I am building an app where the user loads an .RData data set (the file can be downloaded from here) and selects variable from a list (DT), moves it to another list (also DT) and then the available factor levels are displayed in a third DT underneath. This third DT also has a column of dynamically generated textInput fields which match the number of available factor levels for the variable where the user can add new values for the existing factor levels. The entered values are stored in a reactiveValues object. For now the object is just printed in the R console. The app looks like this:
library(shiny)
library(DT)
library(data.table)
library(shinyFiles)
ui <- fluidPage(
shinyFilesButton(id = "recodeChooseSrcFile", label = "Choose data file", title = "Navigate and select a file", multiple = FALSE),
fluidRow(
column(width = 6,
DTOutput(outputId = "recodeAllAvailableVars"),
),
column(width = 1, align = "center",
br(), br(), br(), br(), br(), br(), br(), br(), br(), br(),
uiOutput(outputId = "recodeArrowSelVarsRight"),
br(), br(),
uiOutput(outputId = "recodeArrowSelVarsLeft"),
),
column(width = 5,
DTOutput(outputId = "recodeVarsSelection"),
),
br(), br()
),
br(), br(),
DTOutput(outputId = "recodeScheme")
)
server <- function(input, output, session) {
available.volumes <- getVolumes()()
file.var.recode <- reactiveValues(loaded = NULL, var.levels = NULL)
# Select file and extract the variables.
shinyFileChoose(input, "recodeChooseSrcFile", roots = available.volumes, filetype = list(RData = "RData"))
observeEvent(eventExpr = input$recodeChooseSrcFile, {
if(length(parseFilePaths(available.volumes, input$recodeChooseSrcFile)$datapath) > 0) {
file.var.recode$loaded <- get(load(parseFilePaths(available.volumes, input$recodeChooseSrcFile)$datapath))
file.var.recode$var.levels <- Filter(Negate(is.null), lapply(X = file.var.recode$loaded, FUN = function(i) {
if(is.null(attr(x = i, which = "levels"))) {
NULL
} else {
attr(x = i, which = "levels")
}
}))
file.var.recode$loaded <- data.table(Variables = names(file.var.recode$loaded),
order_col = 1:ncol(file.var.recode$loaded))
}
}, ignoreInit = TRUE)
observe({
var.props.initial.available.vars <- data.table(Variables = as.character(), order_col = as.numeric())
var.props.initial.selected.vars <- data.table(Variables = as.character(), order_col = as.numeric())
recodeAllVars <- reactiveValues(recodeAvailVars = var.props.initial.available.vars, recodeSelectedVars = var.props.initial.selected.vars)
# Observe if the file is loaded, and if yes, update the table of available variables.
observe({
if(!is.null(file.var.recode$loaded)) {
recodeAllVars$recodeAvailVars <- file.var.recode$loaded
}
})
# Render the arrow buttons for selecting the variables.
output$recodeArrowSelVarsRight <- renderUI({
if(is.null(file.var.recode$loaded)) {
return(NULL)
} else {
actionButton(inputId = "recodeArrowSelVarsRight", label = NULL, icon("angle-right"), width = "50px")
}
})
output$recodeArrowSelVarsLeft <- renderUI({
if(is.null(file.var.recode$loaded)) {
return(NULL)
} else {
actionButton(inputId = "recodeArrowSelVarsLeft", label = NULL, icon("angle-left"), width = "50px")
}
})
# Render the data table with the available variables.
output$recodeAllAvailableVars <- renderDT({
if(is.null(file.var.recode$loaded)) {
return(NULL)
} else {
setkeyv(x = recodeAllVars$recodeAvailVars, cols = "order_col")
}
},
caption = "Available variables",
rownames = FALSE,
colnames = c("Names", "sortingcol"),
options = list(
ordering = FALSE,
columnDefs = list(list(visible = FALSE, targets = 1))
))
# Render the table with the selected variables.
output$recodeVarsSelection <- renderDT({
if(is.null(file.var.recode$loaded)) {
return(NULL)
} else {
setkeyv(x = recodeAllVars$recodeSelectedVars, cols = "order_col")
}
},
caption = "Available variables",
rownames = FALSE,
colnames = c("Names", "sortingcol"),
options = list(
ordering = FALSE,
columnDefs = list(list(visible = FALSE, targets = 1))
))
# Observe the events of moving variables from available to selected.
observeEvent(input$recodeArrowSelVarsRight, {
req(input$recodeAllAvailableVars_rows_selected)
recodeAllVars$recodeSelectedVars <- rbind(isolate(recodeAllVars$recodeSelectedVars), recodeAllVars$recodeAvailVars[input$recodeAllAvailableVars_rows_selected, , drop = F])
recodeAllVars$recodeSelectedVars <- recodeAllVars$recodeSelectedVars[complete.cases(recodeAllVars$recodeSelectedVars[ , "Variables"]), , drop = FALSE]
recodeAllVars$recodeAvailVars <- isolate(recodeAllVars$recodeAvailVars[-input$recodeAllAvailableVars_rows_selected, , drop = F])
})
observeEvent(input$recodeArrowSelVarsLeft, {
req(input$recodeVarsSelection_rows_selected)
recodeAllVars$recodeAvailVars <- rbind(isolate(recodeAllVars$recodeAvailVars), recodeAllVars$recodeSelectedVars[input$recodeVarsSelection_rows_selected, , drop = F])
recodeAllVars$recodeAvailVars <- recodeAllVars$recodeAvailVars[complete.cases(recodeAllVars$recodeAvailVars[ , "Variables"]), , drop = FALSE]
recodeAllVars$recodeSelectedVars <- isolate(recodeAllVars$recodeSelectedVars[-input$recodeVarsSelection_rows_selected, , drop = F])
})
