R 中闪亮的反应式 selectInput
Shiny reactive selectInput in R
我有一个闪亮的应用程序,其中包含反应性数据。我希望应用程序 select 只有 X 轴和 Y 轴的非空列。目前我在 colnames(TD[,3:7])
之间进行选择,但列也有空值,因此我不希望这些列显示在变量 selection 中。下面是一个例子和我的代码:
type <- as.character(c('summer','summer','summer','summer','winter','winter','winter','winter'))
country <- as.character(c('A','A','B','B','A','A','B','B'))
year <- c(2011,2012,2013,2014,2011,2012,2013,2014)
col1 <- c(33,7,NA,NA,5,11,NA,NA)
col2 <- c(10,3,NA,NA,8,15,NA,NA)
col3 <- c(NA,NA,10,15,NA,NA,20,25)
col4 <- c(NA,NA,8,5,NA,NA,22,16)
TD <- data.frame(type,country,year,col1,col2,col3,col4,stringsAsFactors=FALSE)
library(readxl)
library(shiny)
library(ggplot2)
library(shinythemes)
library(DT)
ui <-shinyUI(fluidPage(pageWithSidebar(
headerPanel("Test App"),
sidebarPanel(
selectInput("type","Choose a type", choices = c("All",unique(TD$type))),
selectInput("country","Choose an country", choices = c("All",unique(TD$country))),
selectInput("yaxis", "Choose a y variable", choices = colnames(TD[,3:7])),
selectInput("xaxis", "Choose a x variable", choices = colnames(TD[,3:7])),
actionButton("goButton", "Update")
),
mainPanel(
tabsetPanel(
tabPanel('Plot', plotOutput("plot1"))
))
)
))
server <- shinyServer(function(input,output, session){
data1 <- reactive({
if(input$type == "All"){
TD
}
else{
TD[which(TD$type == input$type),]
}
})
data2 <- eventReactive(input$goButton,{
if (input$country == "All"){
TD
}else{
TD[which(TD$country == input$country),]
}
})
observe({
if(input$type != "All"){
updateSelectInput(session,"country","Choose a country", choices = c("All",unique(data1()$country)))
}
else if(input$country != 'All'){
updateSelectInput(session,"type","Choose a type", choices = c('All',unique(data2()$type)))
}
else if (input$type == "All" & input$country == "All"){
updateSelectInput(session,"country","Choose a country", choices = c('All',unique(TD$country)))
updateSelectInput(session,"type","Choose a type", choices = c('All',unique(TD$type)))
}
})
data3 <- eventReactive( input$goButton,{
req(input$goButton)
req(input$goButton)
if(input$country == "All"){
data1()
}
else if (input$type == "All"){
data2()
}
else if (input$country == "All" & input$type == "All"){
TD
}
else
{
TD[which(TD$country== input$country & TD$type == input$type),]
}
})
x_var<- eventReactive(input$goButton, {
input$xaxis
})
y_var <- eventReactive(input$goButton,{
input$yaxis
})
output$plot1 <- renderPlot({
x <- x_var()
y <- y_var()
p <- ggplot(data3(),aes(x=data3()[,x], y=data3()[,y])) + geom_line() + geom_point()
p + labs(x = x_var(), y = y_var()) + theme(plot.title = element_text(hjust = 0.5, size=20))
})
})
shinyApp(ui,server)
这是一个方法。它使用 selectize 插件 disable_options.
