我正在尝试创建一个简单的应用程序，充当GUI来研究具有相同变量但具有不同版本和内容的不同文件。我无法在每个用户打开该应用程序的地方提供一个应用程序，而不必在他们离开的地方再次输入其参数。我希望他们能够保存他们的参数，并在他们返回应用程序时再次调出它们。
我在这里提供示例代码，但是实际应用中输入和绘图的数量要多得多。我想知道是否有解决方案来保存这些从属的输入和输出。
library(shiny)
library(pryr)
ui = shinyUI(fluidPage(
# Application title
titlePanel("Example Title"),
# Sidebar structure
sidebarLayout(
sidebarPanel(
textInput("save_file", "Save to file:", value="sample.RData"),
actionButton("save", "Save input value to file"),
uiOutput("load"),
uiOutput("file"),
uiOutput("mytype"),
uiOutput("mysubtype")
),
# Show a plot of the generated distribution
mainPanel(
tabsetPanel(id="tab",
tabPanel(
"Plot",
plotOutput("distPlot"),
checkboxInput(inputId = "density",
label = strong("Show Adjustment Factors"),
value = FALSE),
conditionalPanel(condition = "input.density == true",
sliderInput(inputId = "bandwidth",
label = "Width adjustment: ",
min = 0.5, max = 4, value = 1, step = 0.1),
radioButtons("mycolor", "Color Adjustment: ",
choices = c(Red = "red", Black = "black", Blue = "blue"),selected = "black", inline = TRUE)
)),
tabPanel("Summary",
h3(textOutput("label")),
verbatimTextOutput("summary")
)
))
)
)
)
server = function(input, output, session) {
# render a selectInput with all RData files in the specified folder
output$load <- renderUI({
choices <- list.files("/home/user/Documents/Shiny/", pattern="*.RData")
selectInput("input_file", "Select input file", choices)
})
# render a selectInput with all csv files in the specified folder so that user can choose the version
output$file <- renderUI({
choices.1 <- list.files("/home/user/Documents/Shiny/", pattern="*.csv")
selectInput("input_csv", "Select csv file", choices.1)
})
# Load a csv file and update input
data = eventReactive(input$input_csv, {
req(input$input_csv)
read.csv(paste0("/home/user/Documents/Shiny/",input$input_csv),
header = TRUE,
sep = ",")
})
#Display Type - Types may differ based on file selection
output$mytype <- renderUI({
selectInput("var1", "Select a type of drink: ", choices = levels(data()$Type))
})
#Display SubType - This would be dependent on Type Selection
output$mysubtype <- renderUI({
selectInput("var2", "Select the SubType: ", choices = as.character(data()[data()$Type==input$var1,"Subtype"]))
})
# Save input when click the button
observeEvent(input$save, {
validate(
need(input$save_file != "", message="Please enter a valid filename")
)
mycolor <- input$mycolor
mytype = input$var1
mysubtype = input$var2
density <- input$density
bandwidth <- input$bandwidth
save(bandwidth, density, mycolor, mytype, mysubtype,
file=paste0("/home/user/Documents/Shiny/", input$save_file))
choices <- list.files("/home/user/Documents/Shiny/", pattern="*.RData")
updateSelectInput(session, "input_file", choices=choices)
choices.1 <- list.files("/home/user/Documents/Shiny/", pattern="*.csv")
updateSelectInput(session, "input_csv", choices=choices.1)
})
# Load an RData file and update input
# input$var1, input$var2, input$density, input$bandwidth, input$mycolor),
observeEvent(c(input$input_file),
{
load(paste0("/home/user/Documents/Shiny/",input$input_file))
updateSelectInput(session, "var1", choices = levels(data()$Type), selected = mytype)
