我有被动数据react$data
,我有两个输入input$chosencolumn
,input$chosenrows
使用反应数据集,我如何能够指定我想要的数据行所在的行data[data$chosencolumn == chosenrows,]
可重复的例子:
server.R
### Start of Shiny server
shinyServer(function(input, output, session) {
reactdata <- reactiveValues()
observe({
if(is.null(input$fileinput)){return(NULL)}
else{reactdata$inputdata <- read.xlsx(input$fileinput$datapath, header=T, sheetIndex = 1)}
})
output$selectsamples <- renderUI({
if(is.null(input$fileinput)){return(NULL)}
selectInput("selectsamples",
label = h5("Samples"), choices = colnames(reactdata$inputdata),
selected="Sample")
})
output$sampleselected <- renderUI({
if(is.null(input$fileinput)){return(NULL)}
selectInput("sampleselected",
label = h5("sampleselected"), choices = unique(as.character(reactdata$inputdata[,input$selectsamples])),
selected="B")
})
output$selectdilutions <- renderUI({
if(is.null(input$fileinput)){return(NULL)}
selectInput("selectdilutions",
label=h5("Select Dilutions"),
choices = colnames(reactdata$inputdata),
selected="Dilution")
})
reactdata1 <- reactiveValues()
observe({
reactdata1$datatable1 <- datatable(reactdata$inputdata,
rownames = TRUE,
options = list(pageLength = 100, dom = 'tip'))
})
output$datatable1 <- renderDataTable({
reactdata1$datatable1
})
})
ui.R
require(shiny)
require(devtools)
require(grDevices)
require(xlsx)
require(DT)
shinyUI(fluidPage(
navbarPage("",inverse = FALSE,
tabPanel("Analyse")),
titlePanel(""),
fluidRow(
column(3,
wellPanel(
fileInput("fileinput", label = h5("Input file")),
uiOutput("selectsamples"),
uiOutput("sampleselected"),
uiOutput("selectdilutions")
)),
column(9,
fluidRow(
wellPanel(
uiOutput("sample1"),
dataTableOutput("datatable1"))
)))
)
)
我想更改reactdata1$datatable1
,以便它只包含所选样本选择的数据行(即选择输入$ sampleselected的值)。
所以,像reactdata1$datatable1[input$selectsamples == input$sampleselected,]
示例数据集在此处: Dropbox link to excel file
答案 0 :(得分:0)
以下是根据动态输入的用户输入对活动数据框进行子集的一般示例:
require(shiny)
ui <- shinyUI(fluidPage(
sidebarLayout(
sidebarPanel(
selectInput("dataset", "Choose a dataset:",
choices = c("rock", "pressure", "cars","DNase","iris")
),
selectizeInput(
'colName', 'Select Column: ', list(), multiple = TRUE
),
selectizeInput(
'rowName', 'Select Rows', list(), multiple = TRUE
)
),
mainPanel(
tableOutput('tbl')
)
) #end sidebar layout
))
server <- shinyServer(function(input, output, session) {
datasetInput <- reactive({
switch(input$dataset,
"rock" = rock,
"pressure" = pressure,
"cars" = cars,
"DNase"=DNase,
"iris"=iris)
})
# Update UI
observe({
updateSelectizeInput(session, "colName", choices = colnames( datasetInput() ))
updateSelectizeInput(session, "rowName", choices = rownames( datasetInput() ))
})
# Create reactive data by subseting the reactive dataset
r1 <- reactive({
v <- input$colName %in% colnames(datasetInput())
if( sum(v == FALSE) > 0) return() # Check for missmatching datasetInput names and column names
if(is.null(input$colName) || is.null(input$rowName)) return() # None selected, return empty
# Subset data
datasetInput()[as.numeric(input$rowName), input$colName, drop=FALSE]
})
output$tbl <- renderTable({
r1()
})
})
shinyApp(ui, server)