Related
I have the following app created in shiny using shinydashboard
library(shiny)
library(shinydashboard)
production_data <- data.frame(Variable = c('GDP', 'IP', 'Manufacturing'),
Value = c(1,2,3)) %>%
as_tibble()
housing_data <- data.frame(Variable = c('Prices', 'Sales', 'Mortgages'),
Value = c(1,2,3)) %>%
as_tibble()
ui <- dashboardPage(
dashboardHeader(title = 'Dashboard'),
dashboardSidebar(sidebarMenu(
menuItem(tabName = 'Panel1', text = 'Heatmaps'),
menuItem(tabName = 'Panel2', text = 'Linecharts')
)
),
dashboardBody(tabItems(tabItem(tabName = 'Panel1',
fluidRow(box(selectizeInput('select', 'Select Variable',
choices = production_data %>% select(Variable)
), height=80,width=4,
)
),
fluidRow(tabBox(
id = 'tabset1', width = 13, height = 655,
tabPanel('Production', height = 655),
tabPanel('Housing', height = 655)
)
)
)
)
)
)
server <- function(input, output) {
}
shinyApp(ui, server)
I'm trying to dynamically select the inputs in my selectizeInput (Line 21) depending on which tabPanel selected. For example, if I have the Production tab selected (line 28), I want to pass the production_data dataframe as the options in selectizeInput placeholder. Similarly, I want the housing_data dataframe to be selected if I'm on the housing tab (line 29).
Is there a way to dynamically select the dataframe in line 22 (it's currently just production_data) depending on which tab I'm on in the app?
Using an updateSelectizeInput inside an observer you could do:
library(shiny)
library(shinydashboard)
library(tibble)
production_data <- data.frame(
Variable = c("GDP", "IP", "Manufacturing"),
Value = c(1, 2, 3)
) %>%
as_tibble()
housing_data <- data.frame(
Variable = c("Prices", "Sales", "Mortgages"),
Value = c(1, 2, 3)
) %>%
as_tibble()
ui <- dashboardPage(
dashboardHeader(title = "Dashboard"),
dashboardSidebar(sidebarMenu(
menuItem(tabName = "Panel1", text = "Heatmaps"),
menuItem(tabName = "Panel2", text = "Linecharts")
)),
dashboardBody(tabItems(tabItem(
tabName = "Panel1",
fluidRow(box(selectizeInput("select", "Select Variable",
choices = production_data %>% select(Variable)
), height = 80, width = 4, )),
fluidRow(tabBox(
id = "tabset1", width = 13, height = 655,
tabPanel("Production", height = 655),
tabPanel("Housing", height = 655)
))
)))
)
server <- function(input, output) {
observe({
choices <- if (input$tabset1 == "Production") {
unique(production_data$Variable)
} else {
unique(housing_data$Variable)
}
updateSelectizeInput(inputId = "select", choices = choices)
})
}
shinyApp(ui, server)
I designed a Shiny app with a DT that can detect if the input fields changes and automatically update the values. Below is a screen shot and my code. This app works as I expected. When running this app, values are updated accordingly in DT based on the input values.
# Load the packages
library(tidyverse)
library(shiny)
library(DT)
# Create an empty data frame
dat <- tibble(
Input = c("SliderInput", "RadioButtons", "TextInput"),
Value = NA_character_
)
ui <- fluidPage(
titlePanel("DT: Document the Input Values"),
sidebarLayout(
sidebarPanel = sidebarPanel(
# The input widgets
sliderInput(inputId = "Slider", label = "The SliderInput", min = 1, max = 10, value = 5),
br(),
radioButtons(inputId = "Radio", label = "The RadioButtons", choices = c("A", "B", "C")),
br(),
textInput(inputId = "Text", label = "The TextInput", value = "Enter text ...")
),
mainPanel = mainPanel(
# The datatable
DTOutput(outputId = "d1")
)
)
)
server <- function(input, output, session){
# Save the dat to a reactive object
dat_save <- reactiveValues(df = dat)
output$d1 <- renderDT(dat, options = list(pageLength = 5), editable = TRUE, rownames = TRUE)
# Save the condition of the data table d1
d1_proxy <- dataTableProxy("d1")
# Edit the data table
observeEvent(input$d1_cell_edit, {
dat_save$df <- editData(dat_save$df, input$d1_cell_edit, d1_proxy)
})
# Update the input numbers for each cell
observeEvent(input$Slider, {
dat_save$df[1, "Value"] <- as.character(input$Slider)
})
observeEvent(input$Radio, {
dat_save$df[2, "Value"] <- input$Radio
})
observeEvent(input$Text, {
dat_save$df[3, "Value"] <- input$Text
})
observe({
replaceData(d1_proxy, dat_save$df, resetPaging = FALSE)
})
}
shinyApp(ui, server)
However, when I transferred the same code to a shinydahsboard with more than one tab. The DT cannot update the values when first initialize the app. Below is a screenshot and the code.