updateSelectInput(session, "var2", choices = as.character(data()[data()$Type==mytype,"Subtype"]), selected = mysubtype)
updateCheckboxInput(session, "density", value = density)
updateSliderInput(session, inputId = "bandwidth", value=bandwidth)
updateRadioButtons(session, "mycolor", choices = c(Red = "red", Black = "black", Blue = "blue"), selected = mycolor, inline = TRUE)
})
output$distPlot <- renderPlot({
# generate plot
x = data()[data()$Type == input$var1 & data()$Subtype == input$var2, c("Alcohol_Content","Price")]
plot(x$Alcohol_Content, x$Price, type = "l", xlab = "Alcohol content", ylab = "Price",
main = "Sample Plot",
col="red",
lwd=1.5)
if (input$density)
plot(x$Alcohol_Content, x$Price, type = "p", xlab = "Alcohol content", ylab = "Price",
main = "Sample Plot",
col=input$mycolor,
lwd=input$bandwidth)
})
output$summary <- renderText(summary(data()))
}
shinyApp(ui, server)
问题：-
对代码的任何帮助将不胜感激。
虚拟数据：-
x = data.frame(Type=rep(c("WINE"), 9), Subtype=rep(c("TABLE WINE RED", "TABLE WINE WHITE", "MONTILLA"), each=3), Alcohol_content= c(14, 11.5, 12, 11, 13.5, 11, 12.5, 12, 11.5), Price = c(30.99, 32.99, 29.99, 33.99, 36.99, 34.99, 119, 32.99, 13.99))
y = data.frame(Type=rep(c("REFRESHMENT"), 9), Subtype=rep(c("CIDER ALL", "SPIRIT", "BEER"), each=3), Alcohol_content= c(5, 5.2, 7, 5.3, 6.9, 5, 5, 6, 5), Price = c(9.99, 9.99, 8.99, 9.95, 3.49, 9.99, 12.99, 13.49, 21.99))
bcl_data1 = rbind(x, y)
write.csv(bcl_data1, "bcl_data1.csv")
每种类型下有更多子类型（葡萄酒，茶点）。我无法通过上述代码检索Subtype值，但是，当我加载Sample.RData时，我可以看到var2 =我选择的值。
我想知道如何保存这些值。
答案 0 :(得分：1)
这是您代码的有效版本。您的问题是同时使用renderUI和updateSelectInput。每次您尝试更新selectInput时，都会立即重新呈现它，以使更改不可见。 我建议在UI中渲染selectInput（我为“ var2”所做的），并仅使用updateSelectInput。 （如果您确实要继续构建自己的书签。）
最诚挚的问候
library(shiny)
library(pryr)
if(!file.exists("bcl_data1.csv")){
x = data.frame(Type=rep(c("WINE"), 9), Subtype=rep(c("TABLE WINE RED", "TABLE WINE WHITE", "MONTILLA"), each=3), Alcohol_content= c(14, 11.5, 12, 11, 13.5, 11, 12.5, 12, 11.5), Price = c(30.99, 32.99, 29.99, 33.99, 36.99, 34.99, 119, 32.99, 13.99))
y = data.frame(Type=rep(c("REFRESHMENT"), 9), Subtype=rep(c("CIDER ALL", "SPIRIT", "BEER"), each=3), Alcohol_content= c(5, 5.2, 7, 5.3, 6.9, 5, 5, 6, 5), Price = c(9.99, 9.99, 8.99, 9.95, 3.49, 9.99, 12.99, 13.49, 21.99))
bcl_data1 = rbind(x, y)
write.csv(bcl_data1, "bcl_data1.csv")
}
settings_path <- getwd()
# settings_path <- "/home/user/Documents/Shiny/"
ui = shinyUI(fluidPage(
# Application title
titlePanel("Example Title"),
# Sidebar structure
sidebarLayout(
sidebarPanel(
textInput("save_file", "Save to file:", value="sample.RData"),
actionButton("save", "Save input value to file"),
p(),
p(),
uiOutput("load"),
uiOutput("file"),
uiOutput("mytype"),
selectInput("var2", "Select the SubType: ", choices = NULL)
),
# Show a plot of the generated distribution
mainPanel(
tabsetPanel(id="tab",
tabPanel(
"Plot",
plotOutput("distPlot"),
checkboxInput(inputId = "density",
label = strong("Show Adjustment Factors"),
value = FALSE),
conditionalPanel(condition = "input.density == true",
sliderInput(inputId = "bandwidth",
label = "Width adjustment: ",
min = 0.5, max = 4, value = 1, step = 0.1),
radioButtons("mycolor", "Color Adjustment: ",
choices = c(Red = "red", Black = "black", Blue = "blue"),selected = "black", inline = TRUE)
