我一直试图弄清楚如何让多个输入与Shiny中的一个输出对象连接。
我有一个表作为输出,我想只显示该表的特定行,具体取决于用户在文本框中输入的内容。在我的示例中,该表包含列:名称,地址,DateOfBirth,ID,下一个约会。
我根据正则表达式过滤用户的输入,效果很好,但在尝试区分DateOfBirth和NextAppointment时会崩溃,因为它们都是YYYY-MM-DD。
如何创建不会干扰第一个的新文本输入?我不能让这个工作。我是否需要使用提交按钮以外的其他内容?
我的程序现在只会根据第一个文本输入框进行搜索。第二个文本输入框未激活。这是我需要你帮助的地方。
非常感谢提前。这是我的示例应用代码:
library(shiny)
#ui.R
#--------------------------------------------------------------------
ui = shinyUI(pageWithSidebar(
headerPanel("Test App"),
sidebarPanel(
#declare 2 text inputs and submit button
textInput(inputId = "variableInput", label = "Search by Name, ID or Date of Birth"),
textInput(inputId = "NextAppt", "Search by Next Appointment"),
submitButton(text = "Submit")
),
mainPanel(
#declare text output(s)
#I don't want to have 2 table outputs
#ideally I would have 2 search boxes for 1 table
tableOutput("Variable")
#,tableOutput("NextAppt")
)
))
#server.R
#--------------------------------------------------------------------
server = shinyServer(function(input, output){
#make sample table with values. each vector represents a column
Name = c("Person1", "Person2", "Person3")
Address = c("101 E St", "102 E St", "103 E St")
DateOfBirth = c("1990-01-01", "1990-01-02", "1990-01-03")
ID = c("12345", "23456", "34567")
NextAppointment = c("2017-02-14", "2017-02-15", "2017-02-16")
df = data.frame(Name, Address, DateOfBirth, ID, NextAppointment)
#determine what the user is searching for by using regular expressions
#if the user entered something like ####-##-##, where # is any number,
#then they must have entered a date
#if the user enters #####, then it must be an ID
#otherwise, they entered a name
#search.criteria() is a vector of the rows of our dataframe to display
search.criteria <- reactive({
if(grepl("\\d{4}\\-\\d{2}\\-\\d{2}", input$variableInput)==TRUE){
which(df$DateOfBirth==input$variableInput)
} else if(grepl("\\d{5}", input$variableInput)==TRUE){
which(df$ID==input$variableInput)
} else{
which(df$Name==input$variableInput)
}
})
#create output table
output$Variable = renderTable({
df[search.criteria(), ] #use the search.critera() reactive to determine rows to display
})
})
#app.R
#--------------------------------------------------------------------
shinyApp(ui, server)
答案 0 :(得分:2)
这对你有用吗?
library(shiny)
#ui.R
#--------------------------------------------------------------------
ui = shinyUI(pageWithSidebar(
headerPanel("Test App"),
sidebarPanel(
#declare 2 text inputs and submit button
textInput(inputId = "variableInput", label = "Search by Name, ID, Date of Birth"),
textInput(inputId = "NextAppt", label = "Next Appointment"),
submitButton(text = "Submit")
),
mainPanel(
#declare text output(s)
#I don't want to have 2 table outputs
#ideally I would have 2 search boxes for 1 table
tableOutput("Variable")
#,tableOutput("NextAppt")
)
))
#server.R
#--------------------------------------------------------------------
server = shinyServer(function(input, output){
#make sample table with values. each vector represents a column
Name = c("Person1", "Person2", "Person3")
Address = c("101 E St", "102 E St", "103 E St")
DateOfBirth = c("1990-01-01", "1990-01-02", "1990-01-03")
ID = c("12345", "23456", "34567")
NextAppointment = c("2017-02-14", "2017-02-15", "2017-02-16")
df = data.frame(Name, Address, DateOfBirth, ID, NextAppointment)
#determine what the user is searching for by using regular expressions
#if the user entered something like ####-##-##, where # is any number,
#then they must have entered a date
#if the user enters #####, then it must be an ID
#otherwise, they entered a name
#search.criteria() is a vector of the rows of our dataframe to display
search.criteria <- reactive({
out <- c()
outAppt <- c()
if(grepl("\\d{4}\\-\\d{2}\\-\\d{2}", input$variableInput)==TRUE){
out <- which(df$DateOfBirth==input$variableInput)
print(out)
} else if(grepl("\\d{5}", input$variableInput)==TRUE){
out <- which(df$ID==input$variableInput)
} else{
out <- which(df$Name==input$variableInput)
}
# filter for appointment
if(grepl("\\d{4}\\-\\d{2}\\-\\d{2}", input$NextAppt)==TRUE){
outAppt <- which(df$NextAppointment==input$NextAppt)
if(length(out)){
out <- intersect(out, outAppt)
}else{
out <- outAppt
}
}
out
})
#create output table
output$Variable = renderTable({
print(search.criteria())
df[search.criteria(), ] #use the search.critera() reactive to determine rows to display
})
})
#app.R
#--------------------------------------------------------------------
shinyApp(ui, server)