I am trying to subset data frame of three column (StockCode,Price,label)
but I had to used reactive and my ask is how to render label
I need somethink like renderText(dataset()$label)
ui.R
library(shiny)
# Define UI for app that draws a histogram ----
ui <- fluidPage(
# App title ----
titlePanel("Hello Shiny!"),
# Sidebar layout with input and output definitions ----
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
uiOutput("codePanel")
),
# Main panel for displaying outputs ----
mainPanel(
textOutput("text")
)
)
)
server.R
server <- function(input, output) {
output$codePanel<-renderUI({
selectInput("codeInput",label ="choose code",choices =data$StockCode)
})
dataset<-reactive({
subset(data,data$StockCode==input$codeInput)
})
output$text<-renderText(dataset())
}
If we are looking to show the data.frame
output use the renderDataTable
from DT
. For reproducibility, used the inbuilt dataset iris
library(shiny)
library(DT)
ui <- fluidPage(
# App title ----
titlePanel("Hello Shiny!"),
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
uiOutput("codePanel")
),
mainPanel(
DT::dataTableOutput("text")
)
)
)
server <- function(input, output) {
filt <- selectInput("codeInput",label ="choose code",
choices = as.list(unique(iris$Species)))
output$codePanel <- renderUI({ filt
})
dataset<-reactive({
subset(iris, Species == input$codeInput)
})
output$text<-renderDataTable(dataset())
}
shinyApp(ui = ui, server = server)
-output
The dataset rows can be pasted together to a string to be used in the renderText
ui <- fluidPage(
# App title ----
titlePanel("Hello Shiny!"),
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
uiOutput("codePanel")
),
mainPanel(
verbatimTextOutput("text")
)
)
)
server <- function(input, output) {
filt <- selectInput("codeInput",label ="choose code",
choices = as.list(unique(iris$Species)))
output$codePanel <- renderUI({ filt
})
iris$Species <- as.character(iris$Species)
dataset<-reactive({
do.call(paste, c(collapse = "\n", rbind(colnames(iris), subset(iris, Species == input$codeInput))))
})
output$text<-renderText(dataset())
}
shinyApp(ui = ui, server = server)
-output
Or use htmlOutput
with renderUI
ui <- fluidPage(
# App title ----
titlePanel("Hello Shiny!"),
sidebarLayout(
# Sidebar panel for inputs ----
sidebarPanel(
uiOutput("codePanel")
),
mainPanel(
htmlOutput("text")
)
)
)
server <- function(input, output) {
filt <- selectInput("codeInput",label ="choose code",
choices = as.list(unique(iris$Species)))
output$codePanel <- renderUI({ filt
})
dataset<-reactive({
do.call(paste, c(collapse = "<br/>", rbind(colnames(iris), subset(iris, Species == input$codeInput))))
})
output$text<-renderUI(HTML(dataset()))
}
shinyApp(ui = ui, server = server)
I could not get renderDataTable
from DT
to work. A message said some functions were masked. So, I removed DT
and added in some code from the R Studio
tutorial on tables and data.frames
. This is what I came up with:
library(shiny)
ui <- fluidPage(
# App title ----
titlePanel("Subsetting Iris Dataset"),
sidebarLayout(
# Sidebar panel for inputs
sidebarPanel(
uiOutput("codePanel"),
# Input: Numeric entry for number of obs to view
numericInput(inputId = "obs",
label = "Number of observations to view:",
value = 10)
),
mainPanel(
tableOutput("view")
)
)
)
server <- function(input, output) {
filt <- selectInput("codeInput", label = "choose code",
choices = unique(iris$Species))
output$codePanel <- renderUI({ filt
})
dataset <- reactive({
subset(iris, Species == input$codeInput)
})
output$view <- renderTable(head(dataset(), n = input$obs))
}
shinyApp(ui = ui, server = server)
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