# Render the table with the text inputs.
initial.recode.new.values <- reactiveValues(values = NULL)
entered.new.values <- reactiveValues(values = NULL)
new.recoding.values <- reactiveValues(values = NULL)
shinyInput <- function(obj) {
tmp <- unlist(lapply(X = seq_along(obj), FUN = function(i) {
i <- paste0(textInput(inputId = paste0("numinp", i), label = NULL, value = NULL, width = "50px"))
}))
return(tmp)
}
shinyValue <- function(id, len) {
unlist(lapply(seq_len(len), function(i) {
input[[paste0(id, i)]]
}))
}
# Observe the changes in user selection and update the reactive values from above.
observe({
initial.recode.new.values$values <- unlist(unique(file.var.recode$var.levels[recodeAllVars$recodeSelectedVars[ , Variables]]))
entered.new.values$values <- data.table(
V1 = initial.recode.new.values$values,
V2 = initial.recode.new.values$values,
V3 = rep(x = "->", times = length(initial.recode.new.values$values)),
V4 = shinyInput(unlist(unique(file.var.recode$var.levels[recodeAllVars$recodeSelectedVars[ , Variables]])))
)
new.recoding.values$values <- shinyValue(id = "numinp", len = length(unlist(unique(file.var.recode$var.levels[recodeAllVars$recodeSelectedVars[ , Variables]]))))
})
# Render the table with available levels and empty input fields where the user can enter his desired new values.
output$recodeScheme <- renderDT({
if(!is.null(unlist(unique(file.var.recode$var.levels[recodeAllVars$recodeSelectedVars[ , Variables]])))) {
entered.new.values$values
} else {
return(NULL)
}
},
rownames = FALSE,
colnames = c("Available variable values", "Old", "->", "New"),
class = "cell-border stripe;compact cell-border;",
selection="none",
escape = FALSE,
options = list(
pageLength = 1500,
dom = 'BRrt',
rowCallback = JS("function(r,d) {$(r).attr('height', '40px')}"),
preDrawCallback = JS('function() { Shiny.unbindAll(this.api().table().node()); }'),
drawCallback = JS('function() { Shiny.bindAll(this.api().table().node()); } ')))
observe({
print(new.recoding.values$values)
})
})
}
shinyApp(ui, server)
It all works fine when the variable is selected, the newly entered values are immediately updated and shown in the console on every key stroke. However, if the user decides to remove the variable from the DT of selected ones, the new.recoding.values$values reactive value becomes immediately NULL (as intended), but when another variable is added to the DT of selected variables, the old values for the previous variable are immediately brought back and never get updated. In addition, if the new variable has more levels than the first entered, then the last is possible to update, but not the previous ones (try entering ASBG03, then replace it with ASBG04 to see what I mean).
I don't really understand why is this happening. What I tried so far is to explicitly set the new.recoding.values$values to NULL in:
1.The observer where it is generated, before the shinyValue function is ran.
2.In the observeEvent where the right arrow button is pressed, i.e.:
observeEvent(input$recodeArrowSelVarsLeft, {
req(input$recodeVarsSelection_rows_selected)
recodeAllVars$recodeAvailVars <- rbind(isolate(recodeAllVars$recodeAvailVars),
recodeAllVars$recodeSelectedVars[input$recodeVarsSelection_rows_selected, , drop = F])
recodeAllVars$recodeAvailVars <- recodeAllVars$recodeAvailVars[complete.cases(recodeAllVars$recodeAvailVars[ , "Variables"]), , drop = FALSE]
recodeAllVars$recodeSelectedVars <- isolate(recodeAllVars$recodeSelectedVars[-input$recodeVarsSelection_rows_selected, , drop = F])
new.recoding.values$values <- NULL
})
UPDATE:
3.Following Tonio Liebrand's advice, I tried to update the text inputs as follow (added just after rendering the last DT):
observe({
if(nrow(entered.new.values$values) == 0) {
lapply(seq_len(length(unlist(unique(file.var.recode$var.levels[recodeAllVars$recodeSelectedVars[ , Variables]])))), function(i) {
updateTextInput(session,
input[[paste0("numinp", i)]],
value = NULL,
label = NULL)
})
}
})
None of these helped. Every time I remove the variable selected at first, the new.recoding.values$values is printed as NULL in the console, but then adding another variable new.recoding.values$values suddenly recovers the first values entered first, like it still "remembers" the first input.