# Load the packages
library(tidyverse)
library(shiny)
library(shinydashboard)
library(DT)
# Create an empty data frame
dat <- tibble(
Input = c("SliderInput", "RadioButtons", "TextInput"),
Value = NA_character_
)
ui <- function(request) {
dashboardPage(
# The header panel
header = dashboardHeader(title = ""),
# The sidebar panel
sidebar = dashboardSidebar(
# The sidebar manual
sidebarMenu(
id = "tabs",
# Tab 1
menuItem(
text = "Tab1",
tabName = "Tab1"
),
# Tab 2
menuItem(
text = "DT Example",
tabName = "DT_E"
)
)),
# The main panel
body = dashboardBody(
tabItems(
tabItem(
# The tab name
tabName = "Tab1",
h2("Placeholder")
),
# Tab 2: DT example
tabItem(
# The tab name
tabName = "DT_E",
h2("DT: Document the Input Values"),
sidebarPanel(
# The input widgets
sliderInput(inputId = "Slider", label = "The SliderInput", min = 1, max = 10, value = 5),
br(),
radioButtons(inputId = "Radio", label = "The RadioButtons", choices = c("A", "B", "C")),
br(),
textInput(inputId = "Text", label = "The TextInput", value = "Enter text ...")
),
# The datatable
DTOutput(outputId = "d1")
)
)
)
)
}
server <- function(input, output, session){
# Save the dat to a reactive object
dat_save <- reactiveValues(df = dat)
output$d1 <- renderDT(dat, options = list(pageLength = 5), editable = TRUE, rownames = TRUE)
# Save the condition of the data table d1
d1_proxy <- dataTableProxy("d1")
# Edit the data table
observeEvent(input$d1_cell_edit, {
dat_save$df <- editData(dat_save$df, input$d1_cell_edit, d1_proxy)
})
# Update the input numbers for each cell
observeEvent(input$Slider, {
dat_save$df[1, "Value"] <- as.character(input$Slider)
})
observeEvent(input$Radio, {
dat_save$df[2, "Value"] <- input$Radio
})
observeEvent(input$Text, {
dat_save$df[3, "Value"] <- input$Text
})
observe({
replaceData(d1_proxy, dat_save$df, resetPaging = FALSE)
})
}
shinyApp(ui, server)
Notice that if there is only one tab in the shinydashboard, the DT will work. If changed any input values after initializing the app, the DT will also work. But it is a mystery to me why the DT cannot work in the first place when the shinydashboard has multiple tabs. Any suggestions or comments would be great.
After further search, I found a solution from this post and this post. For some reasons, the default setting for shinydashboard is to ignore hidden objects starting the second tab. In my case, adding outputOptions(output, "d1", suspendWhenHidden = FALSE) solves the issue. Below is the complete code.
# Load the packages
library(tidyverse)
library(shiny)
library(shinydashboard)
library(DT)
# Create an empty data frame
dat <- tibble(
Input = c("SliderInput", "RadioButtons", "TextInput"),
Value = NA_character_
)
ui <- function(request) {
dashboardPage(
# The header panel
header = dashboardHeader(title = ""),
# The sidebar panel
sidebar = dashboardSidebar(
# The sidebar manual
sidebarMenu(
id = "tabs",
# Tab 1
menuItem(
text = "Tab1",
tabName = "Tab1"
),
# Tab 2
menuItem(
text = "DT Example",
tabName = "DT_E"
)
)),
# The main panel
body = dashboardBody(
tabItems(
tabItem(
# The tab name
tabName = "Tab1",
h2("Placeholder")
),
# Tab 2: DT example
tabItem(
# The tab name
tabName = "DT_E",
h2("DT: Document the Input Values"),
sidebarPanel(
# The input widgets
sliderInput(inputId = "Slider", label = "The SliderInput", min = 1, max = 10, value = 5),
br(),
radioButtons(inputId = "Radio", label = "The RadioButtons", choices = c("A", "B", "C")),
br(),
textInput(inputId = "Text", label = "The TextInput", value = "Enter text ...")
