我正在开发一个使用rhandsontable的Shiny App,我想为用户提供保存和加载进度的选项。我的代码的最小示例如下:
library(shinydashboard)
library(shiny)
library(data.table)
library(rhandsontable)
library(markdown)
sidebar <- dashboardSidebar(
sidebarMenu(
menuItem("Data", tabName = "data", icon = icon("file")),
menuItem("Control", tabName = "control", icon = icon("list-alt"))
)
)
body <- dashboardBody(
tabItems(
tabItem(tabName = "data",
fluidRow(
box(title = h3("Input data manually or by importing a .csv file:"),
#fileInput("file1", "Choose CSV File:", width = '30%',
# multiple = TRUE,
# accept = c("text/csv",
# "text/comma-separated-values,text/plain",
# ".csv")),
width = 12, height = 800, rHandsontableOutput("hot"))
)
),
tabItem(tabName = "control",
fluidRow(
actionButton("save", "Save"), actionButton("load", "Load"),
box(title = h2("1. General Information"), width = '100%',
radioButtons("Type",
h4("Type:"),
choices = list("1" = "1", "2" = "2")),
radioButtons("DataExtraction",
h4("Extract information:"),
choices = list("Yes" = "Yes", "No" = "No"), selected = "No")
)
)
)
)
)
ui <- dashboardPage(
dashboardHeader(title = "Shiny"),
sidebar,
body
)
server <- function(input, output, session) {
observeEvent(input$load,{
values <<- readRDS("C:/Documents/ws1.RData")
if (exists("values")) {
lapply(names(values),
function(x) session$sendInputMessage(x, list(value = values[[x]]))
)
}
})
observeEvent(input$save,{
values <<- lapply(reactiveValuesToList(input), unclass)
saveRDS( values , file = "C:/Documents/ws1.RData")
})
filedata <- reactive({
inFile <- input$file1
if (is.null(inFile)){
data.table(Number1 = numeric(20),
Number2 = numeric(20),
Date1 = seq(from = Sys.Date(), by = "days", length.out = 20),
Date2 = seq(from = Sys.Date(), by = "days", length.out = 20))
} else{
fread(input$file1$datapath)
}
})
output$hot = renderRHandsontable({
rhandsontable(filedata()) %>%
hot_cols(columnSorting = TRUE) %>%
hot_table(highlightCol = TRUE, highlightRow = TRUE)
})
}
shinyApp(ui, server)
我遇到两个问题:
有没有人知道我做错了什么?
谢谢!