I don't really understand this behavior can someone help to overcome this, i.e. really update on variable change?
Because the textFields are created within the datatable, you need to unbind before you use the table again (updateTextInput doesn't work). Using the code from this answer, I added the JS script with the unbind function and the function is called in the observer for the left arrow. Then you get a working app:
library(shiny)
library(DT)
library(data.table)
library(shinyFiles)
ui <- fluidPage(
tags$head(tags$script(
HTML(
"Shiny.addCustomMessageHandler('unbindDT', function(id) {
var $table = $('#'+id).find('table');
if($table.length > 0){
Shiny.unbindAll($table.DataTable().table().node());
}
})")
)),
shinyFilesButton(id = "recodeChooseSrcFile", label = "Choose data file", title = "Navigate and select a file", multiple = FALSE),
fluidRow(
column(width = 6,
DTOutput(outputId = "recodeAllAvailableVars"),
),
column(width = 1, align = "center",
br(), br(), br(), br(), br(), br(), br(), br(), br(), br(),
uiOutput(outputId = "recodeArrowSelVarsRight"),
br(), br(),
uiOutput(outputId = "recodeArrowSelVarsLeft"),
),
column(width = 5,
DTOutput(outputId = "recodeVarsSelection"),
),
br(), br()
),
br(), br(),
DTOutput(outputId = "recodeScheme")
)
server <- function(input, output, session) {
available.volumes <- getVolumes()()
file.var.recode <- reactiveValues(loaded = NULL, var.levels = NULL)
# Select file and extract the variables.
shinyFileChoose(input, "recodeChooseSrcFile", roots = available.volumes, filetype = list(RData = "RData"))
observeEvent(eventExpr = input$recodeChooseSrcFile, {
if(length(parseFilePaths(available.volumes, input$recodeChooseSrcFile)$datapath) > 0) {
file.var.recode$loaded <- get(load(parseFilePaths(available.volumes, input$recodeChooseSrcFile)$datapath))
file.var.recode$var.levels <- Filter(Negate(is.null), lapply(X = file.var.recode$loaded, FUN = function(i) {
if(is.null(attr(x = i, which = "levels"))) {
NULL
} else {
attr(x = i, which = "levels")
}
}))
file.var.recode$loaded <- data.table(Variables = names(file.var.recode$loaded),
order_col = 1:ncol(file.var.recode$loaded))
}
}, ignoreInit = TRUE)
observe({
var.props.initial.available.vars <- data.table(Variables = as.character(), order_col = as.numeric())
var.props.initial.selected.vars <- data.table(Variables = as.character(), order_col = as.numeric())
recodeAllVars <- reactiveValues(recodeAvailVars = var.props.initial.available.vars, recodeSelectedVars = var.props.initial.selected.vars)
# Observe if the file is loaded, and if yes, update the table of available variables.
observe({
if(!is.null(file.var.recode$loaded)) {
recodeAllVars$recodeAvailVars <- file.var.recode$loaded
}
})
# Render the arrow buttons for selecting the variables.
output$recodeArrowSelVarsRight <- renderUI({
if(is.null(file.var.recode$loaded)) {
return(NULL)
} else {
actionButton(inputId = "recodeArrowSelVarsRight", label = NULL, icon("angle-right"), width = "50px")
}
})
output$recodeArrowSelVarsLeft <- renderUI({
if(is.null(file.var.recode$loaded)) {
return(NULL)
} else {
actionButton(inputId = "recodeArrowSelVarsLeft", label = NULL, icon("angle-left"), width = "50px")
}
})
# Render the data table with the available variables.
output$recodeAllAvailableVars <- renderDT({
if(is.null(file.var.recode$loaded)) {
return(NULL)
} else {
setkeyv(x = recodeAllVars$recodeAvailVars, cols = "order_col")
}
},
caption = "Available variables",
rownames = FALSE,
colnames = c("Names", "sortingcol"),
options = list(
ordering = FALSE,
columnDefs = list(list(visible = FALSE, targets = 1))
))
# Render the table with the selected variables.
output$recodeVarsSelection <- renderDT({
if(is.null(file.var.recode$loaded)) {
return(NULL)
} else {
setkeyv(x = recodeAllVars$recodeSelectedVars, cols = "order_col")
}
},
caption = "Available variables",
rownames = FALSE,
colnames = c("Names", "sortingcol"),
options = list(
ordering = FALSE,
columnDefs = list(list(visible = FALSE, targets = 1))
))