),
# The datatable
DTOutput(outputId = "d1")
)
)
)
)
}
server <- function(input, output, session){
# Save the dat to a reactive object
dat_save <- reactiveValues(df = dat)
output$d1 <- renderDT(dat, options = list(pageLength = 5), editable = TRUE, rownames = TRUE)
outputOptions(output, "d1", suspendWhenHidden = FALSE)
# Save the condition of the data table d1
d1_proxy <- dataTableProxy("d1")
# Edit the data table in tab 3
observeEvent(input$d1_cell_edit, {
dat_save$df <- editData(dat_save$df, input$d1_cell_edit, d1_proxy)
})
# Update the input numbers for each cell
observeEvent(input$Slider, {
dat_save$df[1, "Value"] <- as.character(input$Slider)
})
observeEvent(input$Radio, {
dat_save$df[2, "Value"] <- input$Radio
})
observeEvent(input$Text, {
dat_save$df[3, "Value"] <- input$Text
})
observe({
replaceData(d1_proxy, dat_save$df, resetPaging = FALSE)
})
}
shinyApp(ui, server)
I want to build an app by shinydashboard that work like this:
textInput
Submit actionbutton to update value box based in input text
valuebox (to show input text)
Tabbox with 5 tabpanel
Each tabpanel has histogram with different data and rendered by Highcharter
VerbatimTextOutput to indivate which tabpanel chosen
This is my code:
library(shiny)
library(shinydashboard)
library(highcharter)
### Data ================================================
set.seed(1)
Ext <- round(rnorm(500,runif(1,25,35),runif(1,4,12)))
set.seed(2)
Con <- round(rnorm(500,runif(1,25,35),runif(1,4,12)))
set.seed(3)
Agr <- round(rnorm(500,runif(1,25,35),runif(1,4,12)))
set.seed(4)
Emo <- round(rnorm(500,runif(1,25,35),runif(1,4,12)))
set.seed(5)
Int <- round(rnorm(500,runif(1,25,35),runif(1,4,12)))
### Apps Atribut ========================================
header <- dashboardHeader(
title = "IPIP-BFM-50"
)
sidebar <- dashboardSidebar()
body <- dashboardBody(
fluidRow(
box(
textInput(
"unicode",
"Your Unique ID:",
placeholder = "Input your unique ID here"
),
actionButton(
"ab1_unicode",
"Submit"
),
width = 6
),
tags$head(tags$style(HTML(".small-box {height: 130px}"))),
valueBoxOutput(
"vbox1_unicode",
width = 6
)
),
fluidRow(
tabBox(
title = "Dimensi Big-Five Marker",
id = "tabset1",
height = "500px",
width = 12,
tabPanel(
"Extraversion",
"This is Extraversion",
highchartOutput(
"hist"
)
),
tabPanel(
"Conscientiousness",
"This is Conscientiousness",
highchartOutput(
"hist"
)
),
tabPanel(
"Agreeableness",
"This is Agreeableness",
highchartOutput(
"hist"
)
),
tabPanel(
"Emotional Stability",
"This is Emotional Stability",
highchartOutput(
"hist"
)
),
tabPanel(
"Intelligent",
"This is Intelligent",
highchartOutput(
"hist"
)
)
)
),
fluidRow(
box(
"Personality in a nutshell", br(),
"Second row of personality explanation",
verbatimTextOutput(
"tabset1selected"
),
width = 12,
height = "250px"
)
)
)
### Atribut server
### Apps ================================================
ui <- dashboardPage(header, sidebar, body)
server <- function(input, output){
update_unicode <- eventReactive(input$ab1_unicode,{
input$unicode
}, ignoreNULL = F)
output$vbox1_unicode <- renderValueBox({
valueBox(
update_unicode(),
"Your Unique ID",
icon = icon("fingerprint")
)
})
dimension <- function(dim){
if(dim == "Extraversion"){
Ext
} else if(dim == "Conscientiousness"){
Con
} else if(dim == "Agreeableness"){
Agr
} else if(dim == "Emotional Stability"){
Emo
} else if(dim == "Intelligent"){
Int
}
}
output$hist <- renderHighchart({
hchart(
dimension(input$tabset1)
) %>%
hc_xAxis(
list(
title = list(
text = "Data"
),
plotBands = list(
color = '#3ac9ad',
from = update_unicode,
to = update_unicode,
label = list(
text = "Your Score",
color = "#9e9e9e",
align = ifelse(update_unicode>30,"right","left"),
x = ifelse(update_unicode>30,-10,+10)
)
)
)
)
})
output$tabset1selected <- renderText({
input$tabset1
})
}
shinyApp(ui = ui,server = server)
Problems:
valuebox dissapear
highchart didn't appear
I made only 1 histogram with conditions to save the efeciency. but it looks didn't work well.
