Lapply with labels = names(x), returns weird shiny NULL HTML class; lapply with labels = as.character(names(x)), returns the correct HTML class but doesn't put a label. Any ideas why?
REPREX:
library(shiny)
items <- list(
"A" = "a",
"B", = "b"
)
num_inputs <- function(items){
labels <- names(items)
temp. <- NULL
for(i in 1:length(items)){
temp. <- list(temp., numericInput(inputId = items[i],
label = labels[i],
value = 1,
min = 0,
max = 10,
step = 0.1)
)
}
return(temp.)
}
# doesn't work
num_inputs_fail <- function(items){
lapply(items, FUN = function(x){
numericInput(inputId = x,
label = as.character(names(x)),
value = 1,
min = 0,
max = 10,
step = 0.1)
})
}
attempt1 <- tagList(num_inputs(items))
attempt2 <- tagList(num_inputs_fail(items))
Notice here (for just attempt1[1] and attempt[2] that the label is almost the same, but the actual label is missing!
<div class="form-group shiny-input-container">
<label class="control-label" for="a">A</label>
<input id="a" type="number" class="form-control" value="1" min="0" max="10" step="0.1"/>
</div>
<div class="form-group shiny-input-container">
<label class="control-label" for="a"></label>
<input id="a" type="number" class="form-control" value="1" min="0" max="10" step="0.1"/>
</div>
This page: Create dynamic number of input elements with R/Shiny
Includes the following code:
output$sliders <- renderUI({
members <- as.integer(input$members) # default 2
max_pred <- as.integer(input$max_pred) # default 5000
lapply(1:members, function(i) {
sliderInput(inputId = paste0("ind", i), label = paste("Individual", i),
min = 0, max = max_pred, value = c(0, 500), step = 100)
})
})
Inside a renderUI and the shiny app linked seems to correctly have the labels; but even using the paste() function inside my lapply doesn't fix it.
My R version: "R version 3.5.1 (2018-07-02)"
My Shiny version: '1.4.0'
lapply
does not map the elements of the input list with their name.
As suggested by @Ben, you can map names(items)
instead of mapping items
. An example:
items <- list(
"A" = "a",
"B" = "b"
)
lapply(names(items), function(x) data.frame(id = x, label = items[[x]]))
# [[1]]
# id label
# 1 A a
#
# [[2]]
# id label
# 1 B b
An alternative is to use purrr::imap
:
purrr::imap(items, ~ data.frame(id = .y, label = .x)) # .y: name .x: value
# $A
# id label
# 1 A a
#
# $B
# id label
# 1 B b
(imap
stands for "indexed map").
Or purrr::imap(items, function(value, name) data.frame(id = name, label = value))
.