# Observe the events of moving variables from available to selected.
observeEvent(input$recodeArrowSelVarsRight, {
req(input$recodeAllAvailableVars_rows_selected)
recodeAllVars$recodeSelectedVars <- rbind(isolate(recodeAllVars$recodeSelectedVars), recodeAllVars$recodeAvailVars[input$recodeAllAvailableVars_rows_selected, , drop = F])
recodeAllVars$recodeSelectedVars <- recodeAllVars$recodeSelectedVars[complete.cases(recodeAllVars$recodeSelectedVars[ , "Variables"]), , drop = FALSE]
recodeAllVars$recodeAvailVars <- isolate(recodeAllVars$recodeAvailVars[-input$recodeAllAvailableVars_rows_selected, , drop = F])
})
observeEvent(input$recodeArrowSelVarsLeft, {
req(input$recodeVarsSelection_rows_selected)
recodeAllVars$recodeAvailVars <- rbind(isolate(recodeAllVars$recodeAvailVars), recodeAllVars$recodeSelectedVars[input$recodeVarsSelection_rows_selected, , drop = F])
recodeAllVars$recodeAvailVars <- recodeAllVars$recodeAvailVars[complete.cases(recodeAllVars$recodeAvailVars[ , "Variables"]), , drop = FALSE]
recodeAllVars$recodeSelectedVars <- isolate(recodeAllVars$recodeSelectedVars[-input$recodeVarsSelection_rows_selected, , drop = F])
session$sendCustomMessage("unbindDT", "recodeScheme")
})
# Render the table with the text inputs.
initial.recode.new.values <- reactiveValues(values = NULL)
entered.new.values <- reactiveValues(values = NULL)
new.recoding.values <- reactiveValues(values = NULL)
shinyInput <- function(obj) {
tmp <- unlist(lapply(X = seq_along(obj), FUN = function(i) {
i <- paste0(textInput(inputId = paste0("numinp", i), label = NULL, value = NULL, width = "50px"))
}))
return(tmp)
}
shinyValue <- function(id, len) {
unlist(lapply(seq_len(len), function(i) {
input[[paste0(id, i)]]
}))
}
# Observe the changes in user selection and update the reactive values from above.
observe({
initial.recode.new.values$values <- unlist(unique(file.var.recode$var.levels[recodeAllVars$recodeSelectedVars[ , Variables]]))
entered.new.values$values <- data.table(
V1 = initial.recode.new.values$values,
V2 = initial.recode.new.values$values,
V3 = rep(x = "->", times = length(initial.recode.new.values$values)),
V4 = shinyInput(unlist(unique(file.var.recode$var.levels[recodeAllVars$recodeSelectedVars[ , Variables]])))
)
new.recoding.values$values <- shinyValue(id = "numinp", len = length(unlist(unique(file.var.recode$var.levels[recodeAllVars$recodeSelectedVars[ , Variables]]))))
})
# Render the table with available levels and empty input fields where the user can enter his desired new values.
output$recodeScheme <- renderDT({
if(!is.null(unlist(unique(file.var.recode$var.levels[recodeAllVars$recodeSelectedVars[ , Variables]])))) {
entered.new.values$values
} else {
return(NULL)
}
},
rownames = FALSE,
colnames = c("Available variable values", "Old", "->", "New"),
class = "cell-border stripe;compact cell-border;",
selection="none",
escape = FALSE,
options = list(
pageLength = 1500,
dom = 'BRrt',
rowCallback = JS("function(r,d) {$(r).attr('height', '40px')}"),
preDrawCallback = JS('function() { Shiny.unbindAll(this.api().table().node()); }'),
drawCallback = JS('function() { Shiny.bindAll(this.api().table().node()); } ')))
observe({
print(new.recoding.values$values)
})
})
}
shinyApp(ui, server)
However, I recommend you to read more about reactivity, e.g. here. You use a lot of observers, and you nest them. I don't recommend that, because this can lead to strange behaviour. Also, try to use more reactive/reactiveExpression, because observe/observeEvent can make your app slower. Before I found the correct solution, I tried to unnest your code a bit, and it still works! That shows that you had complexity in your app you actually don't need:
library(shiny)
library(DT)
library(data.table)
library(shinyFiles)
# additional functions
shinyInput <- function(obj) {
tmp <- unlist(lapply(X = seq_along(obj), FUN = function(i) {
i <- paste0(textInput(inputId = paste0("numinp", i), label = NULL, value = NULL, width = "50px"))
}))
return(tmp)
}
shinyValue <- function(id, len, input) {
unlist(lapply(seq_len(len), function(i) {
input[[paste0(id, i)]]
}))
}
ui <- fluidPage(
tags$head(tags$script(
HTML(
"Shiny.addCustomMessageHandler('unbindDT', function(id) {
var $table = $('#'+id).find('table');
if($table.length > 0){
Shiny.unbindAll($table.DataTable().table().node());
}
})")
)),
shinyFilesButton(id = "recodeChooseSrcFile", label = "Choose data file", title = "Navigate and select a file", multiple = FALSE),
fluidRow(
column(width = 6,
DTOutput(outputId = "recodeAllAvailableVars"),
),
column(width = 1, align = "center",
br(), br(), br(), br(), br(), br(), br(), br(), br(), br(),
uiOutput(outputId = "recodeArrowSelVarsRight"),
br(), br(),
uiOutput(outputId = "recodeArrowSelVarsLeft"),
),
column(width = 5,
DTOutput(outputId = "recodeVarsSelection"),
),
br(), br()
),
br(), br(),
DTOutput(outputId = "recodeScheme")
)
server <- function(input, output, session) {
available.volumes <- getVolumes()()
file.var.recode <- reactiveValues(loaded = NULL, var.levels = NULL)