下载插件here。以 selectize-disable-options.js 的名称保存在应用程序文件夹的 www 子文件夹中。
那么这是应用程序:
library(shiny)
library(ggplot2)
CSS <- "
.selectize-dropdown [data-selectable].option-disabled {
color: #aaa;
cursor: default;
}"
type <- as.character(c('summer','summer','summer','summer','winter','winter','winter','winter'))
country <- as.character(c('A','A','B','B','A','A','B','B'))
year <- c(2011,2012,2013,2014,2011,2012,2013,2014)
col1 <- c(33,7,NA,NA,5,11,NA,NA)
col2 <- c(10,3,NA,NA,8,15,NA,NA)
col3 <- c(NA,NA,10,15,NA,NA,20,25)
col4 <- c(NA,NA,8,5,NA,NA,22,16)
TD <- data.frame(type,country,year,col1,col2,col3,col4,stringsAsFactors=FALSE)
ui <- fluidPage(
tags$head(
tags$script(src = "selectize-disable-options.js"),
tags$style(HTML(CSS))
),
titlePanel("Test App"),
sidebarLayout(
sidebarPanel(
selectInput("type","Choose a type", choices = c("All",unique(TD$type))),
selectInput("country","Choose an country", choices = c("All",unique(TD$country))),
selectizeInput("yaxis", "Choose a y variable", choices = colnames(TD[,3:7])),
selectInput("xaxis", "Choose a x variable", choices = colnames(TD[,3:7])),
actionButton("goButton", "Update")
),
mainPanel(
tabsetPanel(
tabPanel('Plot', plotOutput("plot1"))
)
)
)
)
server <- function(input, output, session){
data1 <- reactive({
if(input$type == "All"){
TD
}else{
TD[TD$type == input$type,]
}
})
data2 <- reactive({
if(input$country == "All"){
TD
}else{
TD[TD$country == input$country,]
}
})
observe({
if(input$type != "All"){
selected_country <- isolate(input$country)
countries <- unique(data1()$country)
updateSelectInput(
session, "country",
choices = c("All", countries),
selected = ifelse(selected_country %in% countries, selected_country, "All")
)
}else if(input$country != 'All'){
selected_type <- isolate(input$type)
types <- unique(data2()$type)
updateSelectInput(
session, "type",
choices = c('All', types),
selected = ifelse(selected_type %in% types, selected_type, "All")
)
}else if(input$type == "All" && input$country == "All"){
updateSelectInput(
session, "country",
choices = c('All', unique(TD$country))
)
updateSelectInput(
session, "type",
choices = c('All', unique(TD$type))
)
}
})
data3 <- reactive({
if(input$country == "All"){
data1()
}else if(input$type == "All"){
data2()
}else if(input$country == "All" && input$type == "All"){
TD
}else{
TD[which(TD$country== input$country & TD$type == input$type),]
}
})
observeEvent(data3(), {
emptyColumns <- sapply(data3()[,3:7], function(x){
all(is.na(x))
})
choices <- colnames(TD[,3:7])
choices[emptyColumns] <- paste(choices[emptyColumns], "(no data)")
updateSelectizeInput(
session, "yaxis", choices = choices,
options = list(
plugins = list(
disable_options = list(
disableOptions = as.list(choices[emptyColumns])
)
)
)
)
})
data4 <- eventReactive(input$goButton, {
data3()
})
x_var<- eventReactive(input$goButton, {
input$xaxis
})
y_var <- eventReactive(input$goButton,{
input$yaxis
})
output$plot1 <- renderPlot({
x <- x_var()
y <- y_var()
p <- ggplot(data4(), aes_string(x=x, y=y)) + geom_line() + geom_point()
p + labs(x = x, y = y) + theme(plot.title = element_text(hjust = 0.5, size=20))
})
}
shinyApp(ui,server)
空列在 select 输入中被禁用:
我有一个闪亮的应用程序,其中包含反应性数据。我希望应用程序 select 只有 X 轴和 Y 轴的非空列。目前我在 colnames(TD[,3:7])
之间进行选择,但列也有空值,因此我不希望这些列显示在变量 selection 中。下面是一个例子和我的代码:
type <- as.character(c('summer','summer','summer','summer','winter','winter','winter','winter'))
country <- as.character(c('A','A','B','B','A','A','B','B'))
year <- c(2011,2012,2013,2014,2011,2012,2013,2014)
col1 <- c(33,7,NA,NA,5,11,NA,NA)
col2 <- c(10,3,NA,NA,8,15,NA,NA)
col3 <- c(NA,NA,10,15,NA,NA,20,25)
col4 <- c(NA,NA,8,5,NA,NA,22,16)
TD <- data.frame(type,country,year,col1,col2,col3,col4,stringsAsFactors=FALSE)
library(readxl)
library(shiny)
library(ggplot2)
library(shinythemes)
library(DT)
ui <-shinyUI(fluidPage(pageWithSidebar(
headerPanel("Test App"),
sidebarPanel(
selectInput("type","Choose a type", choices = c("All",unique(TD$type))),
selectInput("country","Choose an country", choices = c("All",unique(TD$country))),
selectInput("yaxis", "Choose a y variable", choices = colnames(TD[,3:7])),
selectInput("xaxis", "Choose a x variable", choices = colnames(TD[,3:7])),
actionButton("goButton", "Update")
),
mainPanel(
tabsetPanel(
tabPanel('Plot', plotOutput("plot1"))
))
)
))
server <- shinyServer(function(input,output, session){
data1 <- reactive({
if(input$type == "All"){
TD
}
else{
TD[which(TD$type == input$type),]
}
})
data2 <- eventReactive(input$goButton,{
if (input$country == "All"){
TD
}else{
TD[which(TD$country == input$country),]
}
})
observe({
if(input$type != "All"){
updateSelectInput(session,"country","Choose a country", choices = c("All",unique(data1()$country)))
}
else if(input$country != 'All'){
updateSelectInput(session,"type","Choose a type", choices = c('All',unique(data2()$type)))
}
else if (input$type == "All" & input$country == "All"){
updateSelectInput(session,"country","Choose a country", choices = c('All',unique(TD$country)))
updateSelectInput(session,"type","Choose a type", choices = c('All',unique(TD$type)))
}
})
data3 <- eventReactive( input$goButton,{
req(input$goButton)
req(input$goButton)
if(input$country == "All"){
data1()
}
else if (input$type == "All"){
data2()
}
else if (input$country == "All" & input$type == "All"){
TD
}
else
{
TD[which(TD$country== input$country & TD$type == input$type),]
}
})
x_var<- eventReactive(input$goButton, {
input$xaxis
})
y_var <- eventReactive(input$goButton,{
input$yaxis
})
output$plot1 <- renderPlot({
x <- x_var()
y <- y_var()
p <- ggplot(data3(),aes(x=data3()[,x], y=data3()[,y])) + geom_line() + geom_point()
p + labs(x = x_var(), y = y_var()) + theme(plot.title = element_text(hjust = 0.5, size=20))
})
})
shinyApp(ui,server)
这是一个方法。它使用 selectize 插件 disable_options.