This is what the result looked like
Please help me guys
The issue is that the the binding between an id in the UI and on the server side has to be unique. However, in your dashboard the id="hist" appears more than once in the UI, i.e. you have a duplicated binding.
This could be seen by 1. opening the dashboard in the Browser, 2. opening the dev tools 3. having a look the console output which shows a JS error message "Duplicate binding for id hist".
Not sure about your final result but to solve this issue you could e.g. add one highchartOutput per panel. To this end:
I have put the plotting code in a separate function make_hc
Added an highchartOutput for each of your panels or datasets, e.g.
output$hist1 <- renderHighchart({
make_hc("Extraversion", update_unicode())
})
This way we get 5 outputs with unique ids which could be put inside the respective panels in the UI.
Full reproducible code:
library(shiny)
library(shinydashboard)
library(highcharter)
### Data ================================================
set.seed(1)
Ext <- round(rnorm(500,runif(1,25,35),runif(1,4,12)))
set.seed(2)
Con <- round(rnorm(500,runif(1,25,35),runif(1,4,12)))
set.seed(3)
Agr <- round(rnorm(500,runif(1,25,35),runif(1,4,12)))
set.seed(4)
Emo <- round(rnorm(500,runif(1,25,35),runif(1,4,12)))
set.seed(5)
Int <- round(rnorm(500,runif(1,25,35),runif(1,4,12)))
### Apps Atribut ========================================
header <- dashboardHeader(
title = "IPIP-BFM-50"
)
sidebar <- dashboardSidebar()
body <- dashboardBody(
fluidRow(
box(
textInput(
"unicode",
"Your Unique ID:",
placeholder = "Input your unique ID here"
),
actionButton(
"ab1_unicode",
"Submit"
),
width = 6
),
tags$head(tags$style(HTML(".small-box {height: 130px}"))),
valueBoxOutput(
"vbox1_unicode",
width = 6
)
),
fluidRow(
tabBox(
title = "Dimensi Big-Five Marker",
id = "tabset1",
height = "500px",
width = 12,
tabPanel(
"Extraversion",
"This is Extraversion",
highchartOutput(
"hist1"
)
),
tabPanel(
"Conscientiousness",
"This is Conscientiousness",
highchartOutput(
"hist2"
)
),
tabPanel(
"Agreeableness",
"This is Agreeableness",
highchartOutput(
"hist3"
)
),
tabPanel(
"Emotional Stability",
"This is Emotional Stability",
highchartOutput(
"hist4"
)
),
tabPanel(
"Intelligent",
"This is Intelligent",
highchartOutput(
"hist5"
)
)
)
),
fluidRow(
box(
"Personality in a nutshell", br(),
"Second row of personality explanation",
verbatimTextOutput(
"tabset1selected"
),
width = 12,
height = "250px"
)
)
)
### Atribut server
### Apps ================================================
ui <- dashboardPage(header, sidebar, body)
server <- function(input, output){
update_unicode <- eventReactive(input$ab1_unicode,{
input$unicode
}, ignoreNULL = F)
output$vbox1_unicode <- renderValueBox({
valueBox(
update_unicode(),
"Your Unique ID",
icon = icon("fingerprint")
)
})
dimension <- function(dim){
if(dim == "Extraversion"){
Ext
} else if(dim == "Conscientiousness"){
Con
} else if(dim == "Agreeableness"){
Agr
} else if(dim == "Emotional Stability"){
Emo
} else if(dim == "Intelligent"){
Int
}
}
make_hc <- function(x, update_unicode) {
hchart(
dimension(x)
) %>%
hc_xAxis(
list(
title = list(
text = "Data"
),
plotBands = list(
color = '#3ac9ad',
from = update_unicode,
to = update_unicode,
label = list(
text = "Your Score",
color = "#9e9e9e",
align = ifelse(update_unicode>30,"right","left"),
x = ifelse(update_unicode>30,-10,+10)
)
)
)
)
}
output$hist1 <- renderHighchart({
make_hc("Extraversion", update_unicode())
})
output$hist2 <- renderHighchart({
make_hc("Conscientiousness", update_unicode())
})
output$hist3 <- renderHighchart({
make_hc("Agreeableness", update_unicode())
})
output$hist4 <- renderHighchart({
make_hc("Emotional Stability", update_unicode())
})
output$hist5 <- renderHighchart({
make_hc("Intelligent", update_unicode())
})
output$tabset1selected <- renderText({
input$tabset1
})
}
shinyApp(ui = ui,server = server)
I have a shinydashboard app with two different tab panels. Each tab has different input values and both of them generate a graph when an action button is clicked.