# define variables
# Render the table with the text inputs.
initial.recode.new.values <- reactiveValues(values = NULL)
entered.new.values <- reactiveValues(values = NULL)
new.recoding.values <- reactiveValues(values = NULL)
# Select file and extract the variables.
shinyFileChoose(input, "recodeChooseSrcFile", roots = available.volumes, filetype = list(RData = "RData"))
observeEvent(eventExpr = input$recodeChooseSrcFile, {
if(length(parseFilePaths(available.volumes, input$recodeChooseSrcFile)$datapath) > 0) {
file.var.recode$loaded <- get(load(parseFilePaths(available.volumes, input$recodeChooseSrcFile)$datapath))
file.var.recode$var.levels <- Filter(Negate(is.null), lapply(X = file.var.recode$loaded, FUN = function(i) {
if(is.null(attr(x = i, which = "levels"))) {
NULL
} else {
attr(x = i, which = "levels")
}
}))
file.var.recode$loaded <- data.table(Variables = names(file.var.recode$loaded),
order_col = 1:ncol(file.var.recode$loaded))
}
}, ignoreInit = TRUE)
recodeAllVars <- reactiveValues(recodeAvailVars = data.table(Variables = as.character(), order_col = as.numeric()),
recodeSelectedVars = data.table(Variables = as.character(), order_col = as.numeric()))
# Observe if the file is loaded, and if yes, update the table of available variables.
observe({
if(!is.null(file.var.recode$loaded)) {
recodeAllVars$recodeAvailVars <- file.var.recode$loaded
}
})
# Render the arrow buttons for selecting the variables.
output$recodeArrowSelVarsRight <- renderUI({
if(is.null(file.var.recode$loaded)) {
return(NULL)
} else {
actionButton(inputId = "recodeArrowSelVarsRight", label = NULL, icon("angle-right"), width = "50px")
}
})
output$recodeArrowSelVarsLeft <- renderUI({
if(is.null(file.var.recode$loaded)) {
return(NULL)
} else {
actionButton(inputId = "recodeArrowSelVarsLeft", label = NULL, icon("angle-left"), width = "50px")
}
})
# Render the data table with the available variables.
output$recodeAllAvailableVars <- renderDT({
if(is.null(file.var.recode$loaded)) {
return(NULL)
} else {
setkeyv(x = recodeAllVars$recodeAvailVars, cols = "order_col")
}
},
caption = "Available variables",
rownames = FALSE,
colnames = c("Names", "sortingcol"),
options = list(
ordering = FALSE,
columnDefs = list(list(visible = FALSE, targets = 1))
))
# Render the table with the selected variables.
output$recodeVarsSelection <- renderDT({
if(is.null(file.var.recode$loaded)) {
return(NULL)
} else {
setkeyv(x = recodeAllVars$recodeSelectedVars, cols = "order_col")
}
},
caption = "Available variables",
rownames = FALSE,
colnames = c("Names", "sortingcol"),
options = list(
ordering = FALSE,
columnDefs = list(list(visible = FALSE, targets = 1))
))
# Observe the events of moving variables from available to selected.
observeEvent(input$recodeArrowSelVarsRight, {
req(input$recodeAllAvailableVars_rows_selected)
recodeAllVars$recodeSelectedVars <- rbind(isolate(recodeAllVars$recodeSelectedVars), recodeAllVars$recodeAvailVars[input$recodeAllAvailableVars_rows_selected, , drop = F])
recodeAllVars$recodeSelectedVars <- recodeAllVars$recodeSelectedVars[complete.cases(recodeAllVars$recodeSelectedVars[ , "Variables"]), , drop = FALSE]
recodeAllVars$recodeAvailVars <- isolate(recodeAllVars$recodeAvailVars[-input$recodeAllAvailableVars_rows_selected, , drop = F])
})
observeEvent(input$recodeArrowSelVarsLeft, {
req(input$recodeVarsSelection_rows_selected)
recodeAllVars$recodeAvailVars <- rbind(isolate(recodeAllVars$recodeAvailVars), recodeAllVars$recodeSelectedVars[input$recodeVarsSelection_rows_selected, , drop = F])
recodeAllVars$recodeAvailVars <- recodeAllVars$recodeAvailVars[complete.cases(recodeAllVars$recodeAvailVars[ , "Variables"]), , drop = FALSE]
recodeAllVars$recodeSelectedVars <- isolate(recodeAllVars$recodeSelectedVars[-input$recodeVarsSelection_rows_selected, , drop = F])
session$sendCustomMessage("unbindDT", "recodeScheme")
})
# Observe the changes in user selection and update the reactive values from above.
observe({
initial.recode.new.values$values <- unlist(unique(file.var.recode$var.levels[recodeAllVars$recodeSelectedVars[ , Variables]]))
entered.new.values$values <- data.table(
V1 = initial.recode.new.values$values,
V2 = initial.recode.new.values$values,
V3 = rep(x = "->", times = length(initial.recode.new.values$values)),
V4 = shinyInput(unlist(unique(file.var.recode$var.levels[recodeAllVars$recodeSelectedVars[ , Variables]])))
)
new.recoding.values$values <- shinyValue(id = "numinp",
len = length(unlist(unique(file.var.recode$var.levels[recodeAllVars$recodeSelectedVars[ , Variables]]))),
input = input)
})
