# project.aid::merge_scripts(list.files("R/",full.names = TRUE),dest = here::here("app/functions.R")) # source(here::here("app/functions.R")) # source("https://raw.githubusercontent.com/agdamsbo/webResearch/refs/heads/main/app/functions.R") library(readr) library(MASS) library(stats) library(gtsummary) library(gt) library(openxlsx2) library(haven) library(readODS) library(shiny) library(bslib) library(assertthat) library(dplyr) library(quarto) library(here) library(broom) library(broom.helpers) if (!requireNamespace("webResearch")) { devtools::install_github("agdamsbo/webResearch", quiet = TRUE, upgrade = "never") } library(webResearch) server <- function(input, output, session) { v <- shiny::reactiveValues( list = NULL, ds = NULL, input = exists("webResearch_data"), local_temp = NULL ) ds <- shiny::reactive({ # input$file1 will be NULL initially. After the user selects # and uploads a file, head of that data file by default, # or all rows if selected, will be shown. if (v$input) { out <- webResearch_data } else { shiny::req(input$file) out <- read_input(input$file$datapath) } v$ds <- "present" return(out) }) output$include_vars <- shiny::renderUI({ selectizeInput( inputId = "include_vars", selected = NULL, label = "Covariables to include", choices = colnames(ds())[-match(input$outcome_var, colnames(ds()))], multiple = TRUE ) }) output$outcome_var <- shiny::renderUI({ selectInput( inputId = "outcome_var", selected = NULL, label = "Select outcome variable", choices = colnames(ds()), multiple = FALSE ) }) output$data.input <- shiny::renderTable({ ds() }) shiny::observeEvent( { input$load }, { shiny::req(input$outcome_var) # Assumes all character variables can be formatted as factors data <- ds() |> dplyr::mutate(dplyr::across(dplyr::where(is.character), as.factor)) if (is.factor(data[[input$outcome_var]])) { by.var <- input$outcome_var } else { by.var <- NULL } if (is.null(input$include_vars)) { base_vars <- NULL } else { base_vars <- c(input$include_vars, input$outcome_var) } v$list <- list( data = data, table1 = data |> baseline_table( vars = base_vars, fun.args = list( by = by.var ) ), table2 = data |> regression_model( outcome.str = input$outcome_var, auto.mode = input$regression_auto == 1, formula.str = input$regression_formula, fun = input$regression_fun, args.list = eval(parse(text = paste0("list(", input$regression_args, ")"))), vars = input$include_vars ) |> regression_table() ) output$table1 <- gt::render_gt( v$list$table1 |> gtsummary::as_gt() ) output$table2 <- gt::render_gt( v$list$table2 |> gtsummary::as_gt() ) } ) output$uploaded <- shiny::reactive({ if (is.null(v$ds)) { "no" } else { "yes" } }) shiny::outputOptions(output, "uploaded", suspendWhenHidden = FALSE) output$has_input <- shiny::reactive({ if (v$input) { "yes" } else { "no" } }) shiny::outputOptions(output, "has_input", suspendWhenHidden = FALSE) ##### #### Generating output ##### # Downloadable csv of selected dataset ---- # output$downloadData <- shiny::downloadHandler( # filename = "index_lookup.csv", # content = function(file) { # write.csv(v$index, file, row.names = FALSE) # } # ) # Could be rendered with other tables or should show progress # Investigate quarto render problems # On temp file handling: https://github.com/quarto-dev/quarto-cli/issues/3992 output$report <- downloadHandler( filename = "analyses.html", content = function(file) { local.temp <- paste0("temp.", tools::file_ext(file)) v$list |> write_quarto( file = local.temp, qmd.file = file.path(getwd(), "www/analyses.qmd") ) v$local_temp <- local.temp file.rename(v$local_temp, file) } ) # }