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I want to create an app with R shiny where I load data, display it and then I can make some operations on the data in another tibble/data frame and have the original data displayed in a tab. Additionally I would like to use the data in tibble cells to be used as the value for textInput. Thus far I have come up with this for the UI:

ui <- 
 dashboardPage(
 dashboardHeader(title="NGS library quantification app", titleWidth=500),
 dashboardSidebar(
 menuItem(text = "Raw Data", tabName = "r_data", icon=icon("clipboard")),
 menuItem(text = "User Data", tabName = "u_data", icon=icon("clipboard")),
 menuItem(text = "Analysis", tabName = "analysis", icon=icon("cog", lib = "glyphicon")),
 menuItem(text = "Summary", tabName = "summary", icon=icon("book")),
 collapsed=TRUE),
 dashboardBody(
 tags$head( 
 tags$style(HTML(".main-sidebar font-size: 30px; ")) #change the font size to 30
 ),
 tags$script(
 HTML(
 "
 $(document).ready(function()
 // Bind classes to menu items, easiet to fill in manually
 var ids = ['r_data','u_data','analysis', 'summary'];
 for(i=0; i<ids.length; i++)
 $('a[data-value='+ids[i]+']').addClass('my_subitem_class');
 

 // Register click handeler
 $('.my_subitem_class').on('click',function()
 // Unactive menuSubItems
 $('.my_subitem_class').parent().removeClass('active');
 )
 )
 "
 )
 ),


 tabItems(
#Raw data tab 
tabItem(tabName = "r_data", fileInput(inputId = "file", label = "Choose file"), tableOutput("info"), tableOutput("raw_data")),

#user data tab
tabItem(tabName = "u_data",
 column(textInput("ID1", "Sample ID", value = ""),
 textInput("ID2", "", value = ""),
 textInput("ID3", "", value = ""),
 textInput("ID4", "", value = ""),
 textInput("ID5", "", value = ""),
 textInput("ID6", "", value = ""),
 textInput("ID7", "", value = ""),
 textInput("ID8", "", value = ""),
 width=1), 
 column(numericInput("size1", "library size (bp)", value = NULL, step=1), 
 numericInput("size2", "", value = NULL, step=1),
 numericInput("size3", "", value = NULL, step=1),
 numericInput("size4", "", value = NULL, step=1),
 numericInput("size5", "", value = NULL, step=1),
 numericInput("size6", "", value = NULL, step=1),
 numericInput("size7", "", value = NULL, step=1),
 numericInput("size8", "", value = NULL, step=1),
 width = 2),
 column(numericInput("dil1", "First dilution", value = 100000, step=10000), 
 numericInput("dil2", "", value = 100000, step=10000),
 numericInput("dil3", "", value = 100000, step=10000),
 numericInput("dil4", "", value = 100000, step=10000),
 numericInput("dil5", "", value = 100000, step=10000),
 numericInput("dil6", "", value = 100000, step=10000),
 numericInput("dil7", "", value = 100000, step=10000),
 numericInput("dil8", "", value = 100000, step=10000),
 width = 2),
 column(numericInput("dil9", "Second dilution", value = 250000, step=10000), 
 numericInput("dil10", "", value = 250000, step=10000),
 numericInput("dil11", "", value = 250000, step=10000),
 numericInput("dil12", "", value = 250000, step=10000),
 numericInput("dil13", "", value = 250000, step=10000),
 numericInput("dil14", "", value = 250000, step=10000),
 numericInput("dil15", "", value = 250000, step=10000),
 numericInput("dil6", "", value = 250000, step=10000),
 width = 2),
 column(numericInput("dil17", "Third dilution", value = 500000, step=10000), 
 numericInput("dil18", "", value = 500000, step=10000),
 numericInput("dil19", "", value = 500000, step=10000),
 numericInput("dil20", "", value = 500000, step=10000),
 numericInput("dil21", "", value = 500000, step=10000),
 numericInput("dil22", "", value = 500000, step=10000),
 numericInput("dil23", "", value = 500000, step=10000),
 numericInput("dil24", "", value = 500000, step=10000),
 width = 2),
 column(textInput("check1", "Sample Detected?", "YES"),
 textInput("check2", "", "YES"),
 textInput("check3", "", "YES"),
 textInput("check4", "", "YES"),
 textInput("check5", "", "YES"),
 textInput("check6", "", "YES"),
 textInput("check7", "", "YES"),
 textInput("check8", "", "YES"),
 width = 2) 
 )

and then for the server:

server <- function(input, output, session)

# Reading data from CFX exported file 
 data <- reactive(
 inFile <- input$file
 if(is.null(inFile))
 return(NULL)

 data <- read_excel(paste(inFile$datapath), sheet=1, skip=18, col_types = c("text", "text", "text", 
 "text", "numeric", "numeric", "numeric", 
 "numeric", "numeric"))
 )
ID1 <- reactive(data()[12, 2])
updateTextInput(session, "ID1", value = reactive(ID1())) 

Those are just snippets that I hope will be helpful with evaluating this problem. The problem is that when I then go back to the user data and look at the sample ID rather than seeing the ID of the sample I see what appears to be the code of the ID1 variable? I have no idea what I am doing wrong. I am new to Shiny and can't really troubleshoot this. you can find the app here

And this is the output in the textInput("ID1", "Sample ID", value = ""):

structure(function () ,, .dependents$register(), if (.invalidated , observable = <environment>)

but I was expecting the value in the cell. Any help will be greatly appreciated. Thank you everyone

There are a few changes you need to make:

1. Put your updateTextInput inside an observer. This is because you need to read from a reactive expression, and observe does that.


2. You need to parse ID1() using as.character before being able to display it in your app.

Change your server to the following:

server <- function(input, output, session)

 # Reading data from CFX exported file 
 data <- reactive(
 inFile <- input$file
 if(is.null(inFile))
 return(NULL)

 data <- readxl::read_excel(paste(inFile$datapath), sheet=1, skip=18, 
 col_types = c("text", "text", "text","text", "numeric", 
 "numeric", "numeric","numeric", "numeric"))
 )

 ID1 <- reactive(data()[12, 2])

 observe(
 updateTextInput(session, "ID1", value = as.character(ID1())) 
 )