class = "panel panel-default", fixed = TRUE,
draggable = FALSE, top = 200, left = 5, right = "auto", bottom = "auto",
width = "auto", height = "auto",
radioButtons("datacheck", label = tags$div( HTML("<b>Dataset</b>")),
choices = c("Current" = "Current", "Historical" = "Historical"),
selected = c("Current"), inline = TRUE),
conditionalPanel(condition = "input.datacheck != 'Current'",
#Only displays yearcheck for historical as there is no year column on current dataset. Current dataset has had all year values set to 0.
selectizeInput("yearcheck", label = "Select Year (Only Available for Historical)", choices = NULL, options = list(placeholder = 'Select Year:', maxOptions = 40, maxItems = 40))),
selectizeInput("speccheck", h3("Select Species:"), choices = NULL, options = list(placeholder = 'Select Species: (Max 12) ', maxOptions = 36, maxItems = 12)),
conditionalPanel(condition = "input.speccheck >= '1'",
dateRangeInput("inDateRange", "Date range input:"),
checkboxGroupInput("sexcheck", label = tags$div( HTML("<b>Sex</b><br>"))),
checkboxGroupInput("agecheck", label = tags$div( HTML("<b>Age</b><br>"))),
checkboxGroupInput("timecheck", label = tags$div( HTML("<b>Time of Accident</b><br>"))),
plotOutput("bar")
),
verbatimTextOutput("txt")
)))
这对我有用。我不得不更新一些包，它开始工作了。
data1 <- reactive({data1()}) %>% debounce(1000)
我正在努力解决去抖动问题。我试图将它插入到下面代码中看到的反应函数链中，但无济于事。我试图弄清楚如何仅在失效序列停止更新后才刷新绘图。
在哪里以及如何使用去抖动？
server:
library(shiny)
library(dplyr)
library(ggplot2)
shinyServer(function(input, output, session, clientData) {
Accident.Date <- as.Date(c("2018-06-04", "2018-06-05", "2018-06-06", "2018-06-07", "2018-06-08", "2018-06-09", "2018-06-10", "2018-06-11", "2018-06-12", "2018-06-13", "2018-06-14", "2018-06-15", "2018-06-16", "2018-06-17", "2018-06-18", "2018-07-18"))
Time.of.Kill <- as.character(c("DAWN", "DAY", "DARK", "UNKNOWN", "DUSK", "DAY", "DAY", "DAWN", "DAY", "DARK", "UNKNOWN", "DUSK", "DARK", "DUSK", "DARK", "DAY"))
Sex <- as.character(c("MALE", "MALE", "FEMALE", "MALE", "FEMALE", "FEMALE", "MALE", "MALE", "FEMALE", "FEMALE", "MALE", "FEMALE", "MALE", "FEMALE", "FEMALE", "FEMALE"))
Age <- as.character(c("ADULT", "YOUNG", "UNKNOWN", "ADULT", "UNKNOWN", "ADULT", "YOUNG", "YOUNG", "ADULT", "ADULT", "ADULT", "YOUNG", "ADULT", "YOUNG", "YOUNG", "ADULT"))
Species <- as.character(c("Deer", "Deer", "Deer", "Bear", "Deer", "Cougar", "Bear", "Beaver", "Deer", "Skunk", "Moose", "Deer", "Deer", "Elk", "Elk", "Elk"))
Year <- as.numeric(c("0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0"))
data <- data.frame(Accident.Date, Time.of.Kill, Sex, Age, Species, stringsAsFactors = FALSE)
data <- data %>% mutate(Data.Set = "Current")
#A set of reactive filters. Only data that has passed all filters is passed to the map, graph, datatable etc. **Order goes datacheck > yearcheck > speccheck > sexcheck > timecheck > agecheck > indaterange
bindata <- reactive({
filter(data, Data.Set %in% input$datacheck)
})
yrdata <- reactive({
filter(bindata(), Year %in% input$yearcheck)
})
specdata <- reactive({
subset(yrdata(), Species %in% input$speccheck)
})
sexdata <- reactive({
filter(specdata(), Sex %in% input$sexcheck)
})
timedata <- reactive({
filter(sexdata(), Time.of.Kill %in% input$timecheck)
})
agedata <- reactive({
filter(timedata(), Age %in% input$agecheck)
})
#Does the date range filter. Selects min and max from the two inputs of the observed indaterange filter.
data1 <- reactive({ filter(agedata(),
Accident.Date >= input$inDateRange[[1]], #### Tried to debounce both of the final input for filtering so they will calculate after a second or so, but wasn't successful.
Accident.Date <= input$inDateRange[[2]])
})
####Also tried to debounce the reactive dataframe but it appears thats not how debounce works either.