)),
tabPanel("Summary",
h3(textOutput("label")),
verbatimTextOutput("summary")
)
))
)
)
)
server = function(input, output, session) {
# render a selectInput with all RData files in the specified folder
last_save_path <- file.path(settings_path, "last_input.backup")
if(file.exists(last_save_path)){
load(last_save_path)
if(!exists("last_save_file")){
last_save_file <- NULL
}
} else {
last_save_file <- NULL
}
if(!is.null(last_save_file)){
updateTextInput(session, "save_file", "Save to file:", value=last_save_file)
}
output$load <- renderUI({
choices <- list.files(settings_path, pattern="*.RData")
selectInput("input_file", "Select input file", choices, selected = last_save_file)
})
# render a selectInput with all csv files in the specified folder so that user can choose the version
output$file <- renderUI({
choices.1 <- list.files(settings_path, pattern="*.csv")
selectInput("input_csv", "Select csv file", choices.1)
})
# Load a csv file and update input
csv_data = eventReactive(input$input_csv, {
req(input$input_csv)
read.csv(file.path(settings_path,input$input_csv),
header = TRUE,
sep = ",")
})
#Display Type - Types may differ based on file selection
output$mytype <- renderUI({
req(csv_data())
selectInput("var1", "Select a type of drink: ", choices = unique(csv_data()$Type))
})
#Display SubType - This would be dependent on Type Selection
observeEvent(input$var1, {
req(csv_data())
req(input$var1)
updateSelectInput(session, "var2", "Select the SubType: ", choices = as.character(csv_data()[csv_data()$Type==input$var1,"Subtype"]), selected = isolate(input$var2))
})
# Save input when click the button
observeEvent(input$save, {
validate(
need(input$save_file != "", message="Please enter a valid filename")
)
last_save_file <- input$save_file
save(last_save_file, file=last_save_path)
mycolor <- input$mycolor
mytype = input$var1
mysubtype = input$var2
density <- input$density
bandwidth <- input$bandwidth
save(bandwidth, density, mycolor, mytype, mysubtype,
file=file.path(settings_path, input$save_file))
})
# Load an RData file and update input
observeEvent(input$input_file, {
req(input$input_file)
load(file.path(settings_path, input$input_file))
updateSelectInput(session, "var1", choices = unique(csv_data()$Type), selected = mytype)
updateSelectInput(session, "var2", choices = mysubtype, selected = mysubtype)
updateCheckboxInput(session, "density", value = density)
updateSliderInput(session, "bandwidth", value = bandwidth)
updateRadioButtons(session, "mycolor", choices = c(Red = "red", Black = "black", Blue = "blue"), selected = input$mycolor)
})
output$distPlot <- renderPlot({
req(csv_data())
req(input$var1)
req(input$var2)
# generate plot
x = csv_data()[csv_data()$Type == input$var1 & csv_data()$Subtype == input$var2, c("Alcohol_content", "Price")]
if(nrow(x) > 0){
x <- x[order(x$Alcohol_content), ]
plot(x$Alcohol_content, x$Price, type = "l", xlab = "Alcohol content", ylab = "Price",
main = "Sample Plot",
col="red",
lwd=1.5)
if (input$density)
plot(x$Alcohol_content, x$Price, type = "p", xlab = "Alcohol content", ylab = "Price",
main = "Sample Plot",
col=input$mycolor,
lwd=input$bandwidth)
}
})
output$summary <- renderText(summary(csv_data()))
}
shinyApp(ui, server)