下载插件here。以 selectize-disable-options.js 的名称保存在应用程序文件夹的 www 子文件夹中。
那么这是应用程序:
library(shiny)
library(ggplot2)
CSS <- "
.selectize-dropdown [data-selectable].option-disabled {
color: #aaa;
cursor: default;
}"
type <- as.character(c('summer','summer','summer','summer','winter','winter','winter','winter'))
country <- as.character(c('A','A','B','B','A','A','B','B'))
year <- c(2011,2012,2013,2014,2011,2012,2013,2014)
col1 <- c(33,7,NA,NA,5,11,NA,NA)
col2 <- c(10,3,NA,NA,8,15,NA,NA)
col3 <- c(NA,NA,10,15,NA,NA,20,25)
col4 <- c(NA,NA,8,5,NA,NA,22,16)
TD <- data.frame(type,country,year,col1,col2,col3,col4,stringsAsFactors=FALSE)
ui <- fluidPage(
tags$head(
tags$script(src = "selectize-disable-options.js"),
tags$style(HTML(CSS))
),
titlePanel("Test App"),
sidebarLayout(
sidebarPanel(
selectInput("type","Choose a type", choices = c("All",unique(TD$type))),
selectInput("country","Choose an country", choices = c("All",unique(TD$country))),
selectizeInput("yaxis", "Choose a y variable", choices = colnames(TD[,3:7])),
selectInput("xaxis", "Choose a x variable", choices = colnames(TD[,3:7])),
actionButton("goButton", "Update")
),
mainPanel(
tabsetPanel(
tabPanel('Plot', plotOutput("plot1"))
)
)
)
)
server <- function(input, output, session){
data1 <- reactive({
if(input$type == "All"){
TD
}else{
TD[TD$type == input$type,]
}
})
data2 <- reactive({
if(input$country == "All"){
TD
}else{
TD[TD$country == input$country,]
}
})
observe({
if(input$type != "All"){
selected_country <- isolate(input$country)
countries <- unique(data1()$country)
updateSelectInput(
session, "country",
choices = c("All", countries),
selected = ifelse(selected_country %in% countries, selected_country, "All")
)
}else if(input$country != 'All'){
selected_type <- isolate(input$type)
types <- unique(data2()$type)
updateSelectInput(
session, "type",
choices = c('All', types),
selected = ifelse(selected_type %in% types, selected_type, "All")
)
}else if(input$type == "All" && input$country == "All"){
updateSelectInput(
session, "country",
choices = c('All', unique(TD$country))
)
updateSelectInput(
session, "type",
choices = c('All', unique(TD$type))
)
}
})
data3 <- reactive({
if(input$country == "All"){
data1()
}else if(input$type == "All"){
data2()
}else if(input$country == "All" && input$type == "All"){
TD
}else{
TD[which(TD$country== input$country & TD$type == input$type),]
}
})
observeEvent(data3(), {
emptyColumns <- sapply(data3()[,3:7], function(x){
all(is.na(x))
})
choices <- colnames(TD[,3:7])
choices[emptyColumns] <- paste(choices[emptyColumns], "(no data)")
updateSelectizeInput(
session, "yaxis", choices = choices,
options = list(
plugins = list(
disable_options = list(
disableOptions = as.list(choices[emptyColumns])
)
)
)
)
})
data4 <- eventReactive(input$goButton, {
data3()
})
x_var<- eventReactive(input$goButton, {
input$xaxis
})
y_var <- eventReactive(input$goButton,{
input$yaxis
})
output$plot1 <- renderPlot({
x <- x_var()
y <- y_var()
p <- ggplot(data4(), aes_string(x=x, y=y)) + geom_line() + geom_point()
p + labs(x = x, y = y) + theme(plot.title = element_text(hjust = 0.5, size=20))
})
}
shinyApp(ui,server)
空列在 select 输入中被禁用: