我想知道显示不同的Tabset面板。我有一些示例代码，我尝试使其工作，但它一次显示所有三个Tabset面板，但是，我想一次只显示一个。
一些示例代码：
ui.r
filenames <- list.files(path = "data",pattern="\\.txt$")
names(filenames) <- gsub(pattern = "\\.txt$", "", filenames)
shinyUI(fluidPage(theme = "bootstrap.css",
(navbarPage("BETA Version",position = c("fixed-top"), fluid=TRUE, ##position = c("fixed-top"), fluid=TRUE
navbarMenu("Help",
tabPanel(
a("List of GPLs available",
target="_blank",href="GPLs.pdf")),
tabPanel(
a("Reference Manual",
target="_blank", href="UserGuide.pdf")))
)),
br(),
titlePanel(
headerPanel(
h3("Hello Hello Testing", align="center", style="bold"))),
br(),
br(),
sidebarLayout(
sidebarPanel(
h5("Upload Data Files",style="bold"),
fileInput("files", "Choose CSV/txt processed files or raw files", multiple = "TRUE",
accept=c('text/csv', 'text/comma-separated-values,text/plain', '.csv','.cel','.TXT','.txt')),
#selectInput('dataset',"Choose platform annotation file", c("Please select a file" ='',filenames)),
fluidRow(
column(10,
radioButtons("radiometa", label = h5("What you want"),
choices = list(" Control)" = 1,
"PCA" = 2, "analysis" = 3),selected = NULL))),
conditionalPanel(
"input.radiometa == 1",
wellPanel(
h5("Symbol File ", style = "bold"),
fileInput("file1", "Choose files", multiple = "FALSE",
accept=c('text/csv', 'text/comma-separated-values,
text/plain', '.csv','.cel','.TXT','.txt')),
h5("Calculation", style = "bold"),
fileInput("file2", "Choose files", multiple = "FALSE",
accept=c('text/csv', 'text/comma-separated-values,
text/plain', '.csv','.cel','.TXT','.txt')),
radioButtons("radioQC1", label = h5("Settings"),
choices = list("Default setting" = 1, "Parameter Setting" = 2)),
conditionalPanel(
"input.radioQC1 == 2",
h5("Set Parameters"),
checkboxInput("checkboxQC1", label= "P Processing", value = FALSE),
checkboxInput("checkboxQC2", label= "Cache", value = FALSE),
checkboxInput("checkboxQC3", label= " Genes", value = FALSE),
numericInput("numQC0", label = h5("Number of C"),
value = NULL, min = 2, max = 8, step = 1),
numericInput("numQC1", label = h5("Allowed"),
value = NULL, min = 0.1, max = 2, step = 0.1),
numericInput("numQC2", label = h5(" Mean"),
value = NULL, min = 0.1, max = 2, step = 0.1),
numericInput("numQC3", label = h5("Cut Ration"),
value = NULL, min = 0.1, max = 2, step = 0.1),
numericInput("numQC4", label = h5("Min number"),
value = NULL, min = 1, max = 10, step = 1),
radioButtons("radioQC2", label = h5("Data"),
choices = list("Twocl" = "Two", "Multicl" = "Multi",
"Surv" = "Sur")),
textInput("textQC1", label = "Tests", value = "E.g 1e2 or 1e3 or 1e4 .."),
numericInput("textQC2", label = "PCut", value = NULL,
min = 0.01, max = 1, step = 0.01),
checkboxInput("checkboxQC4", label= "Adjust ", value = FALSE)
)
)
),
conditionalPanel(
"input.radiometa == 2",
wellPanel(
h5("PCA ", style = "bold"),
radioButtons("PCAMethods", label = h5("Choose PCA method"),
choices = list("An" = 1, "Ei" = 2,
"Rob" = 3, "Spar" = 4), selected = NULL),
conditionalPanel(
"input.PCAMethods == 3",
radioButtons("PCARobMethod", label = h5("Choose PCA Variance"),
choices = list("qn" = 1, "mad" = 2), selected = NULL)
),
numericInput("NumofPC", label = h5("Choose Num of PC"),
value = NULL, min = 1, max = 5, step = 1),
numericInput("MaxItertions", label = h5("Maximum Iterations"),
value = NULL, min = 1, max = 200, step = 1),
textInput("SprsEps", label = h5("Presion Level"), value = "E.g 1e-3"),
checkboxInput("Scale", label= h5("Normalization"), value = FALSE),
checkboxInput("ScaleAdjus", label= h5("Scaling Adjustment"), value = FALSE),
checkboxInput("GeneFilt", label= h5("Filtering"), value = FALSE),
numericInput("CutRatioByMean", label = h5("By Mean"),
value = NULL, min = .1, max = 1, step = .1),
numericInput("CutRatioByVar", label = h5("By Variance"),
value = NULL, min = .1, max = 1, step = .1),
checkboxInput("ImputeMissing", label= h5(" Genes"),
value = FALSE),
numericInput("StdyWisGenfilt", label =
h5("missing proportio"),
value = NULL, min = .1, max = 1, step = .1),
numericInput("EachstdyGenfilt", label =
h5("Filter proportion"),
value = NULL, min = .1, max = 1, step = .1)
)
),
conditionalPanel(
"input.radiometa == 3",
wellPanel(
h5("Upload Data Files",style="bold"),
selectInput('dataset',"file", c("Please select a file" ='',filenames)),
radioButtons("radio", label = h5("Data uploaded"),
choices = list("Affy" = 1, "Ill" = 3),selected = NULL),
radioButtons("radio1", label = h5("Choose a method"),
choices = list(
"Fill" = 1, "Stap" = 2,
"Astg" = 3, "ming" = 4,
"malti" = 5, "SR" = 6,
"PRsgs" = 7,"mi" = 8,
"ma" = 9,
"Fist" = 10,
"Stng" = 11),
selected = NULL)
)
),
br(),
column(5,
actionButton("Submit", label = "Submit")),
br(),
br(),
br()
),
mainPanel(
conditionalPanel(
condition = "input.radiometa == 1",
tabsetPanel(
tabPanel("Sample Data",dataTableOutput("qfile")),
tabPanel("Source Data", dataTableOutput("sourced")),
tabPanel("Q Summary",dataTableOutput("qSummary")),
tabPanel("Plot", plotOutput("PlotSummary"))
)
),
conditionalPanel(
condition = "input.radiometa ==2",
tabsetPanel(
tabPanel("Panel1",dataTableOutput("panel1")),
tabPanel("Panel2", dataTableOutput("panel2"))
)
),
conditionalPanel(
condition = "input.radiometa == 3",
tabsetPanel(
tabPanel("File List",dataTableOutput("file")),
tabPanel("Source Data", dataTableOutput("sourced")),
tabPanel("Annotation Data",dataTableOutput("annotation")),
tabPanel("Summary",dataTableOutput("final")),
tabPanel("Supplementary File", dataTableOutput("full"))
)
)
)
)
))
server.r
shinyServer(function(input, output) {
})
答案 0 :(得分：1)
问题是因为您在第一个和第三个Source Data中有tabPanel个tabsetPanel的重复名称。纠正这个，不应该给任何问题。希望这有效。