decrepit_plot_ondemand.R

#
# This is a Shiny web application. You can run the application by clicking
# the 'Run App' button above.
#
# Find out more about building applications with Shiny here:
#
#    http://shiny.rstudio.com/
#

library(shiny)
library(ggplot2)

load(file="./temp_test.RData")

# Define UI for application
ui <- fluidPage(
  
  # Application title
  titlePanel("Plotting on-demand (Gene_LLPSX, Gene_NEUO3, Gene_MQDSR"),
  
  # Sidebar layout with input and output definitions
  sidebarLayout(
    sidebarPanel(
      # Text input
      textInput("input_gene", "Enter gene name:", ""),
      
      # Plot button
      actionButton("plot_button", "Plot")
    ),
    
    # Output: Plot
    mainPanel(
      plotOutput("text_plot")
    )
  )
)

# Define server logic
server <- function(input, output) {
  
  # Render plot when plot button is clicked
  observeEvent(input$plot_button, {
    print("plot button clicked")
    gene <- input$input_gene
    output$text_plot <- renderPlot({
      print("Calling plotting function")
      plot_gene_expression(table, gene)
    })
  })
}

# Run the application 
shinyApp(ui = ui, server = server)

# library(shiny)
# library(tidyverse)
# library(magrittr)
# library(ggpubr)
# library(gridExtra)
# library(grid)
# library(cowplot)
# 
# # Define UI for application
# ui <- fluidPage(
#   
#   # Application title
#   titlePanel("Plotting on-demand"),
#   
#   # Sidebar layout with input and output definitions
#   sidebarLayout(
#     sidebarPanel(
#       # Text input
#       textInput("input_gene", "Enter gene name:", ""),
#       textInput("input_snp", "Enter SNP ID:",""),
#       
#       # Plot button
#       actionButton("plot_button", "Plot")
#     ),
#     
#     # Output: Plot
#     mainPanel(
#       plotOutput("text_plot")
#     )
#   )
# )
# 
# # Define server logic
# server <- function(input, output) {
#   print("loading environment")
#   dataEnv <- new.env()
#   load("~/Downloads/eQTL_website.github.io/website/data/modeling_results/data_for_plotting_on_demand.RData", envir = dataEnv)
#   print("loaded environment")
#   
#   # Render plot when plot button is clicked
#   observeEvent(input$plot_button, {
#     print("plot button clicked")
#     gene <- input$input_gene
#     snp <- input$input_snp
#     output$text_plot <- renderPlot({
#       print("Calling make_reQTL_plot_CPM_3cts")
#       dataEnv$make_reQTL_plot_CPM_3cts(snp, gene, dataEnv)
#     })
#   })
# }
# 
# 
# 
# # Run the application
# shinyApp(ui = ui, server = server)