Whenever I switch between these tabs, their respective graphs disappear and input values are reset to default.
I want to keep the tabs in their user modified states (i.e keep both graphs and inputs) even when the user decides to switch between the panels.
Code
library(shiny)
library(shinydashboard)
ui <- fluidPage(
dashboardPage(
dashboardHeader(title = "DASHBOARD"),
dashboardSidebar(
uiOutput("mysidebar"),
),
dashboardBody(
tabsetPanel(type = "tabs", id = "tab",
tabPanel("Tab1", fluid = TRUE, value = 1,plotOutput("A")),
tabPanel("Tab2", fluid = TRUE, value = 2, plotOutput("B"))
)
)
)
)
server <- function(input, output, session){
output$mysidebar <- renderUI({
if(input$tab == 1){
tagList(
sliderInput(inputId = "Sample",
label = "Enter Number of Samples:",
min = 1000, max = 100000,
value = 10000),
fluidRow(
column(6,
actionButton(inputId = "b1", label = "Generate"))
)}
if(input$tab == 2){
tagList(
sliderInput(inputId = "Weight",
label = "Enter Weight:",
value = 100),
fluidRow(
column(6,
actionButton(inputId = "b2", label = "Generate"))
)}
p1<- eventReactive(input$b1, {
#creating a dataframe using input "Sample" in tab1 - Rough example
df <- input$Sample
})
output$SA <- renderPlot({
plot(df)
})
p2 <- eventReactive(input$b2, {
#creating a dataframe using input "Weight" in tab2-- Rough example
df2 <- input$Weight
})
output$A <- renderPlot({
plot(p1())
})
output$B <- renderPlot({
plot(p2())
})
}
I'd much rather you use show and hide functionality within shinyjs package like example below, this way the values will be preserved when you switch between the Tabs
library(shiny)
library(shinyjs)
library(shinydashboard)
ui <- fluidPage(
dashboardPage(
dashboardHeader(title = "DASHBOARD"),
dashboardSidebar(
useShinyjs(),
sliderInput("Sample","Enter Number of Samples:",min = 1000, max = 100000,value = 10000),
sliderInput("Weight","Enter Weight:",min = 1, max = 1000,value = 100),
fluidRow(column(6,actionButton("b1","Generate"),actionButton("b2","Generate")))
),
dashboardBody(
tabsetPanel(type = "tabs", id = "tab",
tabPanel("Tab1", fluid = TRUE, value = 1,plotOutput("A")),
tabPanel("Tab2", fluid = TRUE, value = 2, plotOutput("B"))
)
)
)
)
server <- function(input, output, session){
observe({
if(input$tab == 1){
show("Sample")
show("b1")
hide("Weight")
hide("b2")
}
if(input$tab == 2){
hide("Sample")
hide("b1")
show("Weight")
show("b2")
}
})
p1<- eventReactive(input$b1,{
df <- rnorm(input$Sample)
})
output$SA <- renderPlot({
plot(df)
})
p2 <- eventReactive(input$b2,{
df2 <- rnorm(input$Weight)
})
output$A <- renderPlot({plot(p1())})
output$B <- renderPlot({plot(p2())})
}
shinyApp(ui, server)
The following code keeps the plots and inputs, by using reactiveValues.
