I have the following app which I created with some help from stack overflow
I want to be able to pick the practice for each doctor, then create a table based on the user input, then be able to export that table.
The app needs to adjust for a variable amount of doctors each time (the real app pulls from a dynamic database with new docs being added daily), hence the renderUI with conditional panels
I am having trouble passing selections from the practice into a table which I can render and export.
Any help much appreciated.
Here is my reprex
library(tidyverse)
library(shiny)
find_docs <- dplyr::tibble(record = c("joe", "mary", "dan", "suzie"))
locs_locs <- dplyr::tibble(record = c("practice1", "practice2", "practice3"))
mytable <- dplyr::tibble(
doc = find_docs$record,
location = rep("", length(find_docs$record))
)
ui <- fluidPage(
#numericInput("num_selected", label = "Fields to Display", value = 0, min = 0, max = 10, step = 1),
uiOutput("condPanels"),
tableOutput(outputId = "mydt")
)
server<-function(input,output,session){
output$condPanels <- renderUI({
# if selected value = 0 dont create a condPanel,...
# if(!input$num_selected) return(NULL)
tagList(
lapply(head(find_docs$record), function(nr){
conditionalPanel(
condition = paste0("Find DOC", nr),
fluidRow(
column(3,
tags$br(),
nr
),
column(3, selectInput(paste0("DOC", nr), "pick loc",
choices = locs_locs))
)
)
})
)
})
output$mydt <- renderTable({
#somehow i need to use mytable here
z <- data.frame( g = rep(input$find_docs$record[1], length(find_docs$record)))
z
# i want to render a table of find_docs in one column, and the selections in a second column)
# then i want to be able to export the table as csv
})
}
shinyApp(ui=ui, server=server)
I think I was able to capture your two needs. First, I took the inputs from each of the select inputs to create the table. I used lapply to pass each of the doctors to the input name. Then I combined this with the doctor list to create a data frame and a table.
I used the package DT for the second part of your request, to be able to download. DT has an extension which has a really easy way to download files in different ways. Hopefully this helps, good luck!
library(tidyverse)
library(shiny)
library(DT) #Added DT to download the table easily
find_docs <- dplyr::tibble(record = c("joe", "mary", "dan", "suzie"))
locs_locs <- dplyr::tibble(record = c("practice1", "practice2", "practice3"))
mytable <- dplyr::tibble(
doc = find_docs$record,
location = rep("", length(find_docs$record))
)
ui <- fluidPage(
uiOutput("condPanels"),
DTOutput(outputId = "mydt")
)
server<-function(input,output,session){
output$condPanels <- renderUI({
tagList(
lapply(head(find_docs$record), function(nr){
conditionalPanel(
condition = paste0("Find DOC", nr),
fluidRow(
column(3,
tags$br(),
nr
),
column(3, selectInput(paste0("DOC", nr), "pick loc",
choices = locs_locs))
)
)
})
)
})
output$mydt <- renderDT({
#An error will occur without this as it's trying to pull before these inputs are rendered
req(input[[paste0("DOC",find_docs$record[1])]])
z<-lapply(find_docs$record, function(x){
input[[paste0("DOC",x)]]
}) #Grab each of the inputs
z2 <- data.frame("DOC" = find_docs$record, "LOC" = unlist(z)) #Combine into a data frame
z2
}, extensions = "Buttons", #Using the extension addon of DT to have options to download the table
options = list(dom = 'Bfrtip',
buttons = c('csv')) #Download types
)
}
shinyApp(ui=ui, server=server)
If you didn't want to use DT, you could also put the table into a reactiveValue, and then download it using the download button. Both of these download options are visible on this other page I just realized: Shiny R - download the result of a table