Group of mutually dependent selectizeInput
for filtering data.frame's columns (like in Excel).
Usage
selectizeGroupUI(
id,
params,
label = NULL,
btn_label = "Reset filters",
inline = TRUE
)
selectizeGroupServer(input, output, session, data, vars, inline = TRUE)
Arguments
- id
Module's id.
- params
A named list of parameters passed to each
selectizeInput
, you can use :inputId
(obligatory, must be variable name),label
,placeholder
.- label
Character, global label on top of all labels.
- btn_label
Character, reset button label.
- inline
If
TRUE
(the default),selectizeInput
s are horizontally positioned, otherwise vertically. Use this argument inselectizeGroupUI
and inselectizeGroupServer
to make it work properly.- input, output, session
standards
shiny
server arguments.- data
Either a
data.frame()
or ashiny::reactive()
function returning adata.frame
(do not use parentheses).- vars
character, columns to use to create filters, must correspond to variables listed in
params
. Can be areactive
function, but values must be included in the initial ones (inparams
).
Value
a shiny::reactive()
function containing data filtered.
Examples
# 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)
}