library(shiny)
library(shinydashboard)
ui <- dashboardPage(dashboardHeader(title = "DASHBOARD"),
dashboardSidebar(
uiOutput("mysidebar")
),
dashboardBody(
tabsetPanel(type = "tabs", id = "tab",
tabPanel("Tab1", value = 1,plotOutput("SA")),
tabPanel("Tab2", value = 2, plotOutput("SA1"))
)
)
)
server <- function(input, output, session){
slider_react <- reactiveValues(b1=10000, b2 = 100)
observe({
if (input$tab == 1){
output$mysidebar <- renderUI({
tagList(
sliderInput(inputId = "Sample",
label = "Enter Number of Samples:",
min = 1000, max = 100000,
# value = 10000),
value = slider_react$b1),
actionButton(inputId = "b1", label = "Generate"))
})
}
if(input$tab == 2){
output$mysidebar <- renderUI({
tagList(
sliderInput(inputId = "Weight",
label = "Enter Weight:",
min=0, max=1000,
# value = 100),
value = slider_react$b2),
actionButton(inputId = "b2", label = "Generate"))
})
}
})
df_react <- reactiveValues(a1=NULL, a2=NULL)
p1<- observeEvent(input$b1, {
#creating a dataframe using input "Sample" in tab1 - Rough example
df <- runif(input$Sample, 0, 100)
slider_react$b1 = input$Sample
df_react$a1 = df
})
p2 <- observeEvent(input$b2, {
#creating a dataframe using input "Weight" in tab2-- Rough example
df2 <- runif(input$Weight, 0, 100)
slider_react$b2 = input$Weight
df_react$a2 = df2
})
output$SA <- renderPlot({
req(df_react$a1)
plot(df_react$a1)
})
output$SA1 <- renderPlot({
req(df_react$a2)
plot(df_react$a2)
})
}
shinyApp(ui, server)
I am working on a Shiny App that uses rhandsontable and I would like to provide the user an option to save and load the progress. A minimal example of my code is as follows:
library(shinydashboard)
library(shiny)
library(data.table)
library(rhandsontable)
library(markdown)
sidebar <- dashboardSidebar(
sidebarMenu(
menuItem("Data", tabName = "data", icon = icon("file")),
menuItem("Control", tabName = "control", icon = icon("list-alt"))
)
)
body <- dashboardBody(
tabItems(
tabItem(tabName = "data",
fluidRow(
box(title = h3("Input data manually or by importing a .csv file:"),
#fileInput("file1", "Choose CSV File:", width = '30%',
# multiple = TRUE,
# accept = c("text/csv",
# "text/comma-separated-values,text/plain",
# ".csv")),
width = 12, height = 800, rHandsontableOutput("hot"))
)
),
tabItem(tabName = "control",
fluidRow(
actionButton("save", "Save"), actionButton("load", "Load"),
box(title = h2("1. General Information"), width = '100%',
radioButtons("Type",
h4("Type:"),
choices = list("1" = "1", "2" = "2")),
radioButtons("DataExtraction",
h4("Extract information:"),
choices = list("Yes" = "Yes", "No" = "No"), selected = "No")
)
)
)
)
)
ui <- dashboardPage(
dashboardHeader(title = "Shiny"),
sidebar,
body
)
server <- function(input, output, session) {
observeEvent(input$load,{
values <<- readRDS("C:/Documents/ws1.RData")
if (exists("values")) {
lapply(names(values),
function(x) session$sendInputMessage(x, list(value = values[[x]]))
)
}
})
observeEvent(input$save,{
values <<- lapply(reactiveValuesToList(input), unclass)
saveRDS( values , file = "C:/Documents/ws1.RData")
})
filedata <- reactive({
inFile <- input$file1
if (is.null(inFile)){
data.table(Number1 = numeric(20),
Number2 = numeric(20),
Date1 = seq(from = Sys.Date(), by = "days", length.out = 20),
Date2 = seq(from = Sys.Date(), by = "days", length.out = 20))
} else{
fread(input$file1$datapath)
}
})
output$hot = renderRHandsontable({
rhandsontable(filedata()) %>%
hot_cols(columnSorting = TRUE) %>%
hot_table(highlightCol = TRUE, highlightRow = TRUE)
})
}
shinyApp(ui, server)
I am encountering two issues:
When I include the fileInput("file1", ...), the inputs do not update
anymore once I click the load action button;
The Rhandsontable is not updated. However, when I look into values$hot$data, it does seem as if the data is properly stored in values.
Does anyone have an idea of what I am doing wrong?
Thanks!