The reproducible code below uses a fluidRow()
to house several user selections using radio buttons. Works fine in this limited example of only 2 radio button groupings. But I need to fit more radio button groupings into this row, without any wrapping. To do this, I'd like to replace this combination of fluidRow()
/column()
with a horizontally scrollable, non-wrapping row that is not subject to the limitations of the 12-wide grid system currently used in this code.
Also, all objects viewed in the scrolling row need to be left aligned without "fluid" expansion. Currently, using this fluidRow()
/column()
combo, if the viewing pane is expanded, the 2 columns housing each radio button grouping also expanded which doesn't look good. They need to remain fixed width and stay to the left.
Is this possible?
I prefer sticking with this sidebar/main panel/tab panel/conditional panel layout as I find it very user friendly for navigating the type of data we work with.
The image at the bottom further explains.
Reproducible code:
library(dplyr)
library(DT)
library(shiny)
library(shinyWidgets)
ui <-
fluidPage(
titlePanel("Summary"),
sidebarLayout(
sidebarPanel(
selectInput("selectData", h5("Select data to view:"),
choices = list("Beta"),
selected = "Beta"),
),
mainPanel(
tabsetPanel(
tabPanel("Private data", value = 1,
conditionalPanel(condition = "input.selectData == 'Beta'",
fluidRow(div(style = "margin-top:15px"),
column(width = 6, offset = 0,
wellPanel(
radioButtons(inputId = 'group1',
label = NULL,
choiceNames = c('By period','By MOA'),
choiceValues = c('Period','MOA'),
selected = 'Period',
inline = TRUE
),
style = "padding-top: 12px; padding-bottom: 0px;"
)
),
column(width = 6, offset = 0,
wellPanel(
radioButtons(inputId = 'group2',
label = NULL,
choiceNames = c('Exclude CT','Include CT'),
choiceValues = c('Exclude','Include'),
selected = 'Exclude',
inline = TRUE
),
style = "padding-top: 12px; padding-bottom: 0px;"
)
)
),
DTOutput("plants")
)
),
id = "tabselected"
)
)
)
)
server <- function(input, output, session) {
output$plants <- renderDT({iris %>% datatable(rownames = FALSE)})
}
shinyApp(ui, server)