运行 Render.ui 仅在文件上传后的逻辑
Run Render.ui logic only after file has been uploaded
我正在尝试 运行 一个带有多个脚本函数的闪亮应用程序。我有一个侧边栏 select 输入,它访问一个变量,该变量仅在上传文件并处理“db_prep”R 脚本后创建。 “db_prep”R 脚本还结合了首先加载的“full_db”的元素。我曾尝试使用 renderUI 来解决这个问题,但我无法确定哪里出错了。理想情况下,我想 运行 应用程序,上传我的文件,然后 运行 我在上传文件上的函数,然后 full_db 在下一个箱线图选项卡中生成输出。
这里是 ui:
#compiled db
full_db <- read.csv("./full_db.csv", header = TRUE, sep = ",", stringsAsFactors = FALSE)
# ui ----
ui <- fluidPage(
theme = shinytheme("superhero"),
titlePanel("Title"),
tabsetPanel(type = "tabs",
tabPanel("File Upload",
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Select a file ----
fileInput("file1", "Choose CSV File",
multiple = FALSE,
accept = c("text/csv",
"text/comma-separated-values,text/plain",
".csv")),
# Horizontal line ----
tags$hr(),
# Input: Checkbox if file has header ----
checkboxInput("header", "Header", TRUE),
# Input: Select separator ----
radioButtons("sep", "Separator",
choices = c(Comma = ",",
Semicolon = ";",
Tab = "\t"),
selected = ","),
# Input: Select quotes ----
radioButtons("quote", "Quote",
choices = c(None = "",
"Double Quote" = '"',
"Single Quote" = "'"),
selected = '"'),
# Horizontal line ----
tags$hr(),
# Input: Select number of rows to display ----
radioButtons("disp", "Display",
choices = c(Head = "head",
All = "all"),
selected = "head")
),
# Main panel for displaying outputs ----
mainPanel(
# Output: Data file ----
tableOutput("contents")
)
)
),
uiOutput("moreControls"),
# Main panel for displaying outputs ----
mainPanel(
h1("Actions"),
plotOutput("plot", width = "100%"))
))
服务器:
# server ----
# Define server logic to plot various variables against
server <- function(input, output, session) {
#server logic for file upload tab
output$contents <- renderTable({
# input$file1 will be NULL initially. After the user selects
# and uploads a file, head of that data file by default,
# or all rows if selected, will be shown.
req(input$file1)
# when reading semicolon separated files,
# having a comma separator causes `read.csv` to error
tryCatch(
{
df_x <- read.csv(input$file1$datapath,
header = input$header,
sep = input$sep,
quote = input$quote)
if(is.null(input$file1)){
return(NULL)
}
},
error = function(e) {
# return a safeError if a parsing error occurs
stop(safeError(e))
}
)
if(input$disp == "head") {
return(head(df_x))
}
else {
return(df_x)
}
})
#server logic for boxplot tab
#required scripts & functions
source("db_prep.R")
source("box_75_test.R")
source("box_80_test.R")
source("box_85_test.R")
source("box_90_test.R")
source("box_95_test.R")
output$moreControls <- renderUI({
if(is.null(input$file1())) return()
tabPanel("Boxplot",
sidebarPanel("output.fileUploaded",
selectInput("variable", "Action:", unique(qc$Action)),
sliderInput("quantile", "Quantile Range:",
min = 75, max = 95, value = c(85), step = 5
)
))
})
# reprex ----
s_75 <- function(var) box_75_test(var)
s_80 <- function(var) box_80_test(var)
s_85 <- function(var) box_85_test(var)
s_90 <- function(var) box_90_test(var)
s_95 <- function(var) box_95_test(var)
fn <- reactive(get(paste0("s_", input$quantile)))
output$plot <- renderPlot(fn()(input$variable), height = 800, width = 800)
# ^^^ note the reactive value goes fn()(var)
}
shinyApp(ui, server)
我遇到的问题是由于调用源代码也依赖于只能在上传 csv 文件后构建的数据框的创建。最初,我只能在 shiny 会话结束后创建一个数据框作为对象,但我能够通过将源文件和函数包装在 observeEvent 处理程序中来解决这个问题,如下所示:
observeEvent(input$file1, {
req(df_x)
source("db_prep.R")
# reprex ----
s_75 <- function(var) box_75(var)
s_80 <- function(var) box_80(var)
s_85 <- function(var) box_85(var)
s_90 <- function(var) box_90(var)
s_95 <- function(var) box_95(var)
fn <- reactive(get(paste0("s_", input$quantile)))
output$plot <- renderPlot(fn()(input$variable), height = 800, width = 800)
