Group of mutually dependent selectizeInput for filtering data.frame's columns (like in Excel).
selectizeGroupUI(
id,
params,
label = NULL,
btn_label = "Reset filters",
inline = TRUE
)
selectizeGroupServer(input, output, session, data, vars, inline = TRUE)Module's id.
A named list of parameters passed to each selectizeInput, you can use :
inputId (obligatory, must be variable name), label, placeholder.
Character, global label on top of all labels.
Character, reset button label.
If TRUE (the default), selectizeInputs are horizontally positioned, otherwise vertically.
Use this argument in selectizeGroupUI and in selectizeGroupServer to make it work properly.
standards shiny server arguments.
Either a data.frame() or a shiny::reactive()
function returning a data.frame (do not use parentheses).
character, columns to use to create filters,
must correspond to variables listed in params. Can be a
reactive function, but values must be included in the initial ones (in params).
a shiny::reactive() function containing data filtered.
# Default -----------------------------------------------------------------
if (interactive()) {
library(shiny)
library(shinyWidgets)
data("mpg", package = "ggplot2")
ui <- fluidPage(
fluidRow(
column(
width = 10, offset = 1,
tags$h3("Filter data with selectize group"),
panel(
selectizeGroupUI(
id = "my-filters",
params = list(
manufacturer = list(inputId = "manufacturer", title = "Manufacturer:"),
model = list(inputId = "model", title = "Model:"),
trans = list(inputId = "trans", title = "Trans:"),
class = list(inputId = "class", title = "Class:")
)
), status = "primary"
),
DT::dataTableOutput(outputId = "table")
)
)
)
server <- function(input, output, session) {
res_mod <- callModule(
module = selectizeGroupServer,
id = "my-filters",
data = mpg,
vars = c("manufacturer", "model", "trans", "class")
)
output$table <- DT::renderDataTable(res_mod())
}
shinyApp(ui, server)
}
# Select variables --------------------------------------------------------
if (interactive()) {
library(shiny)
library(shinyWidgets)
data("mpg", package = "ggplot2")
ui <- fluidPage(
fluidRow(
column(
width = 10, offset = 1,
tags$h3("Filter data with selectize group"),
panel(
checkboxGroupInput(
inputId = "vars",
label = "Variables to use:",
choices = c("manufacturer", "model", "trans", "class"),
selected = c("manufacturer", "model", "trans", "class"),
inline = TRUE
),
selectizeGroupUI(
id = "my-filters",
params = list(
manufacturer = list(inputId = "manufacturer", title = "Manufacturer:"),
model = list(inputId = "model", title = "Model:"),
trans = list(inputId = "trans", title = "Trans:"),
class = list(inputId = "class", title = "Class:")
)
),
status = "primary"
),
DT::dataTableOutput(outputId = "table")
)
)
)
server <- function(input, output, session) {
vars_r <- reactive({
input$vars
})
res_mod <- callModule(
module = selectizeGroupServer,
id = "my-filters",
data = mpg,
vars = vars_r
)
output$table <- DT::renderDataTable({
req(res_mod())
res_mod()
})
}
shinyApp(ui, server)
}
# Subset data -------------------------------------------------------------
if (interactive()) {
library(shiny)
library(shinyWidgets)
data("mpg", package = "ggplot2")
ui <- fluidPage(
fluidRow(
column(
width = 10, offset = 1,
tags$h3("Filter data with selectize group"),
panel(
pickerInput(
inputId = "car_select",
choices = unique(mpg$manufacturer),
options = list(
`live-search` = TRUE,
title = "None selected"
)
),
selectizeGroupUI(
id = "my-filters",
params = list(
manufacturer = list(inputId = "manufacturer", title = "Manufacturer:"),
model = list(inputId = "model", title = "Model:"),
trans = list(inputId = "trans", title = "Trans:"),
class = list(inputId = "class", title = "Class:")
)
),
status = "primary"
),
DT::dataTableOutput(outputId = "table")
)
)
)
server <- function(input, output, session) {
mpg_filter <- reactive({
subset(mpg, manufacturer %in% input$car_select)
})
res_mod <- callModule(
module = selectizeGroupServer,
id = "my-filters",
data = mpg_filter,
vars = c("manufacturer", "model", "trans", "class")
)
output$table <- DT::renderDataTable({
req(res_mod())
res_mod()
})
}
shinyApp(ui, server)
}