# Render the table with available levels and empty input fields where the user can enter his desired new values.
output$recodeScheme <- renderDT({
if(!is.null(unlist(unique(file.var.recode$var.levels[recodeAllVars$recodeSelectedVars[ , Variables]])))) {
entered.new.values$values
} else {
return(NULL)
}
},
rownames = FALSE,
colnames = c("Available variable values", "Old", "->", "New"),
class = "cell-border stripe;compact cell-border;",
selection="none",
escape = FALSE,
options = list(
pageLength = 1500,
dom = 'BRrt',
rowCallback = JS("function(r,d) {$(r).attr('height', '40px')}"),
preDrawCallback = JS('function() { Shiny.unbindAll(this.api().table().node()); }'),
drawCallback = JS('function() { Shiny.bindAll(this.api().table().node()); } ')))
observe({
print(new.recoding.values$values)
})
# end of server
}
shinyApp(ui, server)
There is still some room for improvement, e.g. you could try to use a reactive instead of observe for the following snippet:
# Observe if the file is loaded, and if yes, update the table of available variables.
observe({
if(!is.null(file.var.recode$loaded)) {
recodeAllVars$recodeAvailVars <- file.var.recode$loaded
}
})
I am trying to create a data filter using R Shiny and DataTables, So far I am able to add the data and when I click on Add New Filter after selecting the variables , The selected variable values is refreshed.
Please help me so when I add new row , the selected variable remains same.
Below is the code:
server.r
library(shiny)
library(shinyBS)
library(shinyjs)
library(DT)
library(rhandsontable)
shinyServer(function(input, output, session) {
myValue <- reactiveValues()
observe({
if(is.null(myValue$Filter)){
Choices<- c("a","b","c","d")
myValue$Filter = data.frame(
Variable = shinyInput(selectInput, 1:5, 'var_', cl = "dynamicInputs", label = "", choices = Choices ,selected=Choices[1]),
Filter = shinyInput(actionButton, 1:5, 'go_button_', cl=NULL, label = "Filter", onclick = goButtonOnClick()) ,
Logic = c(NA,shinyInput(selectInput, 2:5, 'logic_', cl = "dynamicInputs",label = "", choices = c("And","Or"))),
Remove = c(NA,shinyInput(actionButton, 2:5, 'remove_button_',cl=NULL, "", icon = icon("close"), onclick = removeButtonOnClick())),
stringsAsFactors = FALSE,
row.names = 1:5
)
maxId<<-5
}
})
#Functions
shinyInput <- function(FUN, objs, id,cl= NULL, ...) {
inputs <- character(length(objs))
if(is.null(cl)){
for (i in 1:length(objs)) {
inputs[i] <- as.character(FUN(paste0(id, objs[i]), ...))
}
}
else {
for (i in 1:length(objs)) {
inputs[i] <- as.character(div(class=cl,FUN(paste0(id, objs[i]), ...)))
}
}
inputs
}
goButtonOnClick <- function() {
return('Shiny.onInputChange(\"select_button\", this.id) ;
Shiny.setInputValue(\"filter_button_change\", Math.random()) ')
}
removeButtonOnClick <- function() {
return('Shiny.onInputChange(\"select_remove_button\", this.id)')
}
extractValues<-function(idSeq,objName){
unlist(lapply(idSeq,function(id){
selected<-as.numeric(id)
return(as.character(shinyValue(objName, selected)))
}))
}
# Add new Condition Row
observeEvent(input$addnewRow,{
if(is.null(myValue$Filter) || nrow(myValue$Filter)==0)
return()
idSeq<-unlist(lapply(myValue$Filter$Filter,function(x){
buttonId<-stringr::str_extract(x,paste0("go_button_","\\d+"))
num<-as.numeric(gsub("go_button_","",buttonId))
return(num)
}))
allVars<-extractValues(idSeq,"var_")
allLogic<-extractValues(idSeq,"logic_")
Choices<- c("a","b","c","d")
Variable<-unlist(lapply(1:length(idSeq),function(i){
shinyInput(selectInput, idSeq[i], 'var_', cl = "dynamicInputs", label = "", choices = Choices ,selected=allVars[i])
}))
Logic<-unlist(lapply(1:length(idSeq),function(i){
if(is.na(allLogic[i]))
return(NA)