# data1 <- reactive({data1()}) %>% debounce(1000)
#If statement for choosing between current and historical datasets. If current is selected, year is set to 0 and the selection box is hidden.
observe({ if (input$datacheck == 'Current')
updateSelectInput(session, "yearcheck", choices = c("0"), selected = c("0"))
else
updateSelectizeInput(session, "yearcheck", choices = sort(unique(bindata()$Year), decreasing = TRUE), server=TRUE)
})
observe({
req((input$datacheck == 'Historical'))
updateSelectizeInput(session, "speccheck", choices = sort(unique(yrdata()$Species)), server=TRUE)
})
#Creates the observed Species
observe({
x <- input$yearcheck
if (is.null(x))
x <- character(0)
updateSelectizeInput(session, "speccheck", choices = sort(unique(yrdata()$Species)), server=TRUE)
})
#Creates the observed Sex
observe({
x <- input$speccheck
if (is.null(x))
x <- character(0)
updateCheckboxGroupInput(session, inputId = "sexcheck",
choices = unique(specdata()$Sex),
selected = unique(specdata()$Sex),
inline = TRUE)
})
#Creates the observed Time
observe({
x <- input$sexcheck
if (is.null(x))
x <- character(0)
updateCheckboxGroupInput(session, inputId = "timecheck",
choices = unique(sexdata()$Time.of.Kill),
selected = unique(sexdata()$Time.of.Kill),
inline = TRUE)
})
#Creates the observed Age
observe({
x <- input$timecheck
if (is.null(x))
x <- character(0)
updateCheckboxGroupInput(session, inputId = "agecheck",
choices = unique(timedata()$Age),
selected = unique(timedata()$Age),
inline = TRUE)
})
#Creates the observed dates and suppresses warnings from the min max
observe({
x <- input$agecheck
if (is.null(x))
x <- character(0)
#And update the date range values to match those of the dataset
updateDateRangeInput(
session = session,
inputId = "inDateRange",
start = suppressWarnings(min(agedata()$Accident.Date)),
end = suppressWarnings(max(agedata()$Accident.Date))
)
})
output$txt <- renderText({nrow(data1())})
output$bar <- renderPlot({
P <- ggplot(data = data1(), aes(x = reorder(factor(Species),factor(Species),function(x)-length(x)), fill = factor(Species)))+
geom_bar(stat="count", width=0.7) + guides(fill=FALSE, color=FALSE) + theme_minimal()
cols <- c("Deer" = "#BAA7A2", "Bear" = "#F3923F", "Cougar" = "#FEE3C0", "Beaver" = "#FCCF31", "Skunk" = "#E6E7E8", "Moose" = "#8AC04B", "Elk" = "#D3CB8D", "Badger" = "#C1E3D8", "Bobcat" = "#EE5C30", "Buffalo" = "#7F2F8B", "Caribou" = "#C59FC8", "Coyote" = "#927E7A", "Eagle" = "#DCDDDE", "Fox" = "#32A7DC", "Gbear" = "#AD2147", "Horned" = "#F5C2D7", "Lynx" = "#91632D", "Marten" = "#808083", "Mule" = "#CBBDB9", "Muskrat" = "#A3C497", "Otter" = "#0C6F47", "Porcupine" = "#4C5FA7", "Possum" = "#A3B5DB", "Rabbit" = "#EA212E", "Raccoon" = "#BE953B", "Sheep" = "#008D82", "WhiteTailed_Deer" = "#E0D8D6", "Wolf" = "#8A5A7C")
P + scale_fill_manual(values = cols) + labs(x = "Species") + labs(y = "Total Count") +
geom_text(stat='count', aes(label=..count..), vjust=-1) + theme(axis.text.x = element_text(angle = 45, vjust = 1, hjust=1))
})
})
ui:
navbarPage("Test", id="nav",
tabPanel("Map",
absolutePanel(id = "controls", class = "panel panel-default", fixed = TRUE,
draggable = FALSE, top = 200, left = 5, right = "auto", bottom = "auto",
width = "auto", height = "auto",
radioButtons("datacheck", label = tags$div( HTML("<b>Dataset</b>")),
choices = c("Current" = "Current", "Historical" = "Historical"),
selected = c("Current"), inline = TRUE),
conditionalPanel(condition = "input.datacheck != 'Current'",
#Only displays yearcheck for historical as there is no year column on current dataset. Current dataset has had all year values set to 0.
selectizeInput("yearcheck", label = "Select Year (Only Available for Historical)", choices = NULL, options = list(placeholder = 'Select Year:', maxOptions = 40, maxItems = 40))),
selectizeInput("speccheck", h3("Select Species:"), choices = NULL, options = list(placeholder = 'Select Species: (Max 12) ', maxOptions = 36, maxItems = 12)),
conditionalPanel(condition = "input.speccheck >= '1'",
dateRangeInput("inDateRange", "Date range input:"),
checkboxGroupInput("sexcheck", label = tags$div( HTML("<b>Sex</b><br>"))),
checkboxGroupInput("agecheck", label = tags$div( HTML("<b>Age</b><br>"))),
checkboxGroupInput("timecheck", label = tags$div( HTML("<b>Time of Accident</b><br>"))),
plotOutput("bar")
),
verbatimTextOutput("txt")
)))
这对我有用。我不得不更新一些包，它开始工作了。
data1 <- reactive({data1()}) %>% debounce(1000)