我有一个闪亮的应用程序,它采用如下所示的 csv 文件:
category
action
并将其输入到数据框中以仅使用“action”过滤类别。
可复制的应用程序:
UI:
library(shiny)
shinyUI(fluidPage(
titlePanel("Actor Finder"),
sidebarLayout(
sidebarPanel(
fileInput("file","Upload Category List: Must have category as header"),
selectInput("file4", "Select Type", c("A" = "A",
"B" = "B",
"C" = "C"), selected = "A"),
numericInput("file5", "Choose cost", 1000000000),
tags$hr()),
mainPanel(
uiOutput("tb")
)
)
))
Server:
library(shiny)
library(readr)
library(dplyr)
# use the below options code if you wish to increase the file input limit, in this example file input limit is increased from 5MB to 9MB
# options(shiny.maxRequestSize = 9*1024^2)
actor <- c('Matt Damon','George Clooney','Brad Pitt', 'Clive Owen', 'Morgan Freeman', 'Edward Norton', 'Adrian Granier')
category<-c('action', 'action', 'noir', 'action', 'thriller', 'noir', 'action')
movie <- c('Oceans Eleven', 'Oceans Twelve', 'Fight Club', 'Children of Men', 'The Shawshank Redemption', 'American History X', 'Entourage')
movies <- c(21, 23, 26, 12, 90, 14, 1)
cost <- c(210000, 2300000, 260000, 120000, 90000, 140000, 10000)
Type <- c('A','B','C', 'A', 'B', 'C', 'A')
moviedata<-data.frame(actor, category, movie, movies, cost, Type)
# This reactive function will take the inputs from UI.R and use them for read.table() to read the data from the file. It returns the dataset in the form of a dataframe.
# file$datapath -> gives the path of the file
shinyServer(function(input,output){
data <- reactive({
file1 <- input$file
if(is.null(file1)){return()}
read_csv(file=file1$datapath)
})
# this reactive output contains the summary of the dataset and display the summary in table format
# this reactive output contains the summary of the dataset and display the summary in table format
output$sum <- renderTable({
if(is.null(data())){return ()}
test<-subset(moviedata, category %in% data())
test1<-filter(test, `Type`==input$file4)
test1$`BUDGET`<-input$file5
test1$CHECKING<-ifelse(test1$`BUDGET`>test1$cost,"YES", "NO")
filter(test1, CHECKING=="YES")
})
# the following renderUI is used to dynamically generate the tabsets when the file is loaded. Until the file is loaded, app will not show the tabset.
output$tb <- renderUI({
if(is.null(data()))
h5("Powered by", tags$img(src='optimatic.png'))
else
tabsetPanel(tabPanel("Summary", tableOutput("sum")))
})
}
)
我希望能够执行以下操作:
输出如下所示:
1) 将下载按钮添加到 renderTable 数据框中。假设我在 UI 中更改了新输出的过滤器,然后我希望能够下载该新输出。
2) 将 DT 包中的数据帧格式更改为数据表。
任何帮助都会很棒,谢谢!