I am trying to find the way to have some hidden tabs and show them after clicking an actionButton. I found this post but the proposed solution uses navbarPage. I tried to change the example using sidebarPanel:
library(shiny)
library(shinyjs)
ui <- fluidPage(useShinyjs(),
tags$head(tags$style(HTML("#hello li a[data-value = 'tab2_val'], #hello li a[data-value = 'tab3_val']
{ display: none;}"))),
# Application title
titlePanel("My app"),
sidebarLayout(
sidebarPanel(
tabsetPanel("hello", id="hello",
tabPanel("home", br(), h3("Click the button"),actionButton("enter", "enter")),
tabPanel("tab2", value = "tab2_val", br(), h4("this is tab2")),
tabPanel("tab3 with a lot of stuff in it", value = "tab3_val", br(), h4("this is tab3"))),
mainPanel(
)
)
)
)
server <- function(input, output, session) {
observeEvent(input$enter, {
show(selector = '#hello li a[data-value="tab3_val"]')
show(selector = '#hello li a[data-value="tab2_val"]')
})}
shinyApp(ui, server)
But I get this error:
Error: Navigation containers expect a collection of
bslib::nav()/shiny::tabPanel()s and/orbslib::nav_menu()/shiny::navbarMenu()s. Consider usingheaderorfooterif you wish to place content above (or below) every panel's contents.
I tried to run the proposed solution in this post, but I still get the same error. I suppose it is because the version of shiny that I have (which is 1.7.1).
Could anyone help me with this?
I attach you a reproducible example. The idea is to have Tab2 and Tab3 hidden and when you click the actionButton "Submit" they appear.
library(shiny)
library(dplyr)
library(ggplot2)
ui <- fluidPage(
titlePanel("My app"),
sidebarLayout(
sidebarPanel(
tabsetPanel(
tabPanel("Tab1",
checkboxInput("log2", "Log2 transformation", value = FALSE),
actionButton("submit", "Submit")
),
tabPanel("Tab2",
radioButtons(inputId = "plot_type", label = "I want to see the plot of:",
c("All the samples" = "all_samples",
"Groups" = "samples_group")),
conditionalPanel(
condition = "input.plot_type == 'samples_group'",
style = "margin-left: 20px;",
checkboxGroupInput("group", "Choose the group:",
choices = c("Group1", "Group2", "Group3"))),
actionButton("show_plot", "See the plot")
),
tabPanel("Tab3",
numericInput("alpha", "Opacity of the plot", value=0.2),
checkboxInput(inputId = "Kruskalpval", label = "Show the Kruskal Wallis p-value", value = FALSE),
conditionalPanel(
condition = "input.Kruskalpval == '1'",
style = "margin-left: 20px;",
checkboxInput(inputId = "changeKW", "I want to change the place of the value", value=FALSE),
conditionalPanel(
condition = "input.changeKW == '1'",
numericInput(inputId = "X_axis", "X_axis:", value=2),
numericInput(inputId = "Y_axis", "Y_axis:", value=70)
)
),
actionButton("show_plot_2", "See the plot")
)
)
),
mainPanel(
plotOutput("boxplots")
)
)
)
server <- function(input, output) {
set.seed(1234)
Gene <- floor(runif(25, min=0, max=101))
groups_age <- floor(runif(25, min=18, max=75))
Group <- c("Group1", "Group1", "Group3", "Group2", "Group1", "Group3", "Group2", "Group2", "Group2", "Group1", "Group1", "Group3", "Group1", "Group2", "Group1", "Group2", "Group3", "Group1", "Group3", "Group3", "Group2", "Group1", "Group3", "Group3","Group2")
data <- reactive({
df <- data.frame(Gene, Group, groups_age)
mybreaks <- seq(min(df$groups_age)-1, to=max(df$groups_age)+10, by=10)
df$groups_age <- cut(df$groups_age, breaks = mybreaks, by=10)
if(input$plot_type == "samples_group"){
# if the user selects everything, it will take everything.
if(all(c("Group1", "Group2", "Group3") %in% input$group)){
return(df)