shinyInput(selectInput, idSeq[i], 'logic_', cl = "dynamicInputs",label = "", choices = c("And","Or"),selected=allLogic[i])
}))
myValue$Filter$Variable<-Variable
myValue$Filter$Logic<-Logic
maxId<<-maxId+1
newRow <- data.frame(
Variable = shinyInput(selectInput, maxId, 'var_', cl = "dynamicInputs", label = "", choices = Choices),
Filter = shinyInput(actionButton, maxId, 'go_button_',cl=NULL, label = "Filter", onclick = goButtonOnClick() ),
Logic = shinyInput(selectInput, maxId, 'logic_',cl = "dynamicInputs", label = "", choices = c("And","Or")),
Remove = shinyInput(actionButton, maxId, 'remove_button_',cl=NULL, "", icon = icon("close"), onclick = removeButtonOnClick() ),
stringsAsFactors = FALSE
)
rownames(newRow) <- as.character(nrow(myValue$Filter)+1)
myValue$Filter <- rbind(myValue$Filter,newRow)
})
# Remove Row
observeEvent(input$select_remove_button,{
if(is.null(myValue$Filter) || nrow(myValue$Filter)==0)
return()
idSeq<-unlist(lapply(myValue$Filter$Filter,function(x){
buttonId<-stringr::str_extract(x,paste0("go_button_","\\d+"))
num<-as.numeric(gsub("go_button_","",buttonId))
return(num)
}))
allVars<-extractValues(idSeq,"var_")
allLogic<-extractValues(idSeq,"logic_")
Choices <- c("a","b","c","d")
Variable<-unlist(lapply(1:length(idSeq),function(i){
shinyInput(selectInput, idSeq[i], 'var_', cl = "dynamicInputs", label = "", choices = Choices ,selected=allVars[i])
}))
Logic<-unlist(lapply(1:length(idSeq),function(i){
if(is.na(allLogic[i]))
return(NA)
shinyInput(selectInput, idSeq[i], 'logic_', cl = "dynamicInputs",label = "", choices = c("And","Or"),selected=allLogic[i])
}))
myValue$Filter$Variable<-Variable
myValue$Filter$Logic<-Logic
rowToRemove<- which(unlist(lapply(myValue$Filter$Remove,function(x){stringr::str_extract(x,paste0("remove_button_","\\d+"))}))==input$select_remove_button)
myValue$Filter<-myValue$Filter[-rowToRemove,]
if(nrow(myValue$Filter)>0)
rownames(myValue$Filter)<-as.character(1:nrow(myValue$Filter))
})
# Display bsModal for filter
observeEvent(input$filter_button_change, {
toggleModal(session,"CustomDataFilter",toggle="open")
})
# helper function for reading selectinput
shinyValue = function(id, objs) {
unlist(lapply(objs, function(i) {
value = input[[paste0(id, i)]]
if (is.null(value))
NA
else{
value
}
}))
}
# Show Filter Table
output$mytable = DT::renderDataTable({
if(is.null(myValue$Filter))
return()
myValue$Filter
}, selection = 'none', server = FALSE, escape = FALSE, options = list(
dom = "ti",
paging = TRUE,
preDrawCallback = JS(
'function() {
Shiny.unbindAll(this.api().table().node()); }'
),
drawCallback = JS('function() {
Shiny.bindAll(this.api().table().node()); } ')
))
})
ui.r
library(shiny)
library(shinyBS)
library(shinyjs)
library(DT)
library(rhandsontable)
shinyUI(fluidPage(
tags$head(tags$script(HTML("
$(document).on('change', '.dynamicInputs .selector select', function(){
Shiny.setInputValue('lastSelectId', this.id, {priority: 'event'});
});
"))),
tags$script(
HTML(
"Shiny.addCustomMessageHandler('unbind-DT', function(id) {
Shiny.unbindAll($('#'+id).find('table').DataTable().table().node());
})"
)
),
tags$button(
id = "reset_button",
class="btn action-button",
icon("close")
),
bsModal("CustomDataFilter","Settings","go_CustomDataFilter_Settings",size="large",
uiOutput("FilterDataSettings")
),
bsModal("CustomDataFormula","Settings","go_CustomDataFormula_Settings",size="large",
uiOutput("CustomDataFormula")
),
actionButton("addnewRow"," Add New Filter "),
DT::dataTableOutput('mytable')
)
)
I have a named list as follows:
vegshop <- list(
"FRUITS" = c("MANGO", "JACKFRUIT", "BANANA"),
'VEGETABLES' = c("OKRA", "BEANS", "CABBAGE")
)
I am trying to order the list based on the names, and this works fine.
