本文介绍了闪亮的反应性选择输入R的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我有一个包含反应数据的应用程序。我希望应用程序只为X和Y轴选择非空列。目前我在colnames(TD[,3:7])之间进行选择，但是列也有空值，所以我不希望这些列显示在变量选择中。下面是一个示例和我的代码：
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$plot1 <- renderPlot({
x <- x_var()
y <- y_var()
p <- ggplot(data3(),aes(x=data3()[,x], y=data3()[,y])) + geom_line() + geom_point()
p + labs(x = x_var(), y = y_var()) + theme(plot.title = element_text(hjust = 0.5, size=20))
})
})
shinyApp(ui,server)
推荐答案
这里有一种方法。它使用选择插件Disable_Options。
下载插件here。将其保存在应用程序文件夹的www子文件夹中的名称SELECTIZE-Disable-options.js下。然后是应用程序：
library(shiny)
library(ggplot2)
CSS <- "
.selectize-dropdown [data-selectable].option-disabled {
color: #aaa;
cursor: default;
}"
type <- as.character(c('summer','summer','summer','summer','winter','winter','winter','winter'))
country <- as.character(c('A','A','B','B','A','A','B','B'))
year <- c(2011,2012,2013,2014,2011,2012,2013,2014)
col1 <- c(33,7,NA,NA,5,11,NA,NA)
col2 <- c(10,3,NA,NA,8,15,NA,NA)
col3 <- c(NA,NA,10,15,NA,NA,20,25)
col4 <- c(NA,NA,8,5,NA,NA,22,16)
TD <- data.frame(type,country,year,col1,col2,col3,col4,stringsAsFactors=FALSE)
ui <- fluidPage(
tags$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)
在SELECT输入中禁用空列：
这篇关于闪亮的反应性选择输入R的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！