# if the user only selects group1 and group2, it will appear only those columns.
}else if (all(c("Group1", "Group2") %in% input$group)) {
df <- subset(df, (df$Group == "Group1" | df$Group == "Group2"))
return(df)
# if the user only selects group1 and group3, it will appear only those columns.
}else if (all(c("Group1", "Group3") %in% input$group)) {
df <- subset(df, (df$Group == "Group1" | df$Group == "Group3"))
return(df)
# if the user only selects Group2 and Group3, it will appear only those columns.
}else if (all(c("Group2", "Group3") %in% input$group)) {
df <- subset(df, (df$Group == "Group2" | df$Group == "Group3"))
return(df)
# if the user only selects Group1
} else if ("Group1" %in% input$group) {
df <- subset(df, (df$Group == "Group1"))
return(df)
# if the user only selects group2
} else if ("Group2" %in% input$group) {
df <- subset(df, (df$Group == "Group2"))
return(df)
# if the user only selects group3
} else if ("Group3" %in% input$group) {
df <- subset(df, (df$Group == "Group3"))
return(df)
# if the user doesn't select anything.
} else {
return(df)
}
}else{
df$Group <- NULL
return(df)
}
})
mydata <- reactive({
req(input$submit)
if(input$log2 == TRUE){
data <- data()
cols <- sapply(data, is.numeric)
data[cols] <- lapply(data[cols], function(x) log2(x+1))
}
else{
data <- data()
}
return(data)
})
draw_bp <- eventReactive(c(input$show_plot, input$show_plot_2), {
if(ncol(mydata())==2){
bp <- ggplot(mydata(), aes(x=groups_age, y=Gene)) +
geom_boxplot(aes(fill=groups_age), alpha = input$alpha) +
labs(fill = "groups_age")
if((input$Kruskalpval == "TRUE") && (input$changeKW==FALSE)){
pval <- mydata() %>%
summarize(Kruskal_pvalue = kruskal.test(Gene ~ groups_age)$p.value)
bp <- bp + geom_text(data=pval, aes(x=2, y=max(mydata()$Gene)-10, label=paste0("Kruskal-Wallis\n p = ",Kruskal_pvalue)))
}
if((input$Kruskalpval == "TRUE") && (input$changeKW==TRUE)){
pval <- mydata() %>%
summarize(Kruskal_pvalue = kruskal.test(Gene ~ groups_age)$p.value)
bp <- bp + geom_text(data=pval, aes(x=isolate(input$X_axis), y=isolate(input$Y_axis), label=paste0("Kruskal-Wallis\n p = ",Kruskal_pvalue)))
}
return(bp)
}
else{
bp <- ggplot(mydata(), aes(x=groups_age, y=Gene)) +
geom_boxplot(aes(fill=groups_age), alpha=input$alpha) +
facet_grid(. ~ Group)
if((input$Kruskalpval == "TRUE") && (input$changeKW==FALSE)){
pval <- mydata() %>%
group_by(Group) %>%
summarize(Kruskal_pvalue = kruskal.test(Gene ~ groups_age)$p.value)
bp <- bp + geom_text(data=pval, aes(x=2, y=max(mydata()$Gene)-10, label=paste0("Kruskal-Wallis\n p = ",Kruskal_pvalue)))
}
if((input$Kruskalpval == "TRUE") && (input$changeKW==TRUE)){
pval <- mydata() %>%
group_by(Group) %>%
summarize(Kruskal_pvalue = kruskal.test(Gene ~ groups_age)$p.value)
bp <- bp + geom_text(data=pval, aes(x=isolate(input$X_axis), y=isolate(input$Y_axis), label=paste0("Kruskal-Wallis\n p = ",Kruskal_pvalue)))
}
return(bp)
}
})
v <- reactiveValues()
observeEvent(input$show_plot | input$show_plot_2, {
v$plot <- draw_bp()
})
output$boxplots <- renderPlot({
req(input$submit)
draw_bp()
})
}
shinyApp(ui = ui, server = server)
Thanks very much in advance
Regards
"hello"intabsetPanel.tabsetPanelexpects tabPanels not strings. – Jijib