系统是审计样本选择系统,我使用RStudio开发系统。系统行为如下:
这是没有放射线按钮功能的“低风险”代码:
library(shiny)
library(xlsx)
library(xlsxjars)
library(rJava)
library(pdftools)
library(tabulizer)
ui <- fluidPage(
titlePanel("Audit Sample Selection System"),
sidebarLayout(
sidebarPanel(
fileInput("file1", "Choose file", accept = c(".xlsx", ".pdf")),
radioButtons("select", "Level of Risk", choices=list("Low Risk" = "low","High Risk" = "high")),
actionButton("submit", "Submit")
),
mainPanel(
tableOutput("contents")
)
)
)
server <- function(input, output){
output$contents <- renderTable({
input$submit
isolate({
inFile <- input$file1
if (is.null(inFile[1])){
return(NULL)
} else if (grepl("*.xlsx",inFile[1]) == TRUE){
file.rename(inFile$datapath, paste(inFile$datapath, ".xlsx", sep = ""))
wb <- read.xlsx(paste(inFile$datapath, ".xlsx", sep = ""), 1)
nrow(wb) -> rows
if (rows == 1) {
outdf <- wb[sample(rows, 1), ]
} else
if (rows >= 2 & rows <= 4) {
outdf <- wb[sample(rows, 1), ]
} else
if (rows >= 5 & rows <= 12) {
outdf <- wb[sample(rows, 2), ]
} else
if (rows >= 13 & rows <= 52) {
outdf <- wb[sample(rows, 5), ]
} else
if (rows >= 53 & rows <= 365) {
outdf <- wb[sample(rows, 15), ]
} else
if (rows > 365) {
outdf <- wb[sample(rows, 25), ]
}
outdf
} else if (grepl("*.pdf",inFile[1]) == TRUE){
outtable <- extract_tables(inFile$datapath)
outtable[[1]] <- outtable[[1]][-c(1,1),] # Remove header from the table on the first page
df <- do.call(rbind, outtable) # Turn matrix into data frame
nrow(df) -> rows
if (rows == 1) {
outdf <- df[sample(rows, 1), ]
} else
if (rows >= 2 & rows <= 4) {
outdf <- df[sample(rows, 1), ]
} else
if (rows >= 5 & rows <= 12) {
outdf <- df[sample(rows, 2), ]
} else
if (rows >= 13 & rows <= 52) {
outdf <- df[sample(rows, 5), ]
} else
if (rows >= 53 & rows <= 365) {
outdf <- df[sample(rows, 15), ]
} else
if (rows > 365) {
outdf <- df[sample(rows, 25), ]
}
outdf
}
})
})
}
shinyApp(ui = ui, server = server)
这是为“高风险”选择审计样本的另一段代码:
inFile <- input$file1
if (is.null(inFile[1])){
return(NULL)
} else if (grepl("*.xlsx",inFile[1]) == TRUE){
file.rename(inFile$datapath, paste(inFile$datapath, ".xlsx", sep = ""))
wb <- read.xlsx(paste(inFile$datapath, ".xlsx", sep = ""), 1)
nrow(wb) -> rows
if (rows == 1) {
outdf <- wb[sample(rows, 1), ]
} else
if (rows >= 2 & rows <= 4) {
outdf <- wb[sample(rows, 2), ]
} else
if (rows >= 5 & rows <= 12) {
outdf <- wb[sample(rows, 3), ]
} else
if (rows >= 13 & rows <= 52) {
outdf <- wb[sample(rows, 8), ]
} else
if (rows >= 53 & rows <= 365) {
outdf <- wb[sample(rows, 25), ]
} else
if (rows > 365) {
outdf <- wb[sample(rows, 40), ]
}
outdf
} else if (grepl("*.pdf",inFile[1]) == TRUE){
outtable <- extract_tables(inFile$datapath)
outtable[[1]] <- outtable[[1]][-c(1,1),] # Remove header from the table on the first page
df <- do.call(rbind, outtable) # Turn matrix into data frame
nrow(df) -> rows
if (rows == 1) {
outdf <- df[sample(rows, 1), ]
} else
if (rows >= 2 & rows <= 4) {
outdf <- df[sample(rows, 2), ]
} else
if (rows >= 5 & rows <= 12) {
outdf <- df[sample(rows, 3), ]
} else
if (rows >= 13 & rows <= 52) {
outdf <- df[sample(rows, 8), ]
} else
if (rows >= 53 & rows <= 365) {
outdf <- df[sample(rows, 25), ]
} else
if (rows > 365) {
outdf <- df[sample(rows, 40), ]
}
outdf
}
我的问题是我不知道如何使无线电按钮功能化,以便在“低风险”或“高风险”之间进行选择并点击“提交”按钮后,将相应地选择数量审核样本。 / p>
答案 0 :(得分:3)
用相关的代码替换我的评论。您可以按return(outdf)
library(shiny)
library(xlsx)
library(xlsxjars)
library(rJava)
library(pdftools)
library(tabulizer)
ui <- fluidPage(
titlePanel("Audit Sample Selection System"),
sidebarLayout(
sidebarPanel(
fileInput("file1", "Choose file", accept = c(".xlsx", ".pdf")),
radioButtons("select", "Level of Risk", choices=list("Low Risk" = "low","High Risk" = "high")),
actionButton("submit", "Submit")
),
mainPanel(
tableOutput("contents")
)
)
)
server <- function(input, output){
mydf <- eventReactive(input$submit, {
req(input$select)
req(input$file1)
if (grepl("*.xlsx",inFile[1]) == TRUE){
file.rename(inFile$datapath, paste(inFile$datapath, ".xlsx", sep = ""))
wb <- read.xlsx(paste(inFile$datapath, ".xlsx", sep = ""), 1)
nrow(wb) -> rows
if (input$select == "low") {
# Create here your sample for low risk (xlsx)
} else {
# Create here your sample for high risk (xlsx)
}
} else if (grepl("*.pdf",inFile[1]) == TRUE) {
outtable <- extract_tables(inFile$datapath)
outtable[[1]] <- outtable[[1]][-c(1,1),] # Remove header from the table on the first page
df <- do.call(rbind, outtable) # Turn matrix into data frame
nrow(df) -> rows
if (input$select == "low") {
# Create here your sample for low risk (pdf)
} else {
# Create here your sample for high risk (pdf)
}
} else {
NULL
}
})
output$contents <- renderTable({
mydf()
})
}
shinyApp(ui = ui, server = server)
答案 1 :(得分:1)
我正准备写一个例子,当我完成时,qfazille已经回答了。虽然qfazille的回答更加详细,但我给了你一个例子,所以无论如何我发布了它。
library(shiny)
ui <- fluidPage(
titlePanel("Audit Sample Selection System"),
sidebarLayout(
sidebarPanel(
fileInput("file1", "Choose file", accept = c(".xlsx", ".pdf")),
radioButtons("select", "Level of Risk", choices=list("Low Risk" = "low","High Risk" = "high")),
actionButton("submit", "Submit")
),
mainPanel(
htmlOutput("contents") # change output function depending on type
)
)
)
server <- function(input, output){
out<-eventReactive(input$submit,{
#validate(need(!is.null(input$file),"please choose a file"))
if (input$select=='low') {
showout<-"dosomething" # replace this with your functions for 'low'
}
else if (input$select=='high') {
showout<-"dosomethingelse" # replace this with your functions for 'high'
}
showout
})
output$contents <- renderText({ # change render depending on type
out()
})
}
shinyApp(ui = ui, server = server)