选择输入启用或禁用操作按钮 - 有问题

Question

我找到了解决方案，但我的代码有问题。

我从 shinyjs 包中找到这个解决方案

前一题可以在这里查看

How to deal with this: A input window and 2 or more actionbutton but different input selected

##########

下面是我的代码，不完整

options(encoding = "UTF-8")
library(stats)
library(openxlsx)
library(shiny)
library(dplyr)
library(tidyr)      
library(ggplot2)
library(gridExtra)  ##  inline the all the plot
library(ggpubr)
library(shinythemes)
library(shinymanager)
library(psych)
library(DT)
library(shinyjs)

mean_data <- data.frame(
  Name = c(paste0("Group_", LETTERS[1:20])),
  matx <- matrix(sample(1:1000, 1000, replace = T), nrow = 20)
)
names(mean_data)[-1] <- c(paste0("Gene_", 1:50))

sd_data <- data.frame(
  Name = c(paste0("Group_", LETTERS[1:20])),
  matx <- matrix(runif(1000, 5, 10), nrow = 20)
)
names(sd_data)[-1] <- c(paste0("Gene_", 1:50))

# Prepare dataset.
#   1. Bind mean and sd data
#   2. Reshape
data <- bind_rows(list(
  mean = mean_data,
  sd = sd_data
), .id = "stat")
data_mean_sd <- data %>%
  pivot_longer(-c(Name, stat), names_to = "Gene", values_to = "value") %>%
  pivot_wider(names_from = "stat", values_from = "value")


data_mean_sd2<-data_mean_sd[data_mean_sd$Gene==paste0("Gene_",1:25),]

###
ui <- fluidPage(
  shinyjs::useShinyjs(),
  
  fluidRow(
    column(8,offset = 3,
           h2("Gene_FPKM Value Barplot")
    )
  ),
  fluidRow(
    column(8,offset = 3,
           selectInput(
             "selectGeneSymbol", 
             "Select Gene Symbol:", 
             choices = unique(data_mean_sd$Gene),
             multiple =F,
             width = 800,
             selected = "Igfbp7"
           ))
  ),
  fluidRow(
    column(8,offset = 3,
           actionButton(inputId = "plot1", label = "FPKM",width=80),
           actionButton(inputId = "plot2", label = "LogFc",width=80),
           actionButton(inputId = "all",label = "FPKM&LogFc",width=120)
    )
  ),
  fluidRow(
    column(3)
  ),
  fluidRow(
    column(3)
  ),
  fluidRow(
    column(12,align="center",
           uiOutput("all")
    )
  )
)

server <- function(input, output,session) {
  
  observeEvent(input$plot2,input$all, {
    if(input$selectGeneSymbol %in% unique(data_mean_sd2$Gene)){
      shinyjs::enable("plot2")
      shinyjs::enable("all")
    }else{
      shinyjs::disable("plot2")
      shinyjs::disable("all")
    }
  })
  
  plot_data1 <- eventReactive(input$plot1, { 
    subset(data_mean_sd, Gene %in% input$selectGeneSymbol)
  })
  
  plot_data2 <- eventReactive(input$plot2, { 
    subset(data_mean_sd2, Gene %in% input$selectGeneSymbol)
  })
  
  global <- reactiveValues(out = NULL)
  

  
  observeEvent(input$plot1, {
    global$out <- plotOutput("plot1", height=600)
  })
  
  observeEvent(input$plot2, {
    global$out <- plotOutput("plot2", height=600)
  })
  
  observeEvent(input$all, {
    global$out <- plotOutput("plot3", height=800)
  })
  
  
  output$all <- renderUI({
    global$out
  })
  
  p1 <- eventReactive(list(input$plot1,
                           input$all), {
    ggplot(data = plot_data1(), aes(x = Name, y = mean,fill=Name)) +
      geom_bar(stat = "identity", position = position_dodge(0.9), width = 0.9) +
      geom_errorbar(aes(ymin = mean - sd, ymax = mean + sd), width = .2, position = position_dodge(0.9)) +
      theme_classic2() +
      rotate_x_text(angle = 45) +
      theme(legend.position = "none") +
      labs(title = input$selectGeneSymbol, x = NULL, y = "FPKM_value") +
      theme(plot.title = element_text(hjust = 0.5)) +
      theme(plot.margin = unit(c(20, 5, 1, 5), "mm"))+
      theme(axis.text.x=element_text(vjust=1,size=12)) 
  })  
  
  p2 <- eventReactive(list(input$plot2,
                           input$all), {
    ggplot(data = plot_data2(), aes(x = Name, y = mean,fill=Name)) +
      geom_bar(stat = "identity", position = position_dodge(0.9), width = 0.9) +
      geom_errorbar(aes(ymin = mean - sd, ymax = mean + sd), width = .2, position = position_dodge(0.9)) +
      theme_classic2() +
      rotate_x_text(angle = 45) +
      theme(legend.position = "none") +
      labs(title = input$selectGeneSymbol, x = NULL, y = "FPKM_value") +
      theme(plot.title = element_text(hjust = 0.5)) +
      theme(plot.margin = unit(c(20, 5, 1, 5), "mm"))+
      theme(axis.text.x=element_text(vjust=1,size=12)) 
  })  
  
  output$plot1 <- renderPlot({ p1() })
  output$plot2 <- renderPlot({ p2() })
  output$plot3 <- renderPlot({ grid.arrange(p1(),p2(), ncol=1) })
  
}

# Create Shiny app ----
shinyApp(ui = ui, server = server)

当我运行我的代码：

错误：

Error in .getReactiveEnvironment()$currentContext() : 
  Operation not allowed without an active reactive context. (You tried to do something that can only be done from inside a reactive expression or observer.)

