如何在 R Shiny 应用程序中使相关的服务器端选择 UI 元素?
How to make related server-side selectize UI elements in R Shiny application?
我有一个带有两个 UI 选择器的 R Shiny 应用程序,每个选择器都有一个很大的项目列表。我知道如何为一个元素制作服务器端元素。但是如何使两个相关的服务器端 'selectInput' 元素。因此,当一个元素发生变化时 - 另一个元素应适当反映。
示例。
第一个列表有 97,310 个元素。
第二个列表应该有:
2.1。对于第一个元素 "Aaban" - 2 个相关值 (10, 11)
2.2。对于第二个元素 "Aabha" - 1 个相关值 (12)
2.3。对于第三个元素 "Aabid" - 3 个相关值 (13, 14, 15)
这是R代码。
library(shiny)
library(dplyr)
library(babynames)
# 1. Data sets
# 1.1. First data set (list)
list_names <- babynames::babynames %>%
distinct(name) %>%
pull(name) %>%
sort()
# 1.2. Second data set (data frame) for 3 first 'names' elements
df_ages <- data.frame(
name = c("Aaban", "Aaban", "Aabha", "Aabid", "Aabid", "Aabid"),
age = c(10, 11, 12, 13, 14, 15))
# 2. UI
ui <- fluidPage(
fluidRow(selectInput("si_name", "Name", multiple = FALSE, choices = character(0))),
fluidRow(selectInput("si_age", "Age", multiple = FALSE, choices = character(0))))
# 3. Server
server <- function(input, output, session) {
updateSelectizeInput(session, "si_name", choices = list_names, server = TRUE)
updateSelectizeInput(session, "si_age", choices = df_ages$age, server = TRUE)
}
# 4. App
shinyApp(ui, server)
谢谢!
我想你想要:
# 2. UI
ui <- fluidPage(
fluidRow(selectInput("si_name", "Name", multiple = FALSE,
choices = unique(df_ages$name))),
fluidRow(selectInput("si_age", "Age", multiple = FALSE, choices = character(0)))
)
# 3. Server
server <- function(input, output, session) {
observeEvent(input$si_name, {
ages <- df_ages[df_ages$name == input$si_name, "age"]
updateSelectizeInput(session, "si_age", choices = ages, server = TRUE)
})
}
我有一个带有两个 UI 选择器的 R Shiny 应用程序,每个选择器都有一个很大的项目列表。我知道如何为一个元素制作服务器端元素。但是如何使两个相关的服务器端 'selectInput' 元素。因此,当一个元素发生变化时 - 另一个元素应适当反映。
示例。
第一个列表有 97,310 个元素。
第二个列表应该有:
2.1。对于第一个元素 "Aaban" - 2 个相关值 (10, 11)
2.2。对于第二个元素 "Aabha" - 1 个相关值 (12)
2.3。对于第三个元素 "Aabid" - 3 个相关值 (13, 14, 15)
这是R代码。
library(shiny)
library(dplyr)
library(babynames)
# 1. Data sets
# 1.1. First data set (list)
list_names <- babynames::babynames %>%
distinct(name) %>%
pull(name) %>%
sort()
# 1.2. Second data set (data frame) for 3 first 'names' elements
df_ages <- data.frame(
name = c("Aaban", "Aaban", "Aabha", "Aabid", "Aabid", "Aabid"),
age = c(10, 11, 12, 13, 14, 15))
# 2. UI
ui <- fluidPage(
fluidRow(selectInput("si_name", "Name", multiple = FALSE, choices = character(0))),
fluidRow(selectInput("si_age", "Age", multiple = FALSE, choices = character(0))))
# 3. Server
server <- function(input, output, session) {
updateSelectizeInput(session, "si_name", choices = list_names, server = TRUE)
updateSelectizeInput(session, "si_age", choices = df_ages$age, server = TRUE)
}
# 4. App
shinyApp(ui, server)
谢谢!
我想你想要:
# 2. UI
ui <- fluidPage(
fluidRow(selectInput("si_name", "Name", multiple = FALSE,
choices = unique(df_ages$name))),
fluidRow(selectInput("si_age", "Age", multiple = FALSE, choices = character(0)))
)
# 3. Server
server <- function(input, output, session) {
observeEvent(input$si_name, {
ages <- df_ages[df_ages$name == input$si_name, "age"]
updateSelectizeInput(session, "si_age", choices = ages, server = TRUE)
})
}