vegshop[order(names(vegshop), decreasing = F)]
However when I try to do using an actionButton(), I am getting the following error:
the condition has `length > 1` and only the first element will be used
or
Warning: Error in order: unimplemented type 'list' in 'orderVector1'
A workable example is as follows:
vegshop <- list(
"FRUITS" = c("MANGO", "JACKFRUIT", "BANANA"),
'VEGETABLES' = c("OKRA", "BEANS", "CABBAGE")
)
grocer <- list(
"GROCERY" = c("CEREALS", "PULSES", "TOILETRIES"),
"CLEANERS" = c("DETERGENTS", "FLOOR CLEANERS", "WIPES")
)
library(shiny)
ui <- shinyUI(
fluidPage(
actionButton(style = "font-size: 10px;",inputId = "a2z", label = "Sort-A-Z", icon = icon("sort-alpha-asc")),
radioButtons(inputId = "shopsel", label = "SELECT SHOP", choices = c("SHOPS","SUPERMARKETS"), selected = "SHOPS", inline = TRUE),
uiOutput("shoplist")))
server <- function(session,input, output) {
output$shoplist <- renderUI({
if(input$shopsel == "SHOPS") {
selectInput(inputId = "vegShopList", label = "SHOPLIST", choices = vegshop, selected = c('MANGO', 'JACKFRUIT', 'BANANA'), multiple = TRUE, selectize = FALSE)
} else if(input$shopsel == "SUPERMARKETS") {
selectInput(inputId = "smList", label = "SUPERMARKET", choices = grocer, selected = c('CEREALS', 'PULSES', 'TOILETRIES'), multiple = TRUE, selectize = FALSE)
}
})
observeEvent(input$a2z, {
if(input$shopsel == "SHOPS") {
updateSelectInput(session, inputId = "vegShopList", choices = vegshop[order(vegshop), decreasing = F], selected = NULL)
} else if(input$shopsel == "SUPERMARKETS") {
updateSelectInput(session, inputId = "smList", choices = grocer[order(grocer), decreasing = F], selected = NULL)
}
})
}
shinyApp(ui = ui, server = server)
How could I get the list sorted by the names using the actionButton().
You have a typo:
Outside shiny you write:
vegshop[order(names(vegshop), decreasing = F)]
Within shiny:
vegshop[order(vegshop), decreasing = F]
The same probably holds for the following shiny code snippet:
grocer[order(grocer), decreasing = F]
I am creating a shiny app that dynamically creates a set of input boxes, the input from those boxes is then used to further create another set of input boxes.
First I get input from the "number of questions" text box and dynamically add that number of "question panels" to the ui (example below).
Issue
The issue is that the generated objects are always attached to the output, and I can't figure out how to grab new user input from them. How could I get this input, and then generate a second round of "answer" input boxes?
ui.R
shinyUI(fluidPage(
titlePanel("RSurvey"),
numericInput("questionCountText", label = h3("Number of Questions"), value = 1),
uiOutput("questionSet")
))
server.R
shinyServer(
function(input, output) {
output[['questionSet']] <- renderUI({
outputHtml = ""
count = input$questionCountText
if(count > 0) {
for(i in 1:input$questionCountText) {
outputHtml = paste0(outputHtml, questionPanel(i))
}
}
HTML(outputHtml)
})
}
)
questionPanel = function(i)
{
return(wellPanel(div(style="display:inline-block", textInput("questionText", label = h4(paste0("Question ", i)), "Enter your question")),
numericInput1("answerCountText", label = h4("Number of Answers"), value = 3, onchange="onTextChanged(this.value)")))
}
numericInput1 = function (inputId, label, value = "", ...)
{
div(style="display:inline-block",
tags$label(label, `for` = inputId),
tags$input(id = inputId, type = "numeric", value = value, ...))
}
Hello try this for example :
#ui
ui <- fluidPage(
titlePanel("RSurvey"),
numericInput("questionCountText", label = h3("Number of Questions"), value = 1),
uiOutput("questionSet"),
verbatimTextOutput(outputId = "answers")
)
#server
server <- function(input, output) {
output[['questionSet']] <- renderUI({
outputHtml = ""
count = input$questionCountText
if(count > 0) {
for(i in 1:input$questionCountText) {
outputHtml = paste0(outputHtml, questionPanel(i))
}
}
HTML(outputHtml)
})
output$answers <- renderPrint({
invisible(
sapply(
X = seq_len(input$questionCountText),
FUN = function(i) {
cat(paste0("Question", i, "\n", input[[paste0("questionText", i)]], "\n", input[[paste0("answerCountText", i)]], "\n"))
}
)
)
})
}
#app
shinyApp(ui = ui, server = server)
#utils
questionPanel = function(i) {
wellPanel(
div(
style="display:inline-block",
textInput2(inputId = paste0("questionText", i), label = h4(paste0("Question ", i)), placeholder = "Enter your question")
),
numericInput1(inputId = paste0("answerCountText", i), label = h4("Number of Answers"), value = 3, onchange="onTextChanged(this.value)")
)
}
numericInput1 = function (inputId, label, value = "", ...) {
div(style="display:inline-block", class = "form-group shiny-input-container",
tags$label(label, `for` = inputId),
tags$input(id = inputId, type = "number", value = value, ...))
}
`%AND%` <- shiny:::`%AND%`
textInput2 <- function (inputId, label, value = "", placeholder = NULL, width = NULL)
{
if (is.null(placeholder)) {
div(class = "form-group shiny-input-container", style = if (!is.null(width))
paste0("width: ", validateCssUnit(width), ";"), label %AND%
tags$label(label, `for` = inputId), tags$input(id = inputId,
type = "text", class = "form-control", value = value))
} else {
div(class = "form-group shiny-input-container", style = if (!is.null(width))
paste0("width: ", validateCssUnit(width), ";"), label %AND%
tags$label(label, `for` = inputId), tags$input(id = inputId, placeholder = placeholder,
type = "text", class = "form-control", value = value))
}