可能有更优雅的方法来实现这一点,但它确实有效。
我正在尝试 运行 一个带有多个脚本函数的闪亮应用程序。我有一个侧边栏 select 输入,它访问一个变量,该变量仅在上传文件并处理“db_prep”R 脚本后创建。 “db_prep”R 脚本还结合了首先加载的“full_db”的元素。我曾尝试使用 renderUI 来解决这个问题,但我无法确定哪里出错了。理想情况下,我想 运行 应用程序,上传我的文件,然后 运行 我在上传文件上的函数,然后 full_db 在下一个箱线图选项卡中生成输出。
这里是 ui:
#compiled db
full_db <- read.csv("./full_db.csv", header = TRUE, sep = ",", stringsAsFactors = FALSE)
# ui ----
ui <- fluidPage(
theme = shinytheme("superhero"),
titlePanel("Title"),
tabsetPanel(type = "tabs",
tabPanel("File Upload",
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
# Input: Select a file ----
fileInput("file1", "Choose CSV File",
multiple = FALSE,
accept = c("text/csv",
"text/comma-separated-values,text/plain",
".csv")),
# Horizontal line ----
tags$hr(),
# Input: Checkbox if file has header ----
checkboxInput("header", "Header", TRUE),
# Input: Select separator ----
radioButtons("sep", "Separator",
choices = c(Comma = ",",
Semicolon = ";",
Tab = "\t"),
selected = ","),
# Input: Select quotes ----
radioButtons("quote", "Quote",
choices = c(None = "",
"Double Quote" = '"',
"Single Quote" = "'"),
selected = '"'),
# Horizontal line ----
tags$hr(),
# Input: Select number of rows to display ----
radioButtons("disp", "Display",
choices = c(Head = "head",
All = "all"),
selected = "head")
),
# Main panel for displaying outputs ----
mainPanel(
# Output: Data file ----
tableOutput("contents")
)
)
),
uiOutput("moreControls"),
# Main panel for displaying outputs ----
mainPanel(
h1("Actions"),
plotOutput("plot", width = "100%"))
))
服务器:
# server ----
# Define server logic to plot various variables against
server <- function(input, output, session) {
#server logic for file upload tab
output$contents <- renderTable({
# input$file1 will be NULL initially. After the user selects
# and uploads a file, head of that data file by default,
# or all rows if selected, will be shown.
req(input$file1)
# when reading semicolon separated files,
# having a comma separator causes `read.csv` to error
tryCatch(
{
df_x <- read.csv(input$file1$datapath,
header = input$header,
sep = input$sep,
quote = input$quote)
if(is.null(input$file1)){
return(NULL)
}
},
error = function(e) {
# return a safeError if a parsing error occurs
stop(safeError(e))
}
)
if(input$disp == "head") {
return(head(df_x))
}
else {
return(df_x)
}
})
#server logic for boxplot tab
#required scripts & functions
source("db_prep.R")
source("box_75_test.R")
source("box_80_test.R")
source("box_85_test.R")
source("box_90_test.R")
source("box_95_test.R")
output$moreControls <- renderUI({
if(is.null(input$file1())) return()
tabPanel("Boxplot",
sidebarPanel("output.fileUploaded",
selectInput("variable", "Action:", unique(qc$Action)),
sliderInput("quantile", "Quantile Range:",
min = 75, max = 95, value = c(85), step = 5
)
))
})
# reprex ----
s_75 <- function(var) box_75_test(var)
s_80 <- function(var) box_80_test(var)
s_85 <- function(var) box_85_test(var)
s_90 <- function(var) box_90_test(var)
s_95 <- function(var) box_95_test(var)
fn <- reactive(get(paste0("s_", input$quantile)))
output$plot <- renderPlot(fn()(input$variable), height = 800, width = 800)
# ^^^ note the reactive value goes fn()(var)
}
shinyApp(ui, server)
我遇到的问题是由于调用源代码也依赖于只能在上传 csv 文件后构建的数据框的创建。最初,我只能在 shiny 会话结束后创建一个数据框作为对象,但我能够通过将源文件和函数包装在 observeEvent 处理程序中来解决这个问题,如下所示:
observeEvent(input$file1, {
req(df_x)
source("db_prep.R")
# reprex ----
s_75 <- function(var) box_75(var)
s_80 <- function(var) box_80(var)
s_85 <- function(var) box_85(var)
s_90 <- function(var) box_90(var)
s_95 <- function(var) box_95(var)
fn <- reactive(get(paste0("s_", input$quantile)))
output$plot <- renderPlot(fn()(input$variable), height = 800, width = 800)
可能有更优雅的方法来实现这一点,但它确实有效。