有人可以帮助我吗？

编辑：2021-03-17 17:26:03：

我刚刚改进了我的代码，它可以更好地工作但并不完美。就像这样：

 observeEvent(input$plot2, {
    if(input$selectGeneSymbol %in% unique(data_mean_sd2$Gene)){
      shinyjs::enable("plot2")
      global$out <- plotOutput("plot2", height=600)
      
    }else{
      shinyjs::disable("plot2")
    }
  })
  
  observeEvent(input$all, {
    if(input$selectGeneSymbol %in% unique(data_mean_sd2$Gene)){
      shinyjs::enable("all")
      global$out <- plotOutput("plot3", height=800)
      
    }else{
      shinyjs::disable("all")
    }
    
  })

如果有人输入基因符号，如果它只在 data_mean_sd2.
中，则可以禁用操作按钮但是我遇到了一个新问题，尽管我 select 一个新基因，但禁用的操作按钮仍然处于禁用状态。所以下一步我必须修改我的代码。

Answer 1

试试这个

ui <- fluidPage(
  shinyjs::useShinyjs(),
  
  fluidRow(
    column(8,offset = 3,
           h2("Gene_FPKM Value Barplot")
    )
  ),
  fluidRow(
    column(8,offset = 3,
           selectInput(
             "selectGeneSymbol", 
             "Select Gene Symbol:", 
             choices = unique(data_mean_sd$Gene),
             multiple =F,
             width = 800,
             selected = "Igfbp7"
           ))
  ),
  fluidRow(
    column(8,offset = 3,
           actionButton(inputId = "plot1", label = "FPKM",width=80),
           actionButton(inputId = "plot2", label = "LogFc",width=80),
           actionButton(inputId = "all",label = "FPKM&LogFc",width=120)
    )
  ),
  fluidRow(
    column(3)
  ),
  fluidRow(
    column(3)
  ),
  fluidRow(
    column(12,align="center",
           uiOutput("plots")
    )
  )
)

server <- function(input, output,session) {
  
  observeEvent(input$selectGeneSymbol, {
    if(sum(unique(data_mean_sd2$Gene) %in% input$selectGeneSymbol)>0) {
      shinyjs::enable("plot2")
      shinyjs::enable("all")
    }else{
      shinyjs::disable("plot2")
      shinyjs::disable("all")
    }
  })
  
  plot_data1 <- eventReactive(list(input$plot1,input$all), { 
    subset(data_mean_sd, Gene %in% input$selectGeneSymbol)
  })
  
  plot_data2 <- eventReactive(list(input$plot2,input$all), { 
    subset(data_mean_sd2, Gene %in% input$selectGeneSymbol)
  })
  
  global <- reactiveValues()
  
  observeEvent(list(input$plot1,input$all), {
               req(plot_data1())
  #p1 <- eventReactive(list(input$plot1,
  #                         input$all), {
                global$p1 <- ggplot(data = plot_data1(), aes(x = Name, y = mean,fill=Name)) +
                               geom_bar(stat = "identity", position = position_dodge(0.9), width = 0.9) +
                               geom_errorbar(aes(ymin = mean - sd, ymax = mean + sd), width = .2, position = position_dodge(0.9)) +
                               theme_classic2() +
                               rotate_x_text(angle = 45) +
                               theme(legend.position = "none") +
                               labs(title = input$selectGeneSymbol, x = NULL, y = "FPKM_value") +
                               theme(plot.title = element_text(hjust = 0.5)) +
                               theme(plot.margin = unit(c(20, 5, 1, 5), "mm"))+
                               theme(axis.text.x=element_text(vjust=1,size=12)) 
                           })  
  
  observeEvent(list(input$plot2,input$all), {
               req(plot_data2())
  #p2 <- eventReactive(list(input$plot2,
  #                         input$all), {
                global$p2 <- ggplot(data = plot_data2(), aes(x = Name, y = mean,fill=Name)) +
                               geom_bar(stat = "identity", position = position_dodge(0.9), width = 0.9) +
                               geom_errorbar(aes(ymin = mean - sd, ymax = mean + sd), width = .2, position = position_dodge(0.9)) +
                               theme_classic2() +
                               rotate_x_text(angle = 45) +
                               theme(legend.position = "none") +
                               labs(title = input$selectGeneSymbol, x = NULL, y = "FPKM_value") +
                               theme(plot.title = element_text(hjust = 0.5)) +
                               theme(plot.margin = unit(c(20, 5, 1, 5), "mm"))+
                               theme(axis.text.x=element_text(vjust=1,size=12)) 
                           })  
  
  output$plt1 <- renderPlot({ global$p1 })
  output$plt2 <- renderPlot({ global$p2 })
  output$plt3 <- renderPlot({ grid.arrange(global$p1,global$p2, ncol=1) })
  
  observeEvent(input$plot1, {
    global$out <- plotOutput("plt1", height=600)
  })
  
  observeEvent(input$plot2, {
    global$out <- plotOutput("plt2", height=600)
  })
  
  observeEvent(input$all, {
    global$out <- plotOutput("plt3", height=800)
  })
  
  
  output$plots <- renderUI({
    global$out
  })
  
}

# Create Shiny app ----
shinyApp(ui = ui, server = server)

选择输入启用或禁用操作按钮 - 有问题

Selectinput enable or disable actionbuttons - has problems

